资本结构、股权结构与公司绩效的外文翻译
资本结构中英文对照外文翻译文献
中英文对照外文翻译(文档含英文原文和中文翻译)The effect of capital structure on profitability : an empirical analysis of listed firms in Ghana IntroductionThe capital structure decision is crucial for any business organization. The decision is important because of the need to maximize returns to various organizational constituencies, and also because of the impact such a decision has on a firm’s ability to deal with its competitive environment. The capital structure of a firm is actually a mix of different securities. In general, a firm can choose among many alternative capital structures. It can issue a large amount of debt or very little debt. It can arrange lease financing, use warrants, issue convertible bonds, sign forward contracts or trade bond swaps. It can issue dozens of distinct securities in countless combinations; however, it attempts to find the particular combination that maximizes its overall market value.A number of theories have been advanced in explaining the capital structure of firms. Despite the theoretical appeal of capital structure, researchers in financial management have not found the optimal capital structure. The best that academics and practitioners have been able to achieve are prescriptions that satisfy short-term goals. For example, the lack of a consensus about what would qualify as optimal capital structure has necessitated the need for this research. A better understanding of the issues at hand requires a look at the concept of capital structure and its effect on firm profitability. This paper examines the relationship between capital structure and profitability of companies listed on the Ghana Stock Exchange during the period 1998-2002. The effect of capital structure on the profitability of listed firms in Ghana is a scientific area that has not yet been explored in Ghanaian finance literature.The paper is organized as follows. The following section gives a review of the extant literature on the subject. The next section describes the data and justifies the choice of the variables used in the analysis. The model used in the analysis is then estimated. The subsequent section presents and discusses the results of the empirical analysis. Finally, the last section summarizes the findings of the research and also concludes the discussion.Literature on capital structureThe relationship between capital structure and firm value has been the subject of considerable debate. Throughout the literature, debate has centered on whether there is an optimal capital structure for an individual firm or whether the proportion of debt usage is irrelevant to the individual firm’s value. The capital structure of a firm concerns the mix of debt and equity the firm uses in its operation. Brealey and Myers (2003) contend that the choice of capital structure is fundamentally a marketing problem. They state that the firm can issue dozens of distinct securities in countless combinations, but it attempts to find the particular combination that maximizes market value. According to Weston and Brigham (1992), the optimal capital structure is the one that maximizes the market value of the firm’s outstanding shares.Fama and French (1998), analyzing the relationship among taxes, financing decisions, and the firm’s value, concluded that the debt does not concede tax b enefits. Besides, the high leverage degree generates agency problems among shareholders and creditors that predict negative relationships between leverage and profitability. Therefore, negative information relating debt and profitability obscures the tax benefit of the debt. Booth et al. (2001) developed a study attempting to relate the capital structure of several companies in countries with extremely different financial markets. They concluded thatthe variables that affect the choice of the capital structure of the companies are similar, in spite of the great differences presented by the financial markets. Besides, they concluded that profitability has an inverse relationship with debt level and size of the firm. Graham (2000) concluded in his work that big and profitable companies present a low debt rate. Mesquita and Lara (2003) found in their study that the relationship between rates of return and debt indicates a negative relationship for long-term financing. However, they found a positive relationship for short-term financing and equity.Hadlock and James (2002) concluded that companies prefer loan (debt) financing because they anticipate a higher return. Taub (1975) also found significant positive coefficients for four measures of profitability in a regression of these measures against debt ratio. Petersen and Rajan (1994) identified the same association, but for industries. Baker (1973), who worked with a simultaneous equations model, and Nerlove (1968) also found the same type of association for industries. Roden and Lewellen (1995) found a significant positive association between profitability and total debt as a percentage of the total buyout-financing package in their study on leveraged buyouts. Champion (1999) suggested that the use of leverage was one way to improve the performance of an organization.In summary, there is no universal theory of the debt-equity choice. Different views have been put forward regarding the financing choice. The present study investigates the effect of capital structure on profitability of listed firms on the GSE.MethodologyThis study sampled all firms that have been listed on the GSE over a five-year period (1998-2002). Twenty-two firms qualified to be included in the study sample. Variables used for the analysis include profitability and leverage ratios. Profitability is operationalized using a commonly used accounting-based measure: the ratio of earnings before interest and taxes (EBIT) to equity. The leverage ratios used include:. short-term debt to the total capital;. long-term debt to total capital;. total debt to total capital.Firm size and sales growth are also included as control variables.The panel character of the data allows for the use of panel data methodology. Panel data involves the pooling of observations on a cross-section of units over several time periods and provides results that are simply not detectable in pure cross-sections or pure time-series studies. A general model for panel data that allows the researcher to estimate panel data with great flexibility and formulate the differences in the behavior of thecross-section elements is adopted. The relationship between debt and profitability is thus estimated in the following regression models:ROE i,t =β0 +β1SDA i,t +β2SIZE i,t +β3SG i,t + ëi,t (1) ROE i,t=β0 +β1LDA i,t +β2SIZE i,t +β3SG i,t + ëi,t (2) ROE i,t=β0 +β1DA i,t +β2SIZE i,t +β3SG i,t + ëi,t (3)where:. ROE i,t is EBIT divided by equity for firm i in time t;. SDA i,t is short-term debt divided by the total capital for firm i in time t;. LDA i,t is long-term debt divided by the total capital for firm i in time t;. DA i,t is total debt divided by the total capital for firm i in time t;. SIZE i,t is the log of sales for firm i in time t;. SG i,t is sales growth for firm i in time t; and. ëi,t is the error term.Empirical resultsTable I provides a summary of the descriptive statistics of the dependent and independent variables for the sample of firms. This shows the average indicators of variables computed from the financial statements. The return rate measured by return on equity (ROE) reveals an average of 36.94 percent with median 28.4 percent. This picture suggests a good performance during the period under study. The ROE measures the contribution of net income per cedi (local currency) invested by the firms’ stockholders; a measure of the efficiency of the owners’ invested capital. The variable SDA measures the ratio of short-term debt to total capital. The average value of this variable is 0.4876 with median 0.4547. The value 0.4547 indicates that approximately 45 percent of total assets are represented by short-term debts, attesting to the fact that Ghanaian firms largely depend on short-term debt for financing their operations due to the difficulty in accessing long-term credit from financial institutions. Another reason is due to the under-developed nature of the Ghanaian long-term debt market. The ratio of total long-term debt to total assets (LDA) also stands on average at 0.0985. Total debt to total capital ratio(DA) presents a mean of 0.5861. This suggests that about 58 percent of total assets are financed by debt capital. The above position reveals that the companies are financially leveraged with a large percentage of total debt being short-term.Table I.Descriptive statisticsMean SD Minimum Median Maximum━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ROE 0.3694 0.5186 -1.0433 0.2836 3.8300SDA 0.4876 0.2296 0.0934 0.4547 1.1018LDA 0.0985 0.1803 0.0000 0.0186 0.7665DA 0.5861 0.2032 0.2054 0.5571 1.1018SIZE 18.2124 1.6495 14.1875 18.2361 22.0995SG 0.3288 0.3457 20.7500 0.2561 1.3597━━━━━━━━━━━━━━━━━━━━━━━━━━━━━Regression analysis is used to investigate the relationship between capital structure and profitability measured by ROE. Ordinary least squares (OLS) regression results are presented in Table II. The results from the regression models (1), (2), and (3) denote that the independent variables explain the debt ratio determinations of the firms at 68.3, 39.7, and 86.4 percent, respectively. The F-statistics prove the validity of the estimated models. Also, the coefficients are statistically significant in level of confidence of 99 percent.The results in regression (1) reveal a significantly positive relationship between SDA and profitability. This suggests that short-term debt tends to be less expensive, and therefore increasing short-term debt with a relatively low interest rate will lead to an increase in profit levels. The results also show that profitability increases with the control variables (size and sales growth). Regression (2) shows a significantly negative association between LDA and profitability. This implies that an increase in the long-term debt position is associated with a decrease in profitability. This is explained by the fact that long-term debts are relatively more expensive, and therefore employing high proportions of them could lead to low profitability. The results support earlier findings by Miller (1977), Fama and French (1998), Graham (2000) and Booth et al. (2001). Firm size and sales growth are again positively related to profitability.The results from regression (3) indicate a significantly positive association between DA and profitability. The significantly positive regression coefficient for total debt implies that an increase in the debt position is associated with an increase in profitability: thus, the higher the debt, the higher the profitability. Again, this suggests that profitable firms depend more on debt as their main financing option. This supports the findings of Hadlock and James (2002), Petersen and Rajan (1994) and Roden and Lewellen (1995) that profitable firms use more debt. In the Ghanaian case, a high proportion (85 percent)of debt is represented by short-term debt. The results also show positive relationships between the control variables (firm size and sale growth) and profitability.Table II.Regression model results━━━━━━━━━━━━━━━━━━━━━━━━━━━━━Profitability (EBIT/equity)Ordinary least squares━━━━━━━━━━━━━━━━━━━━━━━━━━━━━Variable 1 2 3SIZE 0.0038 (0.0000) 0.0500 (0.0000) 0.0411 (0.0000)SG 0.1314 (0.0000) 0.1316 (0.0000) 0.1413 (0.0000)SDA 0.8025 (0.0000)LDA -0.3722(0.0000)DA -0.7609(0.0000)R²0.6825 0.3968 0.8639SE 0.4365 0.4961 0.4735Prob. (F) 0.0000 0.0000 0.0000━━━━━━━━━━━━━━━━━━━━━━━━━━━━ConclusionsThe capital structure decision is crucial for any business organization. The decision is important because of the need to maximize returns to various organizational constituencies, and also because of the impact such a decision has on an organization’s ability to deal with its competitive environment. This present study evaluated the relationship between capital structure and profitability of listed firms on the GSE during a five-year period (1998-2002). The results revealed significantly positive relation between SDA and ROE, suggesting that profitable firms use more short-term debt to finance their operation. Short-term debt is an important component or source of financing for Ghanaian firms, representing 85 percent of total debt financing. However, the results showed a negative relationship between LDA and ROE. With regard to the relationship between total debt and profitability, the regression results showed a significantly positive association between DA and ROE. This suggests that profitable firms depend more on debt as their main financing option. In the Ghanaian case, a high proportion (85 percent) of the debt is represented in short-term debt.译文加纳上市公司资本结构对盈利能力的实证研究论文简介资本结构决策对于任何商业组织都是至关重要的。
资本结构、股权结构与公司绩效外文翻译
资本结构、股权结构与公司绩效外文翻译中文2825字1868单词外文文献:Capital structure, equity ownership and firm performanceDimitris Margaritis, Maria Psillaki 1Abstract:This paper investigates the relationship between capital structure, ownership structure and firm performance using a sample of French manufacturing firms. We employ non-parametric data envelopment analysis (DEA) methods to empirically construct the industry’s ‘best practice’frontier and measure firm efficiency as the distance from that frontier. Using these performance measures we examine if more efficient firms choose more or less debt in their capital structure. We summarize the contrasting effects of efficiency on capital structure in terms of two competing hypotheses: the efficiency-risk and franchise value hypotheses. Using quantile regressions we test the effect of efficiency on leverage and thus the empirical validity of the two competing hypotheses across different capital structure choices. We also test the direct relationship from leverage to efficiency stipulated by the Jensen and Meckling (1976) agency cost model. Throughout this analysis we consider the role of ownership structure and type on capital structure and firm performance.Firm performance, capital structure and ownershipConflicts of interest between owners-managers and outside shareholders as well as those between controlling and minority shareholders lie at the heart of the corporate governance literature (Berle and Means, 1932; Jensen and Meckling, 1976;Shleifer and Vishny, 1986). While there is a relatively large literature on the effects of ownership on firm performance (see for example, Morck et al., 1988; McConnell and Servaes, 1990; Himmelberg et al., 1999), the relationship between ownership structure and capital structure remains largely unexplored. On the other hand, a voluminous literature is devoted to capital structure and its effects on corporate performance –see the surveys by Harris and Raviv (1991) and Myers (2001). An emerging consensus that comes out of the corporate governance literature (see Mahrt-Smith, 2005) is that the interactions between capital structure and ownership structure impact on firm values. Yet theoretical arguments alone cannot unequivocally predict these relationships (see Morck et al., 1988) and the empirical evidence that we have often appears to be contradictory. In part these conflicting results arise from difficulties empirical researchers face in obtaining direct measures of the magnitude of agency costs that are not confounded by factors that are beyond the control of management (Berger and Bonaccorsi di Patti, 2006). In the remainder of this section we briefly review the literature in this area focusing on the main hypotheses of interest for this study.Firm performance and capital structureThe agency cost theory is premised on the idea that the interests of the company’s managers and its shareholders are not perfectly aligned. In their seminal paper Jensen and Meckling (1976) emphasized the importance of the agency costs of equity arising from the separation of ownership and control of firms whereby managers tend to maximize their own utility rather than the value of the firm. These conflicts may occur in situations where managers have incentives to take1来源:Journal of Banking & Finance , 2010 (34) : 621–632,本文翻译的是第二部分excessive risks as part of risk shifting investment strategies. This leads us to Jensen’s (1986) “free cash flow theory”where as stated by Jensen (1986, p. 323) “the pro blem is how to motivate managers to disgorge the cash rather than investing it below the cost of capital or wasting it on organizational inefficiencies.”Thus high debt ratios may be used as a disciplinary device to reduce managerial cash flow waste through the threat of liquidation (Grossman and Hart, 1982) or through pressure to generate cash flows to service debt (Jensen, 1986). In these situations, debt will have a positive effect on the value of the firm.Agency costs can also exist from conflicts between debt and equity investors. These conflicts arise when there is a risk of default. The risk of default may create what Myers (1977) referred to as an“underinvestment”or “debt overhang”problem. In this case, debt will have a negative effect on the value of the firm. Building on Myers (1977) and Jensen (1986), Stulz (1990) develops a model in which debt financing is shown to mitigate overinvestment problems but aggravate the underinvestment problem. The model predicts that debt can have both a positive and a negative effect on firm performance and presumably both effects are present in all firms. We allow for the presence of both effects in the empirical specification of the agency cost model. However we expect the impact of leverage to be negative overall. We summarize this in terms of our first testable hypothesis. According to the agency cost hypothesis (H1) higher leverage is expected to lower agency costs, reduce inefficiency and thereby lead to an improvement in firm’s performance.Reverse causality from firm performance to capital structure But firm performance may also affect the choice of capital structure. Berger and Bonaccorsi di Patti (2006) stipulate that more efficient firms are more likely to earn a higher return for a given capital structure, and that higher returns can act as a buffer against portfolio risk so that more efficient firms are in a better position to substitute equity for debt in their capital structure. Hence under the efficiency-risk hypothesis (H2), more efficient firms choose higher leverage ratios because higher efficiency is expected to lower the costs of bankruptcy and financial distress. In essence, the efficiency-risk hypothesis is a spin-off of the trade-off theory of capital structure whereby differences in efficiency, all else equal, enable firms to fine tune their optimal capital structure.It is also possible that firms which expect to sustain high efficiency rates into the future will choose lower debt to equity ratios in an attempt to guard the economic rents or franchise value generated by these efficiencies from the threat of liquidation (see Demsetz, 1973; Berger and Bonaccorsi di Patti, 2006). Thus in addition to a equity for debt substitution effect, the relationship between efficiency and capital structure may also be characterized by the presence of an income effect. Under the franchise-value hypothesis (H2a) more efficient firms tend to hold extra equity capital and therefore, all else equal, choose lower leverage ratios to protect their future income or franchise value.Thus the efficiency-risk hypothesis (H2) and the franchise-value hypothesis (H2a) yield opposite predictions regarding the likely effects of firm efficiency on the choice of capital structure. Although we cannot identify the separate substitution andincome effects our empirical analysis is able to determine which effect dominates the other across the spectrum of different capital structure choices.Ownership structure and the agency costs of debt and equity.The relationship between ownership structure and firm performance dates back to Berle andMeans (1932) who argued that widely held corporations in the US, in which ownership of capital is dispersed among small shareholders and control is concentrated in the hands of insiders tend to underperform. Following from this, Jensen and Meckling (1976) develop more formally the classical owner-manager agency problem. They advocate that managerial share-ownership may reduce managerial incentives to consume perquisites, expropriate shareholders’wealth or to engage in other sub-optimal activities and thus helps in aligning the interests of managers and shareholders which in turn lowers agency costs. Along similar lines, Shleifer and Vishny (1986) show that large external equity holders can mitigate agency conflicts because of their strong incentives to monitor and discipline management.In contrast Demsetz (1983) and Fama and Jensen (1983) point out that a rise in insider share-ownership stakes may also be associated with adverse ‘entrenchment’effects tha t can lead to an increase in managerial opportunism at the expense of outside investors. Whether firm value would be maximized in the presence of large controlling shareholders depends on the entrenchment effect (Claessens et al., 2002; Villalonga and Amit, 2006; Dow and McGuire, 2009). Several studies document either a direct (e.g., Shleifer and Vishny, 1986; Claessens et al., 2002; Hu and Zhou, 2008) or a non-monotonic (e.g., Morck et al., 1988;McConnell and Servaes, 1995; Davies et al., 2005) relationship between ownership structure and firm performance while others (e.g., Demsetz and Lehn, 1985; Himmelberg et al., 1999; Demsetz and Villalonga, 2001) find no relation between ownership concentration and firm performance.Family firms are a special class of large shareholders with unique incentive structures. For example, concerns over family and business reputation and firm survival would tend to mitigate the agency costs of outside debt and outside equity (Demsetz and Lehn, 1985; Anderson et al., 2003) although controlling family shareholders may still expropriate minority shareholders (Claessens et al., 2002; Villalonga and Amit, 2006). Several studies (e.g., Anderson and Reeb, 2003a; Villalonga and Amit, 2006; Maury, 2006; King and Santor, 2008) report that family firms especially those with large personal owners tend to outperform non-family firms. In addition, the empirical findings of Maury (2006) suggest that large controlling family ownership in Western Europe appears to benefit rather than harm minority shareholders. Thus we expect that the net effect of family ownership on firm performance will be positive.Large institutional investors may not, on the other hand, have incentives to monitor management (Villalonga and Amit, 2006) and they may even coerce with management (McConnell and Servaes, 1990; Claessens et al., 2002; Cornett et al., 2007). In addition, Shleifer and Vishny (1986) and La Porta et al. (2002) argue that equity concentration is more likely to have a positive effect on firm performance in situations where control by large equity holders may act as a substitute for legal protection in countries with weak investor protection and less developed capital markets where they also classify Continental Europe.We summarize the contrasting ownership effects of incentive alignment and entrenchment on firm performance in terms of two competing hypotheses. Under the ‘convergence-of-interest hypothesis’(H3) more concentrated ownership should have a positive effect on firm performance. And under the ownership entrenchment hypothesis (H3a) the effect of ownership concentration on firm performance is expected to be negative.The presence of ownership entrenchment and incentive alignment effects also has implications for the firm’s capital structure choice. We assess these effects empirically. As external blockholders have strong incentives to reduce managerial opportunism they may prefer to use debtas a governance mechanism to control management’s consumption of perquisites (Grossman and Hart, 1982). In that case firms with large external blockholdings are likely to have higher debt ratios at least up to the point where the risk of bankruptcy may induce them to lower debt. Family firms may also use higher debt levels to the extent that they are perceived to be less risky by debtholders (Anderson et al., 2003). On the other hand the relation between leverage and insider share-ownership may be negative in situations where managerial blockholders choose lower debt to protect their non-diversifiable human capital and wealth invested in the firm (Friend and Lang, 1988). Brailsford et al. (2002) report a non-linear relationship between managerial share-ownership and leverage. At low levels of managerial ownership, agency conflicts necessitate the use of more debt but as managers become entrenched at high levels of managerial ownership they seek to reduce their risks and they use less debt. Anderson and Reeb (2003) find that insider ownership by managers or families has no effect on leveragewhile King and Santor (2008) report that both family firms and firms controlled by financial institutions carry more debt in their capital structure.外文翻译:资本结构、股权结构与公司绩效摘要:本文通过对法国制造业公司的抽样调查,研究资本结构、所有权结构和公司绩效的关系。
资本结构与企业绩效【外文翻译】
外文翻译Capital Structure and Firm Performance Material Source: Board of Governors of the Federal Reserve SystemAuthor: Allen N. BergerAgency costs represent important problems in corporate governance in both financial and nonfinancial industries. The separation of ownership and control in a professionally managed firm may result in managers exerting insufficient work effort, indulging in perquisites, choosing inputs or outputs that suit their own preferences, or otherwise failing to maximize firm value. In effect, the agency costs of outside ownership equal the lost value from professional managers maximizing their own utility, rather than the value of the firm.Theory suggests that the choice of capital structure may help mitigate these agency costs. Under the agency costs hypothesis, high leverage or a low equity/asset ratio reduces the agency costs of outside equity and increases firm value by constraining or encouraging managers to act more in the interests of shareholders. Since the seminal paper by Jensen and Meckling (1976), a vast literature on such agency-theoretic explanations of capital structure has developed (see Harris and Raviv 1991 and Myers 2001 for reviews). Greater financial leverage may affect managers and reduce agency costs through the threat of liquidation, which causes personal losses to managers of salaries, reputation, perquisites, etc. (e.g., Grossman and Hart 1982, Williams 1987), and through pressure to generate cash flow to pay interest expenses (e.g., Jensen 1986). Higher leverage can mitigate conflicts between shareholders and managers concerning the choice of investment (e.g., Myers 1977), the amount of risk to undertake (e.g., Jensen and Meckling 1976, Williams 1987), the conditions under which the firm is liquidated (e.g., Harris and Raviv 1990), and dividend policy (e.g., Stulz 1990).A testable prediction of this class of models is that increasing the leverage ratio should result in lower agency costs of outside equity and improved firm performance, all else held equal. However, when leverage becomes relatively high, further increases generate significant agency costs of outside debt – including higher expected costs of bankruptcy or financial distress – arising from conflicts between bondholders and shareholders.1 Because it is difficult to distinguish empiricallybetween the two sources of agency costs, we follow the literature and allow the relationship between total agency costs and leverage to be non-monotonic.Despite the importance of this theory, there is at best mixed empirical evidence in the extant literature (see Harris and Raviv 1991, Titman 2000, and Myers 2001 for reviews). Tests of the agency costs hypothesis typically regress measures of firm performance on the equity capital ratio or other indicator of leverage plus some control variables. At least three problems appear in the prior studies that we address in our application.First, the measures of firm performance are usually ratios fashioned from financial statements or stock market prices, such as industry-adjusted operating margins or stock market returns. These measures do not net out the effects of differences in exogenous market factors that affect firm value, but are beyond management’s control and therefore cannot reflect agency costs. Thus, the tests may be confounded by factors that are unrelated to agency costs. As well, these studies generally do not set a separate benchmark for each firm’s performance that would be realized if agency costs were minimized.We address the measurement problem by using profit efficiency as our indicator of firm performance. The link between productive efficiency and agency costs was first suggested by Stigler (1976), and profit efficiency represents a refinement of the efficiency concept developed since that time.2 Profit efficiency evaluates how close a firm is to earning the profit that a best-practice firm would earn facing the same exogenous conditions. This has the benefit of controlling for factors outside the control of management that are not part of agency costs. In contrast, comparisons of standard financial ratios, stock market returns, and similar measures typically do not control for these exogenous factors. Even when the measures used in the literature are industry adjusted, they may not account for important differences across firms within an industry –such as local market conditions – as we are able to do with profit efficiency. In addition, the performance of a best-practice firm under the same exogenous conditions is a reasonable benchmark for how the firm would be expected to perform if agency costs were minimized.Second, the prior research generally does not take into account the possibility of reverse causation from performance to capital structure. If firm performance affects the choice of capital structure, then failure to take this reverse causality into account may result in simultaneous-equations bias. That is, regressions of firmperformance on a measure of leverage may confound the effects of capital structure on performance with the effects of performance on capital structure.We address this problem by allowing for reverse causality from performance to capital structure. We discuss below two hypotheses for why firm performance may affect the choice of capital structure, the efficiency-risk hypothesis and the franchise-value hypothesis. We construct a two-equation structural model and estimate it using two-stage least squares (2SLS). An equation specifying profit efficiency as a function of the firm’s equity capital ratio and other variables is use d to test the agency costs hypothesis, and an equation specifying the equity capital ratio as a function of the firm’s profit efficiency and other variables is used to test the net effects of the efficiency-risk and franchise-value hypotheses. Both equations are econometrically identified through exclusion restrictions that are consistent with the theories.Third, some, but not all of the prior studies did not take ownership structure into account. Under virtually any theory of agency costs, ownership structure is important, since it is the separation of ownership and control that creates agency costs (e.g., Barnea, Haugen, and Senbet 1985). Greater insider shares may reduce agency costs, although the effect may be reversed at very high levels of insider holdings (e.g., Morck, Shleifer, and Vishny 1988). As well, outside block ownership or institutional holdings tend to mitigate agency costs by creating a relatively efficient monitor of the managers (e.g., Shleifer and Vishny 1986). Exclusion of the ownership variables may bias the test results because the ownership variables may be correlated with the dependent variable in the agency cost equation (performance) and with the key exogenous variable (leverage) through the reverse causality hypotheses noted above.To address this third problem, we include ownership structure variables in the agency cost equation explaining profit efficiency. We include insider ownership, outside block holdings, and institutional holdings.Our application to data from the banking industry is advantageous because of the abundance of quality data available on firms in this industry. In particular, we have detailed financial data for a large number of firms producing comparable products with similar technologies, and information on market prices and other exogenous conditions in the local markets in which they operate. In addition, some studies in this literature find evidence of the link between the efficiency of firms and variables that are recognized to affect agency costs, including leverage andownership structure (see Berger and Mester 1997 for a review).Although banking is a regulated industry, banks are subject to the same type of agency costs and other influences on behavior as other industries. The banks in the sample are subject to essentially equal regulatory constraints, and we focus on differences across banks, not between banks and other firms. Most banks are well above the regulatory capital minimums, and our results are based primarily on differences at the margin, rather than the effects of regulation. Our test of the agency costs hypothesis using data from one industry may be built upon to test a number of corporate finance hypotheses using information on virtually any industry.We test the agency costs hypothesis of corporate finance, under which high leverage reduces the agency costs of outside equity and increases firm value by constraining or encouraging managers to act more in the interests of shareholders. Our use of profit efficiency as an indicator of firm performance to measure agency costs, our specification of a two-equation structural model that takes into account reverse causality from firm performance to capital structure, and our inclusion of measures of ownership structure address problems in the extant empirical literature that may help explain why prior empirical results have been mixed. Our application to the banking industry is advantageous because of the detailed data available on a large number of comparable firms and the exogenous conditions in their local markets. Although banks are regulated, we focus on differences across banks that are driven by corporate governance issues, rather than any differences in-regulation, given that all banks are subject to essentially the same regulatory framework and most banks are well above the regulatory capital minimums.Our findings are consistent with the agency costs hypothesis – higher leverage or a lower equity capital ratio is associated with higher profit efficiency, all else equal. The effect is economically significant as well as statistically significant. An increase in leverage as represented by a 1 percentage point decrease in the equity capital ratio yields a predicted increase in profit efficiency of about 6 percentage points, or a gain of about 10% in actual profits at the sample mean. This result is robust to a number of specification changes, including different measures of performance (standard profit efficiency, alternative profit efficiency, and return on equity), different econometric techniques (two-stage least squares and OLS), different efficiency measurement methods (distribution-free and fixed-effects), different samples (the “ownership sample” of banks with detailed ownership data and the “full sample” of banks), and the different sample periods (1990s and 1980s).However, the data are not consistent with the prediction that the relationship between performance and leverage may be reversed when leverage is very high due to the agency costs of outside debt.We also find that profit efficiency is responsive to the ownership structure of the firm, consistent with agency theory and our argument that profit efficiency embeds agency costs. The data suggest that large institutional holders have favorable monitoring effects that reduce agency costs, although large individual investors do not. As well, the data are consistent with a non-monotonic relationship between performance and insider ownership, similar to findings in the literature.With respect to the reverse causality from efficiency to capital structure, we offer two competing hypotheses with opposite predictions, and we interpret our tests as determining which hypothesis empirically dominates the other. Under the efficiency-risk hypothesis, the expected high earnings from greater profit efficiency substitute for equity capital in protecting the firm from the expected costs of bankruptcy or financial distress, whereas under the franchise-value hypothesis, firms try to protect the expected income stream from high profit efficiency by holding additional equity capital. Neither hypothesis dominates the other for the ownership sample, but the substitution effect of the efficiency-risk hypothesis dominates for the full sample, suggesting a difference in behavior for the small banks that comprise most of the full sample.The approach developed in this paper can be built upon to test the agency costs hypothesis or other corporate finance hypotheses using data from virtually any industry. Future research could extend the analysis to cover other dimensions of capital structure. Agency theory suggests complex relationships between agency costs and different types of securities. We have analyzed only one dimension of capital structure, the equity capital ratio. Future research could consider other dimensions, such as the use of subordinated notes and debentures, or other individual debt or equity instruments.译文资本结构与企业绩效资料来源: 联邦储备系统理事会作者:Allen N. Berger 在财务和非财务行业,代理成本在公司治理中都是重要的问题。
公司股权结构与公司绩效:数据来自希腊公司【外文翻译】
外文翻译原文Corporate Ownership Structure and Firm Performance: evidence from Greek firmsMaterial Source:Author:Panayotis Kapopoulos and Sophia LazaretouThe Berle-Means (1932) thesis implies that diffuse ownership adversely affects firm performance.We test this hypothesis by assessing the impact of the structure of ownership on profitability, taking into account the endogeneity of ownership structure and modelling separately inside and outside ownership.Table 3 presents the result s from the model estimation using Tobin’s Q as a firm performance measure when managerial ownership is taken into account. It uses the total sample size (175 firms) and compares OLS estimates to 2SLS estimates. Table 4 uses the smaller firm sample size (163 firms) excluding utilities and financial institutions. Focusing on OLS estimates for the profitability equation, we note that profitability is always statistically dependent on at least one measure of ownership structure. The regression coefficient of the fraction of shares owned by important outside investors takes a positive sign and is statistically significant. This implies that outside investor shareholdings affect Tobin’s Q ratio positively. This finding is consistent with what one would expect: greater ownership concentration by outside investors may lead to superior performance. The second measure of ownership concentration, namely the fraction of shares owned by management, also has a positive effect on performance, although the coefficient is statistically significant at much lower levels of significance (10 per cent or 15 per cent). This result is consistent with the finding that the simple correlation coefficient between the two ownership variables is 0.54. Moreover, the results shown in the tables for the 2SLS estimates confirm the finding for the effect of ownership concentration on profitability. The coefficients of both ownership variables, important SH and managerial SH, have the correct positive sign and are statistically significant either at a much higher (1 per cent) or a lower (10 per cent) level of significance.Another finding shown in Tables 3 and 4 is the negative effect of thedebt-to-assets ratio on profitability. In all OLS and 2SLS estimates,leverage negatively affects profitability. The distribution-to-sales ratio is positive, as expected, but strongly insignificant. Market concentration consistently has a positive effect on profitability. The coefficient of the CR4 concentration index takes a positive sign and is sometimes statistically significant at the 10 per cent level or better. However, when we adopt a Herfindahl indicator, our data do not support this finding. The coefficient, even though it has the correct sign, is everywhere insignificant. The picture is reversed when we estimate equation (1) with 2SLS. Nevertheless, the data do not seem to support the usual finding of industrial organisation studies that profitability is partly driven by industry concentration.One might expect that high profitability leads management to acquire more shares and, therefore, causes managerial shareholdings to be greater. OLS estimates show that Tobin’s Q is empirically significant in explaining the variation in the structure of corporate ownership. In all regressions (of either sample size), the coefficient of Tobin’s Q is positive and significant at a high level of significance. However, the results for the 2SLS equation estimates of the Tobin’s Q cast doubt on this result. The 2SLS estimates are positive but hardly significant (lower than 15 per cent).As Demsetz and Lehn (1985) have shown, the ownership structure of the media industry is more concentrated than that of industries concerning manufacturing, utility and financial firms. We find that the dummy variable Media is positive and significant at 5 per cent (OLS estimate) or 10 per cent (2SLS estimate). In the profitability equation it enters negatively, but it is insignificant. The positive coefficient on media industry suggests that, ceteris paribus, ownership is more concentrated in media firms with non-profit maximising goals relative to firms operating in other industries. In other words, the utility (U) and financial (F) dummies isolate the impact of “systematic regulation”. As shown in the tables, the OLS estimates for U and F dummies have the expected negative sign and are sometimes significant. These findings, however, are not confirmed by 2SLS estimates.Finally, OLS and 2SLS estimates suggest that size does not seem to be able to explain variations in ownership structure. Using the total firm sample size, the coefficient on firm size, as measured by the book value of total assets, is negative as expected, but insignificant. However, the picture changes when we exclude utilities and financial institutions; firm size becomes significant.So far, we have treated only the fraction of shares owned by management as the endogenous component of corporate ownership structure. Equations (1) and (2) are estimated treating important outside investors’ shareholdings as the endogenous variable in equation (2). Tables 5 and 6 report the OLS and 2SLS estimates. As shown, both measures of ownership structure explain variations in Tobin’s Q. However, as OLS and 2SLS estimates reveal, the coefficient of Tobin’s Q is more strongly statistically significant in the ownership structure equation, implying that firm performance as measured by Tobin’s Q has a stronger effect on the fraction of shares owned by important outside investors than it does on managerial shareholdings. Therefore, as the findings suggest, important SH is likely to be more strongly endogenous.The low value of the simple correlation coefficient between Tobin’s Q and the accounting profit rate (0.157) suggests that we cannot consider the two measures of performance to be redundant. Therefore, we can re-estimate equations (1) and (2) using the accounting rate of return as an alternative measure of firm performance in place of Tobin’s Q.We note that the coefficients that link ownership variables to firm profitability are weaker compared with the estimates obtained using Tobin’s Q. Specifically, important shareholdings continue to have a positive and significant (although at a lower than 10 per cent level) effect on profit rate, whereas managerial shareholdings are everywhere insignificant. Moreover, in all estimates of the ownership structure equation (of either sample size), the profit rate positively and significantly affects managerial shareholdings. Overall, the results provide no reason to alter considerably the conclusions we reach concerning theownership–performance relationship.This paper brings together various aspects of corporate finance and firm performance and examines whether variations across firms in observed ownership structures result in systematic variations in observed firm performance in the context of a small European capital market. We test this hypothesis by assessing the impact of the structure of ownership on performance using data for 175 Greek listed firms. We use two measures of performance –namely, Tobin’s Q and the accounting profit rate –and consider two measures of ownership –namely, the fraction of shares owned by management and the fraction of shares owned by important investors. The paper is primarily motivated by a lack of evidence regarding the relationship between ownership structure and firm performance in Greek firms. Moreover, ownership is modelled as multi-dimensional and endogenously determined.Empirical findings indicate that there exists a linear positive relationship between profitability and ownership structure. Both measures of ownership, managerial shareholdings and important shareholdings, positively influence Tobin’s Q.The results suggest that the greater the degree to which shares are concentrated in the hands of outside or inside shareholders, the more effectively management behaviour is monitored and disciplined, thus resulting in better performance. The results from our study also yield evidence for the endogeneity of ownership structure. We find that profitability is a positive predictor of ownership structure measures, suggesting that the coefficient of a single equation model on the ownership–profitability relationship is biased because of its failure to take into account the complexity of interests involved in an ownership structure. On the one side, Greek data reveal a significant positive impact of ownership structure on profitability. On the other side, there exists evidence that superior firm performance leads to an increase in the value of stock options owned by management or large shareholders, which if exercised, would increase their share ownership.We also find that profitability is negatively related to the debt-to-assets ratio. This evidence reveals the existence of reducing effects of the differences between the interest obligations incurred when borrowing took place and the interest rates that prevailed during the ample period. The statistical insignificance of the relationship between profitability and distribution-to-sales ratio indicates that our model fails to expl ain differences in measurements of Tobin’s Q that are caused by accounting artefacts. Lastly, we find that profitability is positively related to market concentration (measured by CR4 concentration ratio). This can be considered either as the result of scale economies in most of the sectors of our sample or as a consequence of the fact that larger firms in markets with oligopoly structure are able to exercise market power. However, when we use the Herfindahl index as a proxy for the degree of concentration, we cannot detect a strongly significant relationship with firm performance.A striking evidence of our empirical analysis is the significant positive relationship found between media dummy and ownership structure. This result, in conjunction with the finding that the media dummy enters negatively the profitability equation (even though it is insignificant), means that firms in the media industry with high “amenity potential” could not be used to produce these non-profit amenities if they were more diffused. This result might explain the recent attemptsof the Greek government to reform the corporate governance legislation so as to forbid concentration of a share above 1 per cent in the hands of the same shareholder. This legal reform aims at excluding chiefly those that undertake the construction of public works from a strict management control of media firms so as to reduce corruption incentives.A caveat is in order. As we have already mentioned, the Athens Stock Exchange reports only the percentage of shares that is either equal or larger than 5 per cent of outstanding shares. According to the current institutional framework, firms do not have the legal obligation to announce changes in voting rights for those owners with a share below 5 per cent. Consequently, the lack of data for equity owners with a share below 5 percent imposes a constraint on our empirical analysis. It causes a discontinuity in the observations used in the construction of the ownership structure variable. A more rigorous definition of that variable would take into account the fraction of shares owned by a firm’s shareholders or management, each of whom owns at least 1 per cent of outstanding shares.Suggestions for further research include the development and estimation of a generalised non-linear model specification. Some authors (Morck et al., 1988; Welch, 2003) have estimated the relationship between managerial share ownership and profitability in the context of a non-linear single equation model. However, they do not control for the possible endogeneity of a firm’s ownership structure. It might be interesting to address the issue of a non-monotonic relationship by developing a non-linear equation model taking into account both endogeneity and non-linearity. Further,the data sample used in this study covers a relatively large number of Greek listed firms for the year 2000. One would expect to calculate the variables for a longer period of two or five years so as to avoid the impact of the business cycle. Data availability is a serious constraint in our analysis. The Athens Stock Exchange started to publish information concerning the changes in voting rights only from 2000. Therefore, it might be informative to replicate the estimates using panel data for some years after 2000. In this case, however, the firm sample would change and the results might not be comparable. Also, firm coverage would be limited, since we require a minimum of a three-year presence for each firm in the sample.译文公司股权结构与公司绩效:数据来自希腊公司资料来源: 作者:Panayotis Kapopoulos and Sophia Lazaretou在Berle 和Means(1932)的论文中提出所有权对企业的绩效产生不利影响。
资本结构与绩效外文翻译
资本结构与公司绩效:来自约旦的证据最优资本结构的主题一直是许多研究的主题。
有人认为,高盈利的公司不一定比低盈利的公司拥有更高的负债比率。
也有人认为,具有高增长率的企业有较高的债务权益比率。
破产成本(代理公司规模)也被认为是一个重要的影响资本结构因素(Kraus and Litzenberger, 1973; Harris and Raviv, 1991)。
如果这三个因素被认为是资本结构的决定因素,那么这些因素可以用来确定公司绩效。
在实践中,企业经理人都能够找出最佳的资本结构,减少一家公司的融资成本,从而最大限度地提高公司的收入回报。
如果一个公司的资本结构影响公司业绩,那么它是合理的预期,该公司的资本结构会影响公司的健康和其违约的可能性。
从债权人的角度看,它是可能的,银行的债务权益比艾滋病在了解银行的风险管理策略,以及如何确定违约的可能性,陷入财务困境的企业。
总之,对于学者和从业人员来说,资本结构和公司业绩的问题是重要的。
当前文件的目的是研究资本结构对公司业绩在约旦的效果。
有一个缺乏有关资本结构的影响表现在发达国家和发展中国家的企业的经验证据。
在资本结构上以前的证据大多来自企业资产负债率的决定因素。
据作者所知,这项研究提供了第一次尝试探讨约旦的资本结构对公司绩效。
我们之所以选择约旦为例,这一主题是其独特性,我们在下面讨论。
首先,我们的研究期间约旦的经济一直受到中东地区的大量外部冲击。
在1990-1991年爆发了第一次海湾战争。
同时由于这场战争,移民工人和难民回归,增加了在约旦的贫困和失业水平。
例如,在那段时间(世界银行,2003),超过30万人从海湾国家返回约旦。
此外,在约旦河西岸和加沙地带发生的持续不断的冲突,和2003年的第二次海湾战争对约旦的旅游和投资的产生了负面影响。
此外,约旦受到于2000年9月开始的巴勒斯坦起义1的严重影响。
巴勒斯坦起义对大部分出口到这些邻国的约旦公司的公司业绩产生负面影响。
股权结构与公司业绩外文翻译(可编辑)
股权结构与公司业绩外文翻译外文翻译Ownership Structure and Firm Performance: Evidence from IsraelMaterial Source: Journal of Management and Governance Author: Beni Lauterbach and Alexander Vaninsky1.IntroductionFor many years and in many economies, most of the business activity was conducted by proprietorships, partnerships or closed corporations. In these forms of business organization, a small and closely related group of individuals belonging to the same family or cooperating in business for lengthy periods runs the firm and shares its profits.However, over the recent century, a new form of business organization flourished as non-concentrated-ownership corporations emerged. The modern diverse ownership corporation has broken the link between the ownership and active management of the firm. Modern corporations are run by professional managers who typically own only a very small fraction of the shares. In addition, ownership is disperse, that is the corporation is owned by and its profits are distributed among many stockholders.The advantages of the modern corporation are numerous. It relievesfinancing problems, which enables the firm to assume larger-scale operations and utilize economies of scale. It also facilitates complex-operations allowing the most skilled or expert managers to control business even when they the professional mangers do not have enough funds to own the firm. Modern corporations raise money sell common stocks in the capital markets and assign it to the productive activities of professional managers. This is why it is plausible to hypothesize that the modern diverse-ownership corporations perform better than the traditional “closely held” business forms.Moderating factors exist. For example, closely held firms may issue minority shares to raise capital and expand operations. More importantly, modern corporations face a severe new problem called the agency problem: there is a chance that the professional mangers governing the daily operations of the firm would take actions against the best interests of the shareholders. This agency problem stems from the separation of ownership and control in the modern corporation, and it troubled many economists before e.g., Berle and Means, 1932; Jensen andMeckling, 1976; Fama and Jensen 1983. The conclusion was that there needs to exist a monitoring system or contract, aligning the manager interests and actions with the wealth and welfare of the owners stockholdersAgency-type problems exist also in closely held firms becausethere are always only a few decision makers. However, given the personal ties between the owners and mangers in these firms, and given the much closer monitoring, agency problems in closely held firms seem in general less severe.The presence of agency problems weakens the central thesis that modern open ownership corporations are more efficient. It is possible that in some business sectors the costs of monitoring and bonding the manager would be excessive. It is also probable that in some cases the advantages of large-scale operations and professional management would be minor and insufficient to outweigh the expected agency costs. Nevertheless, given the historical trend towards diverse ownership corporations, we maintain the hypothesis that diverse-ownership firms perform better than closely held firms. In our view, the trend towards diverse ownership corporations is rational and can be explained by performance gains.2. Ownership Structure and Firm PerformanceOne of the most important trademarks of the modern corporation is the separation of ownership and control. Modern corporations are typically run by professional executives who own only a small fraction of the shares.There is an ongoing debate in the literature on the impact and merit of the separation of ownership and control. Early theorists such as Williamson 1964 propose that non-owner managers prefer their owninterests over that of the shareholders. Consequently, non-owner managed firms become less efficient than owner-managed firms.The more recent literature reexamines this issue and prediction. It points out the existence of mechanisms that moderate the prospects of non-optimal and selfish behavior by the manager. Fama 1980, for example, argues that the availability and competition in the managerial labor markets reduce the prospects that managers would act irresponsibly. In addition, the presence of outside directors on the board constrains management behavior. Others, like Murphy 1985, suggest that executive compensation packages help align management interests with those of the shareholders by generating a link between management pay and firm performanceHence, non-owner manager firms are not less efficient than owner-managed firms. Most interestingly, Demsetz and Lehn 1985 conclude that the structure of ownership varies in ways that are consistent with value imization. That is, diverse ownership and non-owner managed firms emerge when they are more worthwhile.The empirical evidence on the issue is mixed see Short 1994 for a summaryPart of the diverse results can be attributed to the difference across the studies in the criteria for differentiation between owner and non-owner manager controlled firms. These criteria, typically based on percentage ownership by large stockholders, are less innocuous and more problematic than initially believed because, as demonstrated by Morck,Shleifer and Vishny 1988 and McConnell and Servaes 1990, the relation between percentage ownership and firm performance is nonlinear. Further, percent ownership appears insufficient for describing the control structure. Two firms with identical overall percentage ownership by large blockholders are likely to have different control organizations, depending on the identity of the large stockholders.In this study, we utilize the ownership classification scheme proposed by Ang, Hauser and Lauterbach 1997. This scheme distinguishes between non-owner managed firms, firms controlled by concerns, firms controlled by a family, and firms controlled by a group of individuals partners. Obviously, the control structure in each of these firm types is different. Thus, some new perspectives on the relation between ownership structure and firm performance might emerge.3. DataWe employ data from a developing economy, Israel, where many forms of business organization coexist. The sample includes 280 public companies traded on the Tel-Aviv Stock Exchange TASE during 1994. For each company we collect data on the 1992?1994 net income profits after tax, 1994 total assets, 1994 equity, 1994 top management remuneration, and 1994 ownership structure. All data is extracted from the companies financial reports except for the classification of firms according to their ownership structure, which is based on the publica tions, “Holdings ofInterested Parties” issued by the Israel Securities Authority, “Meitav Stock Guide,” and “Globes Stock Exchange Yearbook”.The initial sample included all firms traded on the TASE about 560 at the time. However, sample size shrunk by half because: 1 according to the Israeli Security Authority the Israeli counterpart of the US SEC only 434 companies provided reliable compensation reports; 2 147 companies have a negative 1992?94 average net income, which makes them unsuitable for the methodology we employ; and 3 for 7 firms we could not determine the ownership structure.The companies in the sample represent a rich variety of ownership structures, as illustrated in Figure 1. Nine percent of the firms do not have any majority owner. Among majority owned firms, individuals family firms or partnerships of individuals own 72% and the rest are controlled by concerns. About half 49% of the individually-controlled firms are dominated by a partnership of individuals and the rest 51% are dominated by families. Professional non-owner CEOs are found in about 15% of the individually controlled firms.4. Methodology: Data Envelopment AnalysisIn this study, we measure relative performance using Data Envelopment Analysis DEA. Data Envelopment Analysis is currently a leading methodology in Operations Research for performance evaluations see Seiford and Thrall, 1990, and previous versions of it have been usedin Finance by Elyasiani andMehdian, 1992, for example.The main advantage of Data Envelopment Analysis is that it is a parameter-free approach. For each analyzed firm, DEA constructs a “twin” comparable virtual firm consisting of a portfolio of other sample firms. Then, the relative performance of the firm can be determined. Other quantitative techniques such as regression analysis are parametric, that is it estimates a “production function” and assesses each firm performance according to its residual relative to the fitted fixed parameters economy-wide production function. We are not claiming that parametric methods are inadequate. Rather, we attempt a different and perhaps more flexible methodology, and compare its results to the standard regression methodology Findings.The equity ratio variable represents expectation that given the firm size, the higher the investments of stockholders equity, the higher their return net income. Finally, the CEO and top management compensation variables are controlling for the managers’ input. One of our central points is that top managers’ actions and skills affect firm output. Hence, higher pay mangers who presumably are also higher-skill are expected to yield superior profits. Rosen 1982 relates executives’ pay and rank in the organization to their skills and abilities, and Murphy 1998 discusses in de tail the structure of executive pay and its relation to firm’s performance.The DEA analysis and the empirical estimation of the relative performance of different organizational forms are repeated in four separate subsets of firms: Investment companies, Industrial companies, Real-estate companies, and Trade and services companies. This sector analysis controls for the special business environment of the firms and facilitates further examination of the net effect of ownership structure on firm performance.5.Empirical Results The main results of the empirical findings reviewed above are that majority Control by a few individuals diminishes firm performance, and that professional non-owner managers promote performance. The conclusions about individual control and professional management are reinforced by two other findings. First, it appears that firms without professional managers and firms controlled by individuals are more likely to exhibit negative net income.Second, Table IV also presents results of regressions of net income, NET INC, on leverage, size, professional manager dummy, and individual control dummy.6. ConclusionsThe empirical analysis of 280 firms in Israel reveals that ownership structure impacts firm performance, where performance is estimated as the actual net income of the firm divided by the optimal net income given the firm’s inputs. We find that:Out of all organizational forms, family owner-managed firms appearleast efficient in generating profits. When all firms are considered, only family firms with owner managers have an average performance score of less than 30%, and when performance is measured relative to the business sector, only family firms with owner-managers have an average score of less than 50%.2Non-owner managed firms perform better than owner-managed firms. These findings suggest that the modern form of business organization, namely the open corporation with disperse ownership and non-owner managers, promotes performance Critical readers may wonder how come “efficient” and “less-efficient” organizational structures coexist. The answer is that we probably do not document a long-term equilibrium situation. The lower-performing family and partnership controlled firms are likely, as time progresses, to transform into public-controlled non-majority owned corporations.A few reservations are in order. First, we do not contend that every company would gain by transforming into a disperse ownership public firm. For example, it is clear that start-up companies are usually better off when they are closely held. Second, there remain questions about the methodology and its application Data Envelopment Analysis is not standard in Finance. Last, we did not show directly that transforming into a disperse ownership public firm improves performances. Future research should further explore any performance gains from the separation ofownership and control.译文股权结构与公司业绩资料来源:管理治理杂志作者:贝尼?劳特巴赫和亚历山大?范尼斯基多年来,在许多经济体中的大多数商业活动是由独资企业、合伙企业或者非公开企业操作管理的。
企业绩效管理外文文献翻译译文
外文文献翻译译文一、外文原文CorporatePerformanceManagementAbstractTwo of the most important duties of a chief executive officer are (1) toformulates t rat egy and(2)tomanage h i s c ompany’s p er f orm ance.Inthisa r ticlewe e xaminethe second of these tasks and discuss how corporate performance should be modeledand managed.Webeginbyconsideringtheenvironmentin whichacompanyoperates,which includes, besides outside stakeholders, the industry it belongs and the marketit supplies, and then proceed to explain how the functioning of a company can beu nder s t ood by a nex a m i nationof i ts bus i n ess,o per a ti ona landperform a nce managementmod els.Nextwedescribethestructurerecommendedby theauthorsforacorporateplanning,controlandevaluationsystem,themostimportantpartofa corp orate performance management system. The core component of theplanningsystem is the corporate performance evaluation model, the structure of which ism apped i nt o the pl anning sys t em’s da ta b ase,si m ula t ion modelsandbudgeting t ool s’structures, andalsousedtoshapeinformationcontainedinthe system’s products,besidesbeingthenucleusoft helanguageusedbythe system’s agentstotalkabout corporateperformance.Theontologyofplann ing,theguidingprinciplesofcorporate planningandthehistoryof”M ADE”,thecorporateperform ancemanagementsystem di scus s e d inthisarti c le,arere vi ew e dn e xt,before w ep ro cee d todisc us s i nde t ailt h e structural components of the corporate planning and control system introduced before.We conclude the article by listing the main steps which should be followedwhen implementing aperformance planning, control and evaluation system for a company.1.IntroductionTwo of the most important corporate tasks for which a chief executive officeris primarilyresponsibleare(1)toformulatestrategyand(2)tomanagethecompany’s p erf ormance. In thisarticle we examine the second of these tasks and discuss howcorporateperformance should be modeled andmanaged.T operfo r mistoac c ompli s h,t o a chieve(de s i r ed)r e s u ltsoroutc om es.So,whe n talkingabo utcorporateperformance,wearereferringtothedegreebywhichdesired resultsoroutcomesarea chievedbyacompany.Managingcorporateperformance involves planning, controlling, analyzing and evaluating, not only the resultsachieved bythecompany,butalsothemeansbywhichtheseresultsarereached.Amongthe re sults,orgoals,pursuedbymostcompanieswecanmentiongrowth,marketshare,profitabilityan dvaluecreation;andthemeanstoachievetheseresultsincludep roductivi ty,effect i veness,innova t iona nd c ompetiti ve nes s.T hos e a rethe t y p eofthings we should have in mind when specifying a corporate performancemanagement system.Before discussing how to model corporate performance, it is convenienttoconsider the environment in which a company operates, which includes, besides out s i de sta ke holde rs, the indust r y i t be l ongs and the marke t it suppli e s. Themain aspectsofanindustrytobelookedatwhen consideringitsinfluenceoncorporateperformancearestructureandregulation,themaincompetito rs,entrybarriers,substituteproductsand supplier’s negotiatingpower.Associatedquestionsare :How production is organized, vertically or horizontally? How much competitive isthe i ndustry and who are the m a in competitors, t h ose tha t ca pt ure th e l a rges t part oft hemarketshare?Is itunregulated,self-regulatedorregulatedbyagovernmentagency?Howstrongarebarrierstotheentryofnewcompetito rs?Canproductsfromother industries function as substitutes for the ones produced in the industry? Whataboutthe power industry suppliers have when negotiating prices and tradeconditions?At the opposite side of the industry in the corporate environment we havethe marketwherethecompanytradesitsproducts,itsmainattributesbeingsize,growth rate,segmentation,exitbarriersand consumers’negotiating power.Typicalquest ions thatshouldbeaskedwhenassessingitseffectoncorporateperformanceare:Whatis the marketsize,indollars,foreach of the company’s products?Whatarethe short-term and long-term market growth rates? Is it a wholesaleor a retailmarket?Are the sales cyclical? How can the market be segmented (by geography, purchasingpower,customerage,etc.)?Whichbarriersdoesaclientrunintowhenchangings uppli e rs? D o c l ients ha v e t he power t o impose pric e s and t ra de conditions?Wecallthepeoplewhohaveinterestinorareaffectedbya company’s performanceits“stak eholders”,andgroupthemin thecategoriesof“insiders”and“outsiders”.Theinsidersarethe company’s entrepreneursorcontr ollingshareholders and its managers and employees. The outsiders include customers, suppliers, minority shareholders, debt holders, the government in its roles of public goodssupplier,regulatorandtaxcollector,andalsothecommunitieswherethecompany doesbus i ne s s.It isim port ant t onote t hats t a kehol de rs,bes i desbeinga f fecte db y,al s oinfluencecorporateperformanceanditisoftennec essarytosearchfortheeffectsof this influencewhen appraisingperformance.That is meant to increase the depth of this brief analysis of corporatestructureand external relations.Microeconomictheory considers the company as asocial p roductionunittha t uses a certa i ntechnolo g ytop r oducea s eto f outputsfromas e tof inputs.Thefunctionthatmapsi nputquantitiesintomaximumoutputquantities obtainablefromtheinputsiscalledthe“productio n function”or“productionfrontier”.Knowledge of this function is important for measuring the technical efficiency ofaproduction unit, a very significant performance metric. Several techniques existfort hespe c ifi c at i on of pro duc tion funct i ons or fro nt iers, gr oupe d und e r the nam e so f“Data Envelopment Analysis”and“S tochasticFrontier Analysis”.Companies are created by entrepreneurs, the agents that organize andcoordinate production with the help of professional managers. Entrepreneurs play a crucialrolein shaping corporate performance. On oneside, recognized entrepreneurial capacity─and also large contact networks ─are vital for raising the financial capitalnecessary tobuildstructuralorphysicalcapital. On anotherside,the entrepreneurs’reputation and contacts are essential to attract the intellectual capital that, together withthe structural capital, is the foundation of innovation capacity.A business model is a conceptual representation of the way a companydoes business.Itsmaincomponents,are:the company’s valueproposition;thetargetedmarket segments; the distribution, marketing communications, and customerrelationshipchannels;the core competenciesneeded;operating and managementt echnol og ies;t hepar t ner s’ne tw ork;andtherevenue,costand va lue creat i on m ode ls.Understandingthe business modelis the first step to implement acorporate performancemanagementsystem.The modelshould indicate whether the company has a broad customer base or targets specific market segments, and in the secondcase,identifythesesegments.Thegoodsandservicesprovidedbythecompanyandthe com mercial conditions under which they are sold (including such things asguarantees,technicalassistance, etc.), comprise the valueproposition.The channelused forp roductdistr i buti on ca n bea di re c t-t oc ustomer s a l esc ha nnelthroughthe I nte r net,orbe comprised of bricks and mortar companyownedstores, wholesale agents,retail companies,etc.Thecompanycanuseseveralmarketingchannelstogetmessages thro ughtoitscustomers,suchasTVandprintedmedia,andemployacallcentertogive support and receive complaints and suggestions from them. Core competencies ar e t heon e sthecomp an y ne edstomas t erinorde r toga i nac om pet i tivead va nta g ei n relation to other companies in the same marketplace. These competenciesshould restonproperoperationalandmanagementtechnologies,andbe supplemented by a network of partners, if necessary. As a final point, a business model must includea revenue,acostandavaluecreationmodelinordertobeprofitabletothe company’s s hare h old e rs.We can think of the operational model of a companyasencompassinganorganizationalmodel,afunctionalmodelandacorporatedatamodel. The organizationalmodeldepicts,inaninvertedhierarchicaltree,therolesoftheagents involve dinthe company’s operation.Thefunctionalmodelportraysall theactivitiesthattogetherformthewholetowhichwereferbytheexpression“company’s operations”,structuredinlogical,sequentialsteps formingoperationalprocesses.At last, the corporate data model is an entity-relationship diagram that shows themain entitiesaboutwhichthecompanycollectsdatawithitsattributesandtherelationshipsbetw eenthem.Thelastmodelweneedtoexamineinordertounderstandthefunctioningofacorporation is the performance management model it uses, which is, ingeneral,composedoffourbuildingblocks.Thecorporategovernancesystem,thecorporatep e rfo rmanc ep la nnin g,control a nde va lua t ionsyste m,t he individual m anage r sperformance planning, control and evaluation system and the managementvariable compensation system (or bonus system). The corporate governance systemcomprises three well knownactors, the chief executive officer, the directors and theshareholders,andisdesignedtomediatetherelationsbetweenthem.Underthegovernancesyste m,we find two planning and control systems, having as its targets the performance ofthe company(asawholeandofitsdivisions)andtheperformanceofitsindividualm ana g ers,re s p e ct i vely.L i nking t heset w osyste m sw e finda com p ensa t ions y st e mthat assigns fractions of a bonus pool, which is a function of the aggregatecompany performance,toitsmanagersonthebasisoftheirindividualperformances.An e ffective management model should be forward-looking, that is, centered ontheimprovement of future performance, and focused on valuecreation.A thorough understanding o f a ll t he m od e l s des c ribed above is anec e s s ary prerequisiteforone tobeabletoplan,monitor,analyze,evaluateand controlcorporate performance.Inthenextsectionwewillexamineinmoredetailacrucial component of the management model previously described: the corporateperformance planning, control and evaluationsystem.2.The C orporate P erf o rmanc e Planni ng,C ontrolan d Eva l u at io n System.That shows the structure recommended by the authors for acorporateplanning,controlandevaluationsystem,themostimportantpartofacorporateperforma nce management system. The core component of the planning system, as can bededucedfrom its central position in the mentioned figure, is the performance evaluationmodel.Thestructureofthismodelismappedintothe system’s database,simulationm odels and budgeting tools’structures, and also used to shape information contained in the system’s products,besidesbeingthenucleusofthelanguageusedbythe system’s agentstotalkaboutcorporateperformance.Thecorporateplanningand controlprocessisformedbythecoordinatedactionsoftheplanningandcontrolagents,whoseaimist hegenerationofthe system’s outputs,which includeassumptions,goals,forecasts, plans, budgets, investment projects, performance valuations, varianceanalysis,etc.Theseproductstaketheformofpaperandelectronicdocumentsands pread s heets,a nd of PowerPointpresent a t i ons.T he a gents fol lowanagreedupontime schedule and rely on a business intelligence (BI) software to support theiractions.TheBIsoftwareimplementstheperformanceevaluationmodelforthepurposesof rep resenting and simulating corporate performance and provides the necessarytools forthe system’s agentstoproducethe system’soutputs.Datausedbythesystem comes from the accounting and other corporate databases. In the following sectionsof thisarticlewewillexamineindetaileachoftheaforementionedplanningsystemc ompon ents.Before proceeding, however, we will make a pause to discuss the ontologyof planning. One can readily identify in this figure three major structures: the strategic,the motivation and the action frameworks. In the strategic framework, which ischiefly related to the risk versus return dialectics, we can identify theexternal i nf l uence s to corporat e performa n ce, c om pris i ng both opportuni ti es a nd threats, and the internal ones, materialized by strengths and weaknesses. Suppliers and consumersnegotiatingpower,entryandexitbarriers,competitorsandsubstituteproductsarethe ma in determinants of external influences. Technological change has also apervasiveinfluence on corporate performance. Comparing the motivation (ends) andaction(means) fr a meworks, we can as s ociate v a rious levels or l ayers in w hich c or po ra t e aimsaredefinedtothecorrespondingactionclasses,thatis,visiontomission,longtermgo alstostrategy,shorttermgoalstotacticsandactualresultstoactualactions.Policy and business rules are restrictionsunder which strategy and tactics,respectively, must be formulated, and actual action carriedout.It may be convenient, at this point, to give a general definition of theterms“planning”and“control”.Corporateplanningis a processbywhichmanagement define the desired future performance of a corporation, and identify and decide onthe actionsthatneedtobetakeninordertoachievethatperformance.Themainstepscomprisingap lanningcycleareexposed.Corporatecontrol,ontheotherhand,isan operational process which aims to check whether the actual performance isinaccordance with the plannedone, and, eventually, to modify the planned actionsinordertoguaranteethatthefinaldesiredperformancewillbe met. The corporatebudg etisoneo f themostim port antoutputs o fthec orpor atepl a nninga n dcont rol proces s.Itistheprimemanagementtoolusedtoimprovecorporateperformanceand toalignmanageme ntinterests withthoseoftheshareholders.Wecanconcludethis section by stating the nine guiding principles of corporate planning and control:i.Planning is concerned in first place with results and in second placewiththe means to achieve theseresults.ii.Planning is concerned with the present value of costsand benefits to bei ncurred in the f ut u re a s a cons e quence of dec i s i ons undertaken in t he pres e nt.iii.Themainobjectiveofplanningis to createvalueforthe corporation’s shareholders.iv.Fortheabovegoal to bemet,itisnecessarytofulfill customers’expectations concerning quantity, price and quality of marketed products at the least possiblecost,and to m ai nta i n a skilled and full y m otivat ed w or k force.v.Planning and control activities should be organized through a systemwhosecomponents are the planning and control agents, process, time schedule,products,models&tools,anddatabase.vi.Thecorporatebudgetshouldbe the planningandcontrol system’s product t hat consol i dat e s t he r es ul ts w hi ch the company p lans to achi ev e i n the next period and the actions it should undertake in order to meetthem.vii.The corporate budget must contain all the information necessary forthe evaluation of the short term planned performance of the company, itsmarketing,operational, economic, patrimonial and financial aspects being dullyconsidered.viii.The corporate budget should not be viewed exclusively as a means ofcost reductionorcontrol,butmainlyasatooltoenhanceperformanceandincreasethe company’s economicvalue.ix.The planning process in itself is as important as its outputs, andshould contributetoleverage management’s knowledgeabout the company’s i nternal workings, and also to help focus its efforts on the critical areas ofcorporateperformance.S ource: Pedro Góes MonteirodeOliveira STARPLAN ConsultoriaEmpresarial Ltda.,2009.“Corporate Performance Management”.WorkingP aper,vol.41,no.4,pp.1-7..二、翻译文章译文:企业绩效管理摘要行政总裁两个最重要的职责是:制定战略和处理他的公司表现。
Ownership structure and corporate performance【外文翻译】
外文翻译原文Ownership structure and corporate performanceMaterial Source:rlocatereconbaseAuthor :Harold Demsetz,Belen VillalongaAbstractThis paper investigates the relation between the ownership structure and the performance of corporations if ownership is made multi-dimensional and also is treated as an endogenous variable. To our knowledge, no prior study has treated the corporate control problem this way. We find no statistically significant relation between ownership structure and firm performance. This finding is consistent with the view that diffuse ownership, while it may exacerbate some agency problems, lso yields compensating advantages that generally offset such problems. Consequently, for data that reflect market-mediated ownership structures, no systematic relation between ownership structure and firm performance is to be expected. 2001 Elsevier Science B.V. All rights reserved.1.IntroductionThe connection between ownership structure and performance has been the subject of an important and ongoing debate in the corporate finance literature. The debate goes back to the Berle and Means(1932). thesis, which suggests that an inverse correlation should be observed between the diffuseness of shareholdings and firm performance. Their view has been challenged by Demsetz (1983),who argues that the ownership structure of a corporation should be thought of as an endogenous outcome of decisions that reflect the influence of shareholders and of trading on the market for shares. When owners of a privately held company decide to sell shares, and when shareholders of a publicly held corporation agree to a new secondary distribution, they are, in effect, deciding to alter the ownership structure of their firms and, with high probability, to make that structure more diffuse. Subsequent trading of shares will reflect the desire of potential and existing owners to change their ownership stakes in the firm. In the case of a corporate takeover, those who would be owners have a direct and dominating influence onthe firm’s ownership structure. In these ways, a firm’s ownership structure reflects decisions made by those who own or who would own shares. The ownership structure that emerges, whether concentrated or diffuse, ought to be influenced by the profit-maximizing interests of shareholders ,so that, as a result, there should be no systematic relation between variations in ownership structure and variations in firm performance.The empirical studies about the relation between both variables seem to have yielded conflicting results. Demsetz and Lehn (1985) provide evidence of the endogeneity of a firm’s ownership structure argued for by Demsetz (1983) and also assess the validity of the Berle and Means thesis: A linear regression of an accounting measure of profit rate on the fraction of shares owned by the five largest shareholding interests ?and on a set of control variables., in which ownership structure is treated as an endogenous variable, gives no evidence of a relation between profit rate and ownership concentration. Morck et al.?1988. ignore the endogeneity issue altogether and re-examine the relation between corporate ownership structure and performance. Like Demsetz and Lehn (1985), they find no significant relation in the linear regressions they estimate using Tobin’s Q and accounting profit rate as alternative measures of performance. However, they also estimate a piecewise linear regression of Tobin’s Q on insider ownership, and this does provide evidence of a non-monotonic relation. The estimated piecewise regression is positive for management holdings of shares between 0%and 5%of outstanding shares, negative for management holdings between 5%and 25%,and positive once more for management holdings greater than 25%.Other articles have followed the Morck et al.(1988)study. Included among these are McConnell and Servaes (1990),Hermalin and Weisbach (1988), Lodererand Martin(1997),Cho (1998),Himmelberg et al.(1999),and Holderness et al.(1999). Summary descriptions of these studies are provided in Appendix A. All rely chiefly on Tobin’s Q as a measure of firm performance, although a few also examine accounting profit rate, and all emphasize managerial shareholdings as a measure of ownership structure.Differences abound across these studies, in measurements and sample used, in estimating technique applied, in whether and how they account for the endogeneity of ownership structure, and in results obtained.Fig.1 shows the results of all the studies of firm performance and ownership structure that followedDemsetz and Lehn(1985).We do not judge here which of these articles offer(s). the most reliable guide.However,Fig.1 suggests that these studies, viewed in totality, do not give strong evidence by which to reject the belief that firmperformance and managerial equity ownership are unrelated.In Section 2,we analyze the conceptual issues surrounding each of the three main aspects that seem to explain the differences in results observed across studies: The measurements of firm performance, the measure of ownership structure used, and whether or not the endogeneity of ownership structure is taken into account in the estimation of the effect of ownership on performance. Our analysis suggests that none of the studies we examine treat ownership structure appropriately. It should be modeled not only as an endogenous variable but also, simultaneously, as an amalgam of shareholdings owned by persons with different interests. In particular, the fractions of shares owned by outside shareholders and by management should be measured separately. To our knowledge, no study to date incorporates both these aspects of ownership structure.3 Hence, a restudy of the ownership–performance relation seems needed.Our restudy fills this gap. It models ownership structure as an endogenous variable and it examines two dimensions of this structure likely to represent conflicting interests, the fraction of shares owned by management and the fraction of shares owned by the five largest shareholding interests. For the 223 firm sample examined here , the evidence supports the belief that ownership structure is endogenous but not the belief that ownership structure affects firm performance.These findings are consistent with the view that ownership structures, whether diffuse or concentrated, that maximize shareholder expected returns are those that emerge from the interplay of market forces.The following section discusses some of the conceptual issues that arise from an attempt to determine whether there is a relation between ownership structure and firm performance. Section 3 describes the data and variables we use in our empirical analysis. Section 4 reports and discusses our findings. Section 5 concludes.2.Conceptual issues in estimating the ownership–performance relation2.1.Firm performanceThe Demsetz and Lehn study used accounting profit rate to measure firm performance. All of the studies that followed used Tobin’s Q. There are two important respects in which these two measures differ. One is in time perspective, backward-looking for accounting profit rate and forward-looking for Q. In attempting to assess the effect of ownership structure on firm performance, is it more sensible to look at an estimate of what management has accomplished or atan estimate of what management will accomplish? The second difference is in who is actually measuring performance. For the accounting profit rate, this is the accountant constrained by standards set by his profession. For Q, this is primarily the community of investors constrained by their acumen, optimism, or pessimism. The proclivity of economists, most of whom have a better understanding of market constraints than of accounting constraints, is to favor Q. But caution is needed here. Accounting profit rate is not affected by the psychology of investors, and it only partially involves estimates of future events, mainly in the valuations it places on goodwill and depreciation. Tobin’s Q, however ,is buffeted by investor psychology pertaining to forecasts of a multitude of world events that include the outcomes of present business strategies.译文Ownership structure and corporate performance资料来源:rlocatereconbase作者:Harold Demsetz,Belen Villalonga摘要本文考察了当股权被视为内部变量由多层面组合时股权和企业业绩的关系。
资本结构外文文献翻译
How Important is Financial Risk?IntroductionThe financial crisis of2008has brought significant attention to the effects of financial leverage.There is no doubt that the high levels of debt financing by financial institutions and households significantly contributed to the crisis.Indeed,evidence indicates that excessive leverage orchestrated by major global banks(e.g.,through the mortgage lending and collateralized debt obligations)and the so-called“shadow banking system”may be the underlying cause of the recent economic and financial dislocation.Less obvious is the role of financial leverage among nonfinancial firms.To date,problems in the U.S.non-financial sector have been minor compared to the distress in the financial sector despite the seizing of capital markets during the crisis. For example,non-financial bankruptcies have been limited given that the economic decline is the largest since the great depression of the1930s.In fact,bankruptcy filings of non-financial firms have occurred mostly in U.S.industries(e.g.,automotive manufacturing,newspapers,and real estate)that faced fundamental economic pressures prior to the financial crisis.This surprising fact begs the question,“How important is financial risk for non-financial firms?”At the heart of this issue is the uncertainty about the determinants of total firm risk as well as components of firm risk.StudyRecent academic research in both asset pricing and corporate finance has rekindled an interest in analyzing equity price risk.A current strand of the asset pricing literature examines the finding of Campbell et al.(2001)that firm-specific(idiosyncratic)risk has tended to increase over the last40years.Other work suggests that idiosyncratic risk may be a priced risk factor(see Goyal and Santa-Clara,2003,among others).Also related to these studies is work by Pástor and Veronesi(2003)showing how investor uncertainty about firm profitability is an important determinant of idiosyncratic risk and firm value.Other research has examined the role of equity volatility in bond pricing (e.g.,Dichev,1998,Campbell,Hilscher,and Szilagyi,2008).However,much of the empirical work examining equity price risk takes the risk of assets as given or tries to explain the trend in idiosyncratic risk.In contrast,this paper takes a different tack in the investigation of equity price risk.First,we seek tounderstand the determinants of equity price risk at the firm level by considering total risk as the product of risks inherent in the firms operations(i.e.,economic or business risks)and risks associated with financing the firms operations(i.e.,financial risks). Second,we attempt to assess the relative importance of economic and financial risks and the implications for financial policy.Early research by Modigliani and Miller(1958)suggests that financial policy may be largely irrelevant for firm value because investors can replicate many financial decisions by the firm at a low cost(i.e.,via homemade leverage)and well-functioning capital markets should be able to distinguish between financial and economic distress. Nonetheless,financial policies,such as adding debt to the capital structure,can magnify the risk of equity.In contrast,recent research on corporate risk management suggests that firms may also be able to reduce risks and increase value with financial policies such as hedging with financial derivatives.However,this research is often motivated by substantial deadweight costs associated with financial distress or other market imperfections associated with financial leverage.Empirical research provides conflicting accounts of how costly financial distress can be for a typical publicly traded firm.We attempt to directly address the roles of economic and financial risk by examining determinants of total firm risk.In our analysis we utilize a large sample of non-financial firms in the United States.Our goal of identifying the most important determinants of equity price risk(volatility)relies on viewing financial policy as transforming asset volatility into equity volatility via financial leverage.Thus, throughout the paper,we consider financial leverage as the wedge between asset volatility and equity volatility.For example,in a static setting,debt provides financial leverage that magnifies operating cash flow volatility.Because financial policy is determined by owners(and managers),we are careful to examine the effects of firms’asset and operating characteristics on financial policy.Specifically,we examine a variety of characteristics suggested by previous research and,as clearly as possible, distinguish between those associated with the operations of the company(i.e.factors determining economic risk)and those associated with financing the firm(i.e.factors determining financial risk).We then allow economic risk to be a determinant of financial policy in the structural framework of Leland and Toft(1996),or alternatively, in a reduced form model of financial leverage.An advantage of the structural modelapproach is that we are able to account for both the possibility of financial and operating implications of some factors(e.g.,dividends),as well as the endogenous nature of the bankruptcy decision and financial policy in general.Our proxy for firm risk is the volatility of common stock returns derived from calculating the standard deviation of daily equity returns.Our proxies for economic risk are designed to capture the essential characteristics of the firms’operations and assets that determine the cash flow generating process for the firm.For example,firm size and age provide measures of line of-business maturity;tangible assets(plant,property,and equipment)serve as a proxy for the‘hardness’of a firm’s assets;capital expenditures measure capital intensity as well as growth potential.Operating profitability and operating profit volatility serve as measures of the timeliness and riskiness of cash flows. To understand how financial factors affect firm risk,we examine total debt,debt maturity,dividend payouts,and holdings of cash and short-term investments.The primary result of our analysis is surprising:factors determining economic risk for a typical company explain the vast majority of the variation in equity volatility. Correspondingly,measures of implied financial leverage are much lower than observed debt ratios.Specifically,in our sample covering1964-2008average actual net financial (market)leverage is about1.50compared to our estimates of between1.03and1.11 (depending on model specification and estimation technique).This suggests that firms may undertake other financial policies to manage financial risk and thus lower effective leverage to nearly negligible levels.These policies might include dynamically adjusting financial variables such as debt levels,debt maturity,or cash holdings(see,for example, Acharya,Almeida,and Campello,2007).In addition,many firms also utilize explicit financial risk management techniques such as the use of financial derivatives, contractual arrangements with investors(e.g.lines of credit,call provisions in debt contracts,or contingencies in supplier contracts),special purpose vehicles(SPVs),or other alternative risk transfer techniques.The effects of our economic risk factors on equity volatility are generally highly statistically significant,with predicted signs.In addition,the magnitudes of the effects are substantial.We find that volatility of equity decreases with the size and age of the firm.This is intuitive since large and mature firms typically have more stable lines of business,which should be reflected in the volatility of equity returns.Equity volatility tends to decrease with capital expenditures though the effect is weak.Consistent withthe predictions of Pástor and Veronesi(2003),we find that firms with higher profitability and lower profit volatility have lower equity volatility.This suggests that companies with higher and more stable operating cash flows are less likely to go bankrupt,and therefore are potentially less risky.Among economic risk variables,the effects of firm size,profit volatility,and dividend policy on equity volatility stand out. Unlike some previous studies,our careful treatment of the endogeneity of financial policy confirms that leverage increases total firm risk.Otherwise,financial risk factors are not reliably related to total risk.Given the large literature on financial policy,it is no surprise that financial variables are,at least in part,determined by the economic risks firms take.However, some of the specific findings are unexpected.For example,in a simple model of capital structure,dividend payouts should increase financial leverage since they represent an outflow of cash from the firm(i.e.,increase net debt).We find that dividends are associated with lower risk.This suggests that paying dividends is not as much a product of financial policy as a characteristic of a firm’s operations(e.g.,a mature company with limited growth opportunities).We also estimate how sensitivities to different risk factors have changed over time.Our results indicate that most relations are fairly stable. One exception is firm age which prior to1983tends to be positively related to risk and has since been consistently negatively related to risk.This is related to findings by Brown and Kapadia(2007)that recent trends in idiosyncratic risk are related to stock listings by younger and riskier firms.Perhaps the most interesting result from our analysis is that our measures of implied financial leverage have declined over the last30years at the same time that measures of equity price risk(such as idiosyncratic risk)appear to have been increasing. In fact,measures of implied financial leverage from our structural model settle near1.0 (i.e.,no leverage)by the end of our sample.There are several possible reasons for this. First,total debt ratios for non-financial firms have declined steadily over the last30 years,so our measure of implied leverage should also decline.Second,firms have significantly increased cash holdings,so measures of net debt(debt minus cash and short-term investments)have also declined.Third,the composition of publicly traded firms has changed with more risky(especially technology-oriented)firms becoming publicly listed.These firms tend to have less debt in their capital structure.Fourth,as mentioned above,firms can undertake a variety of financial risk management activities.To the extent that these activities have increased over the last few decades,firms will have become less exposed to financial risk factors.We conduct some additional tests to provide a reality check of our results.First,we repeat our analysis with a reduced form model that imposes minimum structural rigidity on our estimation and find very similar results.This indicates that our results are unlikely to be driven by model misspecification.We also compare our results with trends in aggregate debt levels for all U.S.non-financial firms and find evidence consistent with our conclusions.Finally,we look at characteristics of publicly traded non-financial firms that file for bankruptcy around the last three recessions and find evidence suggesting that these firms are increasingly being affected by economic distress as opposed to financial distress.ConclusionIn short,our results suggest that,as a practical matter,residual financial risk is now relatively unimportant for the typical U.S.firm.This raises questions about the level of expected financial distress costs since the probability of financial distress is likely to be lower than commonly thought for most companies.For example,our results suggest that estimates of the level of systematic risk in bond pricing may be biased if they do not take into account the trend in implied financial leverage(e.g.,Dichev,1998).Our results also bring into question the appropriateness of financial models used to estimate default probabilities,since financial policies that may be difficult to observe appear to significantly reduce stly,our results imply that the fundamental risks born by shareholders are primarily related to underlying economic risks which should lead to a relatively efficient allocation of capital.Some readers may be tempted to interpret our results as indicating that financial risk does not matter.This is not the proper interpretation.Instead,our results suggest that firms are able to manage financial risk so that the resulting exposure to shareholders is low compared to economic risks.Of course,financial risk is important to firms that choose to take on such risks either through high debt levels or a lack of risk management.In contrast,our study suggests that the typical non-financial firm chooses not to take these risks.In short,gross financial risk may be important,but firms can manage it.This contrasts with fundamental economic and business risks that are more difficult(or undesirable)to hedge because they represent the mechanism by which the firm earns economic profits.References[1]Shyam,Sunder.Theory Accounting and Control[J].An Innternational Theory on PublishingComPany.2005[2]Ogryezak,W,Ruszeznski,A.Rom Stomchastic Dominance to Mean-Risk Models:Semide-Viations as Risk Measures[J].European Journal of Operational Research.[3]Borowski,D.M.,and P.J.Elmer.An Expert System Approach to Financial Analysis:the Case of S&L Bankruptcy[J].Financial Management,Autumn.2004;[4]Casey, C.and ing Operating Cash Flow Data to Predict Financial Distress:Some Extensions[J].Journal of Accounting Research,Spring.2005;[5]John M.Mulvey,HafizeGErkan.Applying CVaR for decentralized risk management of financialcompanies[J].Journal of Banking&Finanee.2006;[6]Altman.Credit Rating:Methodologies,Rationale and Default Risk[M].Risk Books,London.译文:财务风险的重要性引言2008年的金融危机对金融杠杆的作用产生重大影响。
外文翻译--资本结构与企业绩效
Capital Structure and Firm Performance1. IntroductionAgency costs represent important problems in corporate governance in both financial and nonfinancialindustries. The separation of ownership and control in a professionally managed firm may result in managersexerting insufficient work effort, indulging in perquisites, choosing inputs or outputs that suit their ownpreferences, or otherwise failing to maximize firm value. In effect, the agency costs of outside ownership equalthe lost value from professional managers maximizing their own utility, rather than the value of the firm. Theory suggests that the choice of capital structure may help mitigate these agency costs. Under theagency costs hypothesis, high leverage or a low equity/asset ratio reduces the agency costs of outside equity andincreases firm value by constraining or encouraging managers to act more in the interests of shareholders. Sincethe seminal paper by Jensen and Meckling (1976), a vast literature on such agency-theoretic explanations ofcapital structure has developed (see Harris and Raviv 1991 and Myers 2001 for reviews). Greater financialleverage may affect managers and reduce agency costs through the threat of liquidation, which causes personallosses to managers of salaries, reputation, perquisites, etc. (e.g., Grossman and Hart 1982, Williams 1987), andthrough pressure to generate cash flow to pay interest expenses (e.g., Jensen 1986). Higher leverage canmitigate conflicts between shareholders and managers concerning the choice of investment (e.g., Myers 1977), the amount of risk to undertake (e.g., Jensen and Meckling 1976, Williams 1987), the conditions under which thefirm is liquidated (e.g., Harris and Raviv 1990), and dividend policy (e.g., Stulz 1990).A testable prediction of this class of models is that increasing the leverage ratio should result in loweragency costs of outside equity and improved firm performance, all else held equal. However, when leveragebecomes relatively high, further increases generate significant agency costs of outside debt –including higherexpected costs of bankruptcy or financial distress –arising from conflicts between bondholders andshareholders.1 Because it is difficult to distinguish empirically between the two sources of agency costs, wefollow the literature and allow the relationship between total agency costs and leverage to be nonmonotonic.Despite the importance of this theory, there is at best mixed empirical evidence in the extant literature(see Harris and Raviv 1991, Titman 2000, and Myers 2001 for reviews). Tests of the agency costs hypothesistypically regress measures of firm performance on the equity capital ratio or other indicator of leverage plussome control variables. At least three problems appear in the prior studies that we address in our application.In the case of the banking industry studied here, there are also regulatorycosts associated with very high leverage.First, the measures of firm performance are usually ratios fashioned from financial statements or stockmarket prices, such as industry-adjusted operating margins or stock market returns. These measures do not netout the effects of differences in exogenous market factors that affect firm value, but are beyon d management’scontrol and therefore cannot reflect agency costs. Thus, the tests may be confounded by factors that areunrelated to agency costs. As well, these studies generally do not set a separate benchmark for each firm’sperformance that would be reali zed if agency costs were minimized.We address the measurement problem by using profit efficiency as our indicator of firm performance.The link between productive efficiency and agency costs was first suggested by Stigler (1976), and profitefficiency represents a refinement of the efficiency concept developed since that time.2 Profit efficiencyevaluates how close a firm is to earning the profit that a best-practice firm would earn facing the sameexogenous conditions. This has the benefit of controlling for factors outside the control of management that arenot part of agency costs. In contrast, comparisons of standard financial ratios, stock market returns, and similarmeasures typically do not control for these exogenous factors. Even when the measures used in the literature areindustry adjusted, they may not account for important differences across firms within an industry – such as localmarket conditions – as we are able to do with profit efficiency. In addition, the performance of a best-practicefirm under the same exogenous conditions is a reasonable benchmark for how the firm would be expected toperform if agency costs were minimized.Second, the prior research generally does not take into account the possibility of reverse causation fromperformance to capital structure. If firm performance affects the choice of capital structure, then failure to takethis reverse causality into account may result in simultaneous-equations bias. That is, regressions of firmperformance on a measure of leverage may confound the effects of capital structure on performance with theeffects of performance on capital structure.We address this problem by allowing for reverse causality from performance to capital structure. Wediscuss below two hypotheses for why firm performance may affect the choice of capital structure, theefficiency-risk hypothesis and the franchise-value hypothesis. We construct a two-equation structural model andestimate it using two-stage least squares (2SLS). An equation specifying profit efficiency as a functi on of the2 Stigler’s argument was part of a broader exchange over whether productive efficiency (or X-efficiency) primarily reflectsdifficulties in reconciling the preferences of multiple optimizing agents –what is today called agency costs –versus “true” inefficiency, or failure to optimize (e.g., Stigler 1976, Leibenstein 1978). firm’s equity capital ratio and other variables is used to test the agency costs hypothesis, and an equationspecifying the equity capital ratio as a function of the firm’s profi tefficiency and other variables is used to testthe net effects of the efficiency-risk and franchise-value hypotheses. Both equations are econometricallyidentified through exclusion restrictions that are consistent with the theories.Third, some, but not all of the prior studies did not take ownership structure into account. Undervirtually any theory of agency costs, ownership structure is important, since it is the separation of ownership andcontrol that creates agency costs (e.g., Barnea, Haugen, and Senbet 1985). Greater insider shares may reduceagency costs, although the effect may be reversed at very high levels of insider holdings (e.g., Morck, Shleifer, and Vishny 1988). As well, outside block ownership or institutional holdings tend to mitigate agency costs bycreating a relatively efficient monitor of the managers (e.g., Shleifer and Vishny 1986). Exclusion of theownership variables may bias the test results because the ownership variables may be correlated with thedependent variable in the agency cost equation (performance) and with the key exogenous variable (leverage)through the reverse causality hypotheses noted aboveTo address this third problem, we include ownership structure variables in the agency cost equationexplaining profit efficiency. We include insider ownership, outside block holdings, and institutional holdings.Our application to data from the banking industry is advantageous because of the abundance of qualitydata available on firms in this industry. In particular, we have detailed financial data for a large number of firmsproducing comparable products with similar technologies, and information on market prices and otherexogenous conditions in the local markets in which they operate. In addition, some studies in this literature findevidence of the link between the efficiency of firms and variables that are recognized to affect agency costs,including leverage and ownership structure (see Berger and Mester 1997 for a review).Although banking is a regulated industry, banks are subject to the same type of agency costs and otherinfluences on behavior as other industries. The banks in the sample are subject to essentially equal regulatoryconstraints, and we focus on differences across banks, not between banks and other firms. Most banks are wellabove the regulatory capital minimums, and our results are based primarily on differences at the mar2. Theories of reverse causality from performance to capital structureAs noted, prior research on agency costs generally does not take into account the possibility of reversecausation from performance to capital structure, which may result in simultaneous-equations bias. We offer twohypotheses of reverse causation based on violations of the Modigliani-Millerperfect-markets assumption. It isassumed that various market imperfections (e.g., taxes, bankruptcy costs, asymmetric information) result in abalance between those favoring more versus less equity capital, and that differences in profit efficiency move theoptimal equity capital ratio marginally up or down.Under the efficiency-risk hypothesis, more efficient firms choose lower equity ratios than other firms, allelse equal, because higher efficiency reduces the expected costs of bankruptcy and financial distress. Under thishypothesis, higher profit efficiency generates a higher expected return for a given capital structure, and thehigher efficiency substitutes to some degree for equity capital in protecting the firm against future crises. This isa joint hypothesis that i) profit efficiency is strongly positively associated with expected returns, and ii) thehigher expected returns from high efficiency are substituted for equity capital to manage risks.The evidence is consistent with the first part of the hypothesis, i.e., that profit efficiency is stronglypositively associated with expected returns in banking. Profit efficiency has been found to be significantlypositively correlated with returns on equity and returns on assets (e.g., Berger and Mester 1997) and otherevidence suggests that profit efficiency is relatively stable over time (e.g., DeYoung 1997), so that a finding ofhigh current profit efficiency tends to yield high future expected returns.The second part of the hypothesis –that higher expected returns for more efficient banks are substitutedfor equity capital –follows from a standard Altman z-score analysis of firm insolvency (Altman 1968). Highexpected returns and high equity capital ratio can each serve as a buffer against portfolio risks to reduce theprobabilities of incurring the costs of financialdistressbankruptcy, so firms with high expected returns owing tohigh profit efficiency can hold lower equity ratios. The z-score is the number of standard deviations below theexpected return that the actual return can go before equity is depleted and the firm is insolvent, zi = (μi +ECAPi)/σi, where μi and σi are the mean and standard deviation, respectively, of the rate of return on assets, andratios for those that were fully owned by a single owner-manager. This may be an improvement in the analysis of agencycosts for small firms, but it does not address our main issues of controlling for differences in exogenous conditions and insetting up individualized firm benchmarks for performance.ECAPi is the ratio of equity to assets. Based on the first part of the efficiency-risk hypothesis, firms with higherefficiency will have higher μi. Based on the second part of the hypothesis, a higher μi allows the firm to have alower ECAPi for a ven z-score, so that more efficient firms may choose lower equity capital ratios.文章出处:Raposo Clara C. Capital Structure and Firm Performance .Journal ofFinance.Blackwell publishing.2005, (6): 2701-2727.资本结构与企业绩效1.概述代理费用不管在金融还是在非金融行业,都是非常重要的企业治理问题。
资本结构外文文献
资本结构外文文献资本结构是一个公司的股权和负债的组合,可以通过权益比率和负债比率来描述。
资本结构的选择与公司的风险、财务灵活性、成本效益等有联系,因此,对于公司来说,资本结构的选择至关重要。
在本文中,我们将介绍两篇外国文献,以了解资本结构的现状和选择对公司的影响。
第一篇文献第一篇文献名为“Capital Structure and Corporate Performance in China: Evidence from Foreign Listed Firms”,作者为Sung C. Bae、Chang-Soo Kim和Akihiko Takahashi。
这篇文章研究了中国外资上市公司的资本结构与业绩之间的关系,并通过样本回归分析得出。
文章首先介绍了中国外资上市公司的资本结构情况,指出了其负债比率高、权益比率低的特点,这些特点也反映在其经营绩效上。
然后,文章对不同的资本结构与公司绩效之间的关系进行了实证研究。
分析发现,在外籍公司中,负债比率与公司绩效呈倒U型关系,而权益比率与公司绩效呈现正向关系。
同时,还发现公司规模和成长率对资本结构选择具有重要影响。
文章得出:在中国外资上市公司中,权益比率对公司绩效具有显著的正向作用;负债比率和公司绩效之间存在倒U型关系;公司规模和成长率都对资本结构选择有重要影响。
第二篇文献第二篇文献名为“Capital Structure and Firm Performance: Evidence from Malaysia”,作者为Chee-Wooi Hooy、Chin-Fei Goh和Yew-Ming Chia。
这篇文章研究了马来西亚公司的资本结构选择与公司绩效之间的关系。
文章首先介绍了马来西亚公司的资本结构特点,包括股权比例高、负债比例低的现象。
然后,文章通过样本回归分析研究了资本结构选择与公司绩效之间的关系。
分析发现,在马来西亚公司中,权益比率和公司绩效呈现正相关关系,负债比率与公司绩效之间没有显著关系。
外文翻译--公司的股权结构、公司治理和资本结构决策——来自加纳的实证研究
外文翻译--公司的股权结构、公司治理和资本结构决策——来自加纳的实证研究本科毕业论文(设计)文翻译外原文:Ownership structure, corporate governance and capital structuredecisions of firmsEmpirical evidence from Ghana1. IntroductionThe relevance of capital structure to firm value remains fairly established following the seminal article by Modigliani and Miller, 1958 (Grabowski and Mueller, 1972; McCabe, 1979; Anderson and Reeb, 2003). Several theories including the pecking order theory, the free cash flow, the capital signaling, the trade-off, and market timing theories (windows of opportunities) and the fact that capital structure is voluntarily chosen by managers (Zwiebel, 1996) have been propounded to explain the choice of capital structure. Also, considerable research attention has been paid to the impact of agency costs on corporate financing since Jensen and Meckling (1976) published their paper.Crutchley and Hansen (1989) maintain that managers’ choice of stock ownershipin the firm, the firm’s mixture of outside debt and equity financing, and dividends aremeant to reduce the costs of agency conflicts. Bajaj et al. (1998) suggest that ownership is positively correlated with various measures of the debt-equity ratio (leverage), implying that ownership structure has a correlation with financial structure of firms (Kim and Sorensen, 1986; Mehran, 1992; Brailsford et al., 2002). Friend and Lang (1988) find that debt ratio is negatively related to managerial ownership. Brailsford et al. (2002) suggest that the relationship between managerial share ownership and leverage may in fact be inverted u-shaped.In addition, Berglo?f (1990) suggests that in countries in which firms are typically closely held, debt finance plays a more prominent role than in countries characterized by more dispersed ownership structures suggesting the impact of insider system of corporate governance on financing structure of firms. Thomsen and Pedersen (2000) report empirical evidence supporting the hypothesis that the identity of large owners –family, bank, and institutional investors – has important implications for financialstructure. In particular, they show that a more risk averse or a more patient entrepreneur issues less debt and more equity. Given that insider system of corporate governance is practiced among listed companies in Ghana (Bokpin, 2008), this study seeks to document the impact of ownership structure on corporate financing, a mark departure from Abor (2007).Claessens et al. (2002) maintain that better corporate governance frameworks benefit firms through greater access to financing, lower cost of capital, better performance and more favourable treatment of all stakeholders. Corporate governance affects the development andfunctioning of capital markets and exerts a strong influence on resource allocation. Corporate governance correlates with the financing decisions and the capital structure of firms (Graham and Harvey, 2001; Litov, 2005; Abor, 2007). However, management incentives that include stock options introduces issues for the alignment of managerial and shareholder interests. The question is which way does managerial ownership affect capital structure decisions of firms? How does the form of governance affect the choice of financing? The empirical evidence observed in the literature is inconclusive with much focus on developed capital markets.Unlike Abor (2007), this present study considers a much broader corporate governance index of the impact of ownership structure, managerial share ownership and other corporate governance variables on capital structure decisions of firms on the Ghana Stock Exchange (GSE). Earlier studies on the GSE have failed to consider the impact of these factors on corporate financing decisions of firms (Aboagye, 1996; Boateng, 2004; Abor and Biekpe, 2005; Abor, 2007) implying that, these studies invariably ignores a gamut of other relevant variables that are central to understandingthe relationship among ownership structure, corporate governance,and firms’financing decisions from a developing country perspective Aside, the study uses more recent data from 2002 to 2007 whilst employing a panel data analysis. The rest of the paper is divided into four sections. Section 2 considers the literature review; Section 3 discusses data used in the study and also details the model specifications used for the empirical analysis. Section 4 contains the discussion of the results and Section 5 summarizes and concludes the paper.2. Literature review2.1 Ownership structure and capital structureThe relationship between ownership and capital structures has attracted a considerable research attention over the last couple of decades. Jensen and Meckling (1976) defined ownership structure in terms of capital contributions. Thus, the authors saw ownership structure to comprise of inside equity (managers), outside equity and debt, thus proposing an extension of the form of ownership structure beyond the debt-holder and equity-holder view. Zheka (2005) unlike the above authors constructs ownership structure using variables including proportion of foreign share ownership, managerial ownership percentage, largest institutional shareholder ownership, largest individual ownership, and government share ownership. Bajaj et al. (1998) suggest that ownership is positively correlated with various measures of the debt-equity ratio (leverage), implying that ownership structure has a correlation with financial structure of firms.Friend and Lang (1988) find that debt ratio is negatively related to managerial ownership. Brailsford et al. (2002) suggest that the relationship between managerial share ownership and leverage may in fact be inverted u-shaped. Thus, debt first increases with an increase in managerial share ownership; but beyond a critical level of managerial share ownership debt may fall because there could be only a few agency related benefits by increasing debt further as the interests of managers and owners get very strongly aligned. Pindado and de la Torre (2005) conclude that insider ownership does not affect debt when the interest of managers and owners are aligned. Jensen and Meckling (1976), in relating capital structure to the level ofcompensation for CEOs came out with the findings that there is a positive correlation between the two and this was supported by Leland and Pyle (1977) and Berger et al. (1997) who assert the claim that the correlation between CEO compensation and capital structure is a positive one. However, Friend and Lang (1988), Friend and Hasbrouck (1988) and Wen et al. (2002) found a negative correlation between CEO compensation and the financial leverage of firms.Morck et al. (1988) argue that family ownership may give rise to greater leverage than in the case of disperse ownership, because of the non-dilution of entrenchment effects. Mishra and McConaughy (1999) document empirical evidence that funding family-controlled firms use less debt than non-funding family controlled firms. Thomsen and Pedersen (2000) report empirical evidence supporting the hypothesis that theidentity of large owners – family, bank, and institutional investors –hasimportant implications for financial structure. In particular, they show that a more risk averse or a more patient entrepreneur issues less debt and more equity. Anderson and Reeb (2003) further argue that family ownership reduces the cost of debt financing.Berglo?f (1990) suggests that in countries in which firms aretypically closely held, debt finance plays a more prominent role than in countries characterized by more dispersed ownership structures. Bergeret al. (1997) found less leverage in firms with no major stakeholder. Lefort and Walker (2000) conclude that groups are effective in obtaining external finance and that there are no significant differences in the capital structure of groups of different sizes. Brailsford et al. (2002) suggest that firms with external block holders have low-debt ratios consistent with Friend and Lang (1988), who earlier on had indicatedthat firms with large non-managerial investors have significantly higher debt ratios than those without non-managerial investors. Cheng et al. (2005) also indicates that the leverage increases as ownership concentration increases following rights issuance. Driffield et al. (2005) argue that, higher ownership concentration is associated with higher leverage irrespective of whether a firm is family owned or not. Pindado and de la Torre (2005) suggest that there is a positive relationship between ownership concentration and debt thus, all things being equal, ownership concentration encourages debt financing. However,they find the positive effect of ownership concentration on debt tobe smaller in cases of high free cash flow. They also find that ownership concentration does not moderate the relationship betweeninsider ownership and debt; in contrast, the relationship between ownership concentration and debt is affected by insider ownership. Thus, the debt increments promoted by outside owners are larger when managers are entrenched.2.2 Corporate governance and capital structureCorporate governance correlates with the financing decisions and the capital structure of firms (Graham and Harvey, 2001; Litov, 2005). Jensen (1986) postulates that large debt is associated with larger boards. Though Berger et al. (1997) concludes on a later date thatlarger board size is associated with low leverage; several other studies conducted in recent times have refuted this conclusion. Wen et al. (2002) posit that larger board size is associated with higher debt, either to improve the firm’s value or because the larger si ze prevents the board from reaching a consensus on decisions, indicating a weak corporate governance system. Anderson et al. (2004) further indicate that larger board size results in lower cost of debt, which serves as a motivationfor using more debt, and this has been confirmed by Abor (2007) who concludes that capital structure positively correlates with board size, among Ghanaian listed firms.In relation to the presence of external directors on the board, Wenet al. (2002) conclude that the presence of external directors on theboard leads to lower leverage, used by the firm, due to their superior control. However, Abor (2007) concludes that capital structurepositively correlates with Board composition among Ghanaian listed firms. And this is consistent with Jensen (1986) and Berger et al. (1997) who had earlier on concluded that firms with higher percentage of external directors utilize more debt as compared to equity.Berger et al. (1997) found less leverage in firms run by CEOs with long tenure and this was confirmed by Wen et al. (2002), who concludethat the tenure of CEO is negatively related to leverage, to reduce the pressures associate with leverage. Kayhan (2003) finds that entrenched managers achieve lower leverage through retaining moreprofits and issuing equity more opportunistically. Further, Litov (2005) supports this claim that entrenched managers adopt lower levelsof debt. Abor (2007) also asserts that entrenched CEOs employ lower debt in order to reduce the performance pressures associated with high-debt capital. However, Bertrand and Mullainathan (2003) refuted this fact by showing in their study that entrenched managers “enjoy the quiet life” by engaging in risk-reducing projects, indicating a positiverelationship between managerial entrenchment and leverage.Fosberg (2004) relates that firms with a two-tier leadershipstructure have high-debt/equity ratios. This was supported by Abor (2007), who concludes that capital structure positively correlates with CEO duality, which shows that firms on the GSE use more debt as the CEO duality increases.3. Research methodologyIn order to gain the maximum possible observations, pooled panel crossed-section regression data are used. Panel data analysis involves analysis with a spatial and temporal dimension and facilitates identification of effects that are simply not detectable in pure cross-section or pure time series studies. Thus, degrees of freedom are increased and collinearity among the explanatory variables is reduced and the efficiency of economic estimates is improved. The study is therefore based on the official data published by the cross-sectional firms for the various years covering a period from 2002 to 2007.Analytical frameworkThe general form of the panel regression model is stated as:'ititity=α+Xβ+μ i=1,…,N;t=1,…,Twhere subscript i and t represent the firm and time, respectively. In this case, i represents the cross-section dimension and t represents the time-series component. Y is the dependable variable which is a measure of capital structure. αis a scalar, βisitK *1 and Xit is the observation on K explanatory variables. We assume that theμfollow a one-way error component model:itiitμ=μ+νiwhereμ is time-invariant and accounts for any unobservableitindividual-specific effect that is not included in the regression model. The termνrepresents the remaining disturbance, and varies with the individual firms and time.Source: Godfred A. Bokpin and Anastacia C. Arko, 2009. “Ownership structure,corporate governance and capital structure decisions of firms Empirical evidence from Ghana” . Studies in Economics and Finance . Vol.26 No. 4.pp. 246-256.译文:公司的股权结构、公司治理和资本结构决策——来自加纳的实证研究一、引言继利亚和米勒1958年开创性的文章(格拉博夫斯基和米勒,1972年; 迈克,1979年;安德森和力波,2003年)之后,公司价值与资本结构相关性依然得到较大的认可。
捷克共和国的公司股权结构与经营绩效的关系【外文翻译】
外文题目:Ownership Concentration and Corporate Performance in the Czech Republic出处:The William Davidson Institute作者:Stijn Claessens and Simeon DjankovThe association between ownership structure and corporate performance is a much studied topic in both transition and market economies. The research on this topic dates back more than sixty years to Berle and Means(1933),who contend that diffuse ownership yields significant power in the hands of managers whose interests do not coincide with the interest of shareholders. As a result,corporate resources are not used for the maximization of shareholders’ value. Several studies find a strong positive relation between ownership concentration and corporate performance in the United States and other market economies and attribute it to the impact of better monitoring. In transition economies,empirical studies find a positive relationship between concentrated ownership and both voucher prices and stock market prices in the Czech Republic and China. Other studies find a positive relation between actual firm performance and ownership concentration in Russia.Much of the empirical work on the relation between ownership structure and corporate performance has had difficulty controlling for the possible feedback of firm characteristic to ownership, especially since it has focused mainly on market economies with low transactions costs in changing ownership. Using a data set that, by construction , alleviates the endogeneity problem can contribute to the dabate on the direction of causality. The design of the Czech privatization program precluded the adjustment of ownership to firm characteristics. In particular, the decision to change ownership was taken by the state, while the rules of the bidding process prevented participating agents from obtaining optimal ownership structure.Thus, we can study the link between concentrated ownership and firm performance following voucher privatization. The Czech voucher scheme prevented insiders from acquiring large ownership stakes, as few direct sales of assets took placebefore the voucher privatization. The short time before privatization, with the first round starting only three months after the initial announcement, made it difficult for investors with insider knowledge to accumulate sufficient capital to buy significant quantities of shares. The Czech voucher, unlike its Russian counterpart, was not transferable so that the accumulation of an individual stake from the percentage of shares allocated to voucher privatization was impossible.We relate ownership concentration to two corporate performance parameters for a crosssection of Czech firms over the period 1992 through 1997. In particular, we test whether firms with more concentrated ownership have experienced larger positive changes in profitability and labor productivity. Controlling for some firm-specific variables, we find that both profitability and productivity changes are positively related with ownership concentration. A 10% increase in concentration leads to a 2% increase in short-term labor productivity and a 3% increase in shortterm profitability. The results are weakly robust to alternating econometric and data specifications.Empirical design:We have survey data on Czech firms compiled by a private consulting firm. The database contains financial and ownership information for 1782 firms listed on the Prague stock exchange. All financial variables were defined using international accounting standards from the onset of the survey in 1992. A number of firms do not report revenues,expenditures, or employment changes. We exclude them from our analysis. The 1992 through 1997 data are complete for 371 firms that went through the first phase of voucher privatization, and for 335 firms that went through the second phase. Such firm, a total of 22, are included in the sample.Using accounting data to test the effect of changes in corporate performance may be objectionable in formerly centrally planned economies. Data quality is weak as new accounting standards were introduced in the Czech republic only in 1992. nevertheless, firm in our sample do report quite complete information and accounting has improved considerably since the onset of the transition. Especially in the last years of our sample, profitability and productivity can be expected to reflect theeffects of ownership structures.For the empirical tests, we use profitability and labor productivity as indicators of corporate performance. Profitability is defined as gross operating profit over net fixed assets plus inventory. Table 1 shows its increase over time, from 14.4% in 1993 to 16.9% in 1995 on average, followed by a decline in 1996. Seven of the top firms, firms with the highest profitability, operate in the engineering and architectural design, management, accounting sectors. Six of the bottom 10 operate in the basic metals and the fabricated metal products, including armaments, sectors. Labor productivity is defined as value-added per employee, where sector-specific price indices provided by the Czech statistical office are used to deflate value-added . Labor productivity also increased throughout the period 1992 to 1996.As in Demsetz and Lehn(1985)and Weiss and Nikitin(1999), we use theshare of equity held by the top five investors (T5)and a logistic transformation of this share(L5), defined as log{T5/[100-T5]} as the indicators for ownership concentration. Summary statistics for these measures are also provided in Table 1。
【精品文档】61资本结构和公司绩效:来自约旦的证据中英文双语外文文献翻译成品
外文标题:Capital structure and corporate performance: evidence from Jordan 外文作者:Rami Zeitun and Gary Gang Tian文献出处: Australasian Accounting Business & Finance Journal, 2007英文1689单词,8276字符,中文2309汉字。
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Capital structure and corporate performance: evidence from JordanRami Zeitun and Gary Gang TianThe objective of the current paper is to examine the effect which capital structure has on corporate performance in Jordan. There is a lack of empirical evidence about the effect of capital structure on the performance of firms in both developed and developing countries. Most of the previous evidence on capital structure comes from the determinants of corporate debt ratio. To the best of the auth ors’ knowledge, this research provides the first attempt to investigate the effect of capital structure on corporate performance in Jordan. Our reason for choosing Jordan as a case for this topic is its uniqueness, which we discuss below.First, the Jordanian economy has been subject to a large number of external shocks in the Middle East region during the period of our study. Secondly, the banking system in Jordan also makes this study unique.Thirdly, it is worth noting that both Islamic and non-Islamic banks have a credit policy.The concept of performance is a controversial issue in finance largely due to its multi- dimensional meanings. Research on firm performance emanates from organization theory and strategic management (Murphy et al., 1996). Performance measures are either financial or organisational. Financial performance such as profit maximisation, maximising profit on assets, and maximising shareholders' benefits are at the core of the firm’s effectiveness (Chakravarthy, 1986). Operational performance measures, such as growth in sales and growth in market share.Table 1 reports summary statistics for the variables used in the study.The average return to assets for the sample as a whole is 1.2%, while the average return to equity is about - 14.2%. The two accounting measures of performance show that Jordanian companies have a very low accounting performance. The four measures of market performance show a high percentage of performance compared with the accounting measures. For example, the average v alues of Tobin’s Q and MBVR are 170% and 195%, respectively. The high ratios for the market performance measures could be as a result of the increase in firms' share price and equity without any increase in the real activities performance of the firms.The results of the estimation of the panel data models with each of the performance measures and for the full sample of observations for the period 1989-2003 are displayed in Tables 3 to 6. The regression model using price per share to earnings per share (P/E)10 is not significant using any measure of capital structure and, hence, is not reported. The regression model using return on equity (ROE) is excluded from the analysis because the ROE measure does not have any significant variable in the estimation and the R-squared value using this measure in mostcases was less than 0.1%11. The market value of equity to book value of equity (MBVE) is also excluded from the analysis as the R-squared is very small and the result is very similar to Tobin’s Q12. These results make the ROA and Tobin’s Q the most powerful measures of performance in the Jordan case. Therefore, our discussion will concentrate on these two measures of performance beside the MBVR and PROF measures.The significance of the variable TAX suggests that the better performance of Jordanian companies is related to the higher corporate income tax payment, and also to other factors such as the firm’s risk, size, and debt ratio (see Tables 3 to 6). This result indicates that firms with high tax payments have a higher performance rate. The composition of the asset structure (TANGB) has a negative and significant impact on the accounting measure of performance (ROA) and the market measure of performance (MBVR). This result indicates that firms with a high ratio of TANGB have a lower performance ratio.The economic environment and policy and regional risk affect firms’ performance. Hypothesis 7 states that Political Instability around Jordan (regional crises) affects corporate performance. Table 8 presents the results of the estimation including Y ear (time) dummy variables to control for the macroeconomic variables and economic environment and policy impact on firms' performance. The estimated coefficients on time dummies suggest a significant effect of macro economic variables on firms’ performance, implying that major changes to the overall economic environment may significantly affect corporate performance. From 1991 to 1994, time dummies had a positive and significant effect on the firm’s performance measur ed by ROA (using TDTA).This paper examines the impact which capital structure has had on corporate performance in Jordan in which we control the effect of industrial sectors, regional risk, such as the Gulf Crisis 1990-1991 and the outbreak of Intifadah in the West Bank in September 2000. This paper bridges the gap in the relevant literature as state and regional development varies from one country to another and this development could affect the validity of the theories as the environment changes.There is no single study formulated in the Middle East that investigates the impact of capital structure on a firm’s performance. This study tried to fill the gap in this field by investigating the effect of capital structure on corporate performance by taking Jordan as a case study. Furthermore, this paper employed different measures of capital structure such as short- term debt, long-term debt, and total debt to total assets in order to investigate the effect of the debt structure on corporate performance. Investigating the effect of capital structure on corporate performance using market and accounting measures could be valuable as it provides evidence about whether the stock market is efficient or not.An unbalanced panel of 167 companies are studied in this paper, of which 47 firms defaulted due to severe financial distress problems resulting in insolvency. A firm’s capital structure was found to have a significant and negative impact on the firm’s performance measures in both the accounting and market measures. An interesting finding is that the STDTA has a positive and significant effect on the market performance measure (Tobin’s Q), which could to some extent support Myers's (1977) argument that firms with high short-term debt to total assets have a high growth rate and high performance. The results also show that high performance is associated with a high tax rate. This indicates that profitable firms pay a high tax rate. Firm size was found to have a positive impact on a firm’s performance, as large firms h ave low bankruptcy costs. In other words, bankruptcy costs increases as firm size decreases and, hence, bankruptcy costs negatively affects a firm’s performance.REFERENCESAbdel Shahid, S. (2003), “Does Ownership Structure Affect Firm V alue? Evidence from The Egyptian StockMarket”, Working Paper, [online], ().ASE (2002), Amman Stock Exchange, 2002, Fourth Annual Report, (Amman, Jordan).Ang, J. S., R. A. Cole, and Lin, J. W. (2000), “Agency Costs and Ownership Structure”,Journal of Finance 55, 81-106.Barclay, M. J., and Smith, C. W. (1995), “The Maturity Structure of Corporate Debt”, Journal of Finance 50, 609-32. Bradley, M., G. A. Jarrell, and Kim, E. H. (1984), “On the Existence of an Optimal Capital Structure: Theory andEvidence”, Journal of Finance 39, 857-878.Breusch, T., and Pagan, A. (1980), “The Lagrange-Multiplier Test and its Applications to Model Specification inEconometrics”, Review of Economic Studies 47, 239–253.Brick, I. E., and Ravid, S. A. (1985), “On the Relevance of Debt Maturity Structure”,Journal of Finance 40, 1423–37.Chakravarthy, B. S., (1986), “Measuring Strategic Performance”, Strategic Management Journal 7, 437-58.Demsetz, H., and K. Lehn, (1985), “The Structure of Corporate Ownership: Causes and Consequen ces”,Journal ofPolitical Economy 93, 1155-1177.Durand, R., and R. Coeurderoy, (2001), “Age,Order of Entry, Strategic Orientation, and OrganizationalPerformance”, Journal of Business Venturing 16, 471-94.Fisher, F. M., and J. McGowan, (1983), “On the Misuse of Accounting Rates of Return to Infer Monopoly Profits”,American Economic Review 73, 82-97.Gleason, K. C., L. K Mathur, and I. Mathur, (2000), “The Interrelationship between Culture,Capital Structure, andPerformance: Evidence from European Reta ilers”, Journal of Business Research, 50, 185-191. Gorton, G., and R. Rosen, (1995), “Corporate Control, Portfolio Choice, and the Decline of Banking”,Journal ofFinance 50, 1377-420.Greene, W. H., (2003). Econometrics Analysis (Prentice Hall, New Y ork).Harris, M., A. Raviv, (1991), “The Theory of Capital Structure”, Journal of Finance 46,297–355.Hoffer, C. W., and W. R. Sandberg, (1987), “Improving new venture performance: some guidelines for success”,American Journal of Small Business 12, 11-25.Judge, George, W. E., R. Griffiths, Carter Hill, Helmut Liitkepohl, and Tsoung-Chao Lee, (1985). The Theory andPractice of Econometrics (John Wiley and Sons, New Y ork).Kraus, A., and R. Litzenberger, (1973), “A State-Preference Model of Optimal Financial Le verage”,Journal ofFinance 28, 923-931.Krishnan, V. S., and R. C. Moyer, (1997), “Performance, Capital Structure and Home Country: An Analysis of AsianCorporations”. Global Finance Journal 8, 129-143.Lauterbach, B., and A. V aninsky, (1999), “Ownership Structure and Firm Performance: Evidence from Israel”,Journal of Management and Governance 3, 189-201.Long, W. F., D. J. Ravenscraft, (1984), “The Misuse of Accounting Rates of Return: Comment”, American EconomicReview 74, 494-500.Mehran, H., (1995), “Executive Compensation Structure, Ownership, and Firm Performance”, Journal of FinancialEconomics 38, 163-184译文:资本结构和公司绩效:来自约旦的证据Rami Zeitun and Gary Gang Tian本文研究的主要目的是考察资本结构对约旦公司绩效的影响。
【经济类论文】国外股权结构和公司绩效关系的研究综述
国外股权结构和公司绩效关系的研究综述“股权结构”一词的英文是“Ownership Structure”,国内有人也将该词译作“所有权结构”,很多文献中将股权结构和所有权结构两词的含义等同。
实际上两者之间有一定的差异,这种差异是源于人们对企业所有者认识的变化。
传统的物质资本至上的逻辑下,企业的所有者是股东,企业经营的目标是满足股东财富最大化的要求。
这样,股权就等同于企业的所有权,股权结构和所有权结构就是同义词。
随着现代企业理论的发展,人们对企业的认识不断深入,企业利益相关者的理论者如布莱尔认为企业是各相关利益主体之间的合约关系,在企业的经营中股东并没有承担企业全部的经营风险,其它主体诸如债权人、职工等也承担了部分剩余风险,公司应实现所有那些事实上投资于企业并承担风险者的目标,(类似于一种社会目标)。
基于这样的认识,所有权结构的范围就比股权结构的范围更大。
笔者在本文中认为股权结构仅指公司中不同类型的股东所持公司股份的比例关系。
有关这方面的研究最早可追溯至Berle和Means(1932)的研究,他们在其名著《现代公司和私有财产》中指出两权(即所有权和控制权)出现了分离,即出现了“所有权与控制权分离”的现象,公司的控制权由经理人员掌握,股东的权益会受到经理人员行使控制权行为的影响,甚至会损害股东的利益,后人将这一论断称为“Berle-Means命题”。
笔者在对这方面的文献回顾时将其分成理论和实证两条主线,同时对每部分进行论述时,按照内部人持股与公司绩效、外部人与公司绩效和股权结构内生性(股权结构与公司价值无关)三条线索进行专题综述。
一、理论研究现状(1)内部人持股与公司绩效①利益收敛假定(covergence-of-interest hypothesis)Jensen和Meckling假设所有外部股份均没有投票权,管理者不论其持股比例如何都享有对企业的控制权,可将其称为所有者--管理者。
Jenson和Meckling通过对所有者--管理者拥有企业100%的剩余要求权时的行为与他向外出售部分要求权时的行为之间的对比,指出随着股票份额的减少,所有者——管理者对企业产出的权利要求也随之减少,这将导致他以额外津贴的形式(如宽敞的办公环境、厚厚的地毯)等去占用大量的公司资源。
外文翻译--股权结构与公司绩效 以印度为例
中文4200字,2650单词,14800英文字符出处:Srivastava A. Ownership Structure and Corporate Performance: Evidence from India[J]. International Journal of Humanities & Social Science, 2011, 7(3):209–233.原文Ownership Structure and Corporate Performance: Evidence from IndiaAuthor: Aman SrivastavaAbstractOwnership structure of any company has been a serious agenda for corporate governance and that of performance of a firm. Thus, who owns the firm’s equity and how does ownership affect firm value has been a topic investigated by researchers for decades. Thus, the impact of ownership structure on firm performance has been widely tackled in various developed markets and more recently in emerging markets, but was less discussed before, in India in recent changing environment. This paper is a moderate attempt to address the relationship of ownership structure of the firm and its performance. It investigates whether the ownership type affects some key accounting and market performance indicators of listed firms. The 98 most actively listed companies on BSE 100 indices of Bombay Stock Exchange of India, which constitute the bulk of trading, were chosen to constitute the sample of the study as of end of 2009-10. The findings indicate the presence of highly concentrated ownership structure in the Indian market. The results of the regression analyses indicate that the dispersed ownership percentage influences certain dimensions of accounting performance indicators (i.e. ROA and ROE) but not stock market performance indicators (i.e. P/E and P/BV ratios), which indicate that there might be other factors (economic, political, contextual) affecting firms performance other than ownership structure. Keywords: Ownership structure, corporate performance, corporate governance, India1. IntroductionOwnership structure of any company has been a serious agenda for corporate governance and that of performance of a firm. Thus, who owns the firm’s equity and how does ownership affect firm value has been a topic investigated by researchers for decades. Thus, the impact of ownership structure on firm performance has been widely tackled in various developed markets and more recently in emerging markets, but was less discussed before, in India in recent changing environment. Though the modern organization emphasizes the divorce of management and ownership; in practice, the interests of group managing the company can differ from the interests of those that supply the capital to the firm. Corporate governance literature has devoted a great deal of attention to the ownership structure of corporations. Shareholders of publicly held corporations are so numerous and small that they are unable to effectively control the decisions of the management team, and thus cannot be assured that the management team represents their interests. Many solutions to this problem have been advanced, as stated previously i.e. the disciplining effect of the takeover market, the positive incentive effects of the management shareholding stake and the benefits of large monitoring shareholders. A different problem, however, arises in firms with large controlling shareholders. Since a large controlling shareholder has both the incentives and the power to control the management team's actions, management's misbehavior is a second order problem when such a large shareholder exists. Instead, the main problem becomes controlling the large shareholder's abuse of minority shareholders. In other words, holders of a majority of the voting shares in a corporation, through their ability to elect and control a majority of the directors and to determine the outcome of shareholders' votes on othermatters, have tremendous power to benefit themselves at the expense of minority shareholders. Thus, the type of owners as well as the distribution of ownership stakes will undoubtedly have an impact on the performance of firms. Most of the empirical literature studying the link between corporate governance and firm performance usually concentrates on a particular aspect of governance, such as board of directors, share holders’ activism, compensation, anti-takeover provisions, investor protection etc. This paper is a moderate attempt to examine the relationship of ownership structure and performance of firms in India.The rest of the paper is organized as follows: Section 2 discusses on the literature review, where both theoretical and empirical studies on previous works are looked into. It also incorporates the corporate governance mechanism in India. In section 3, the methodology of this study is considered. Empirical results and discussions are made in section 4, while section 5 concludes the study.2. Literature ReviewThe firm’s equity and how does ownership affect firm value has been a topic investigated by researchers for decades; however, most of the studies in this context are conducted outside of India. The study failed to document any relevant study on the topic in Indian context. Fama and Jensen (1983 a & b) addresses the agency problems and they explained that a major source of cost to shareholders is the separation of ownership and control in the modern corporation. Even in developed countries, these agency problems continue to be sources of large costs to shareholders1.Demstez and Lehn (1985) argued both that the optimal corporate ownership structure was firm specific, and that market competition would derive firms toward that optimum. Because ownership was endogenous to expected performance, they cautioned, any regression of profitability on ownership patterns should yield insignificant results. Morck. (1988) by taking percentage of shares held by the board of directors of the company as a measure of ownership concentration and holding both Tobin’s Q and accounting profit as performance measure of 500 Fortune companies and using piece-wise linear regression, found a positive relation between Tobin’s Q and board ownership ranging from 0% to 5%, a negative relation for board ownership ranging from 5% to 25%, and again a positive relation for the said ownership above 25%. It is argued that the separation of ownership from control for a corporate firm creates an agency problem that results in conflicts between shareholders and managers (Jensen and Meckling, 1976).The interests of other investors can generally be protected through contractual arrangements between the company and concerned stakeholders, leaving shareholders as the residual claimants whose interests can adequately be protected only through the institutions of corporate governance (Shleifer and Vishny, 1997). Loderer and Martin (1997) took shareholding by the insiders (i.e., director’s ownership) as a measure of ownership. Taking the said measure as endogenous variable and Tobin’s Q as performance measure, they found (through simultaneous equation model) that ownership does not predict performance, but performance is a negative predictor of ownership. Steen Thomsen and Torben Pedersen (1997) examine the impact of ownership structure on company economic performance in the largest companies from 12 European nations. According to their findings the positive marginal effect of ownership ties to financial institutions is stronger in the market-based British system than in continental Europe. Cho (1998) found that firm performance affects ownership structure (signifying percentage of shares held by directors), but not vice versa. Jürgen Weigand (2000) documented that (1) the presence of large shareholders does not necessarily enhance profitability, and (2) the high degree of ownership concentrationseems to be a sub-optimal choice for many of the tightly held German corporations. Their results also imply ownership concentration to affect profitability significantly negatively.Their empirical evidence suggests that representation of owners on the board of executive directors does not make a difference. Yoshiro Miwa and Mark Ramseyer (2001) stated with a sample of 637 Japanese firms and confirmed the equilibrium mechanism behind Demstez-Lehn. Demsetz and Villalonga (2001) investigated the relation between the ownership structure and the performance (average Tobin’s Q for five years-1976-80) of the corporations if ownership is made multidimensional and also treated it as an endogenous variable. By using Ordinary Least Squares (OLS) and Two-stage Least Squares (2 SLS) regression model, they found no significant systematic relation between the ownership structure and firm performance. Demsetz and Villalonga (2001), examined the relationship between ownership structure and firm performance of Australian listed companies. Her OLS results suggest that ownership of shares by the top management is significant in explaining the performance measured by accounting rate of return, but not significant ifperformance is measured by Tobin’s Q. However, when ownership is treated as endogenous, the same is not dependent upon any of the performance measures. Lins (2002) investigates whether management ownership structures and large non-management block holders are related to firm value across a sample of 1433 firms from 18 emerging markets .He finds that large non-management control rights block holdings (having more control rights) are positively related to firm value measured by Tobin’s Q. Michael L Lemmon and Karl V Lins (2003) use a sample of 800 firms in eight East Asian countries to study the effect of ownership structure on value during the region’s financial crisis.The crisis negatively impacted firm’s investment opportunities, raising the incentives of controlling shareholders to expropriate minority investors. The evidence is consistent with the view that ownership structure plays an important role in determining whether insiders expropriate minority shareholders. Using a sample of 144 Israeli firms, Beni Lauterbach and Efrat Tolkowsky (2004) find that Tobin's Q is maximized when control group vote reaches 67%. This evidence is strong when ownership structure is treated as exogenous and weak when it is considered endogenous. Christoph Kaserer and Benjamin Moldenhauer (2005) address the question whether there is any empirical relationship between corporate performance and insider ownership. Using a data set of 245 Germen firms for the year 2003 they find evidence for a positive and significant relationship between corporate performance, as measured by stock price performance as well as by Tobin’s Q, and insider ownership. Kapopoulos and Lazaretou (2007) tried the model of Demsetz and Villalonga (2001) for 175 Greek firms for the year 2000 and found that higher firm profitability requires less diffused ownership structure He also provides evidence that large non management block holders can mitigate the valuation discounts associated with the expected agency problem.3. Data and MethodologyThe study aims to explore the disciplinary effect of the market in a context with concentrated ownership structure and weak investor protection. The paper aims to explore if there are dominant certain types of owners of actively listed and traded companies on Indian Stock Exchanges. Further, it investigates whether the ownership type affects some key accounting and market performance indicators of listed firms. It shows that there might be other reasons that have affected the performance of the listed companies of BSE 100, other than ownership structure.The data set consists of detailed trading and financial information and indicators about the 98most actively traded BSE 100 listed companies on the Bombay Stock Exchange of India (BSE) during 2009-2010. The ninety eight companies cover a broad spectrum of sectors or industries totaling 18, which are: Finance, Oil & Gas, Information Technology, Metal, Metal Products & Mining, Capital Goods, FMCG, Transport Equipments, Power, Housing Related, Healthcare, Telecom, Diversified, Chemical & Petrochemical, Miscellaneous, Media & Publishing, Transport Services, Tourism and Agriculture. The details and proportion of these sectors in BSE 100 is given in table 1.The main financial indicators obtained from the companies financial statements included Total Revenues or Turnover, Gross Profit, Net Income or Earnings After Taxes, Current Assets, Fixed Assets, Long Term Debt and Shareholders Equity. Finally, the third subset consists of companies’ stock performance indicators obtained from CMIE PROWESS database including value traded, volume traded, number of transactions, market capitalization, market price as well as some calculated ratios using both CMIE PROWESS database as well as items reported in financial statements of sample companies such as debt to equity ratio, return on equity, return on assets, price earnings ratio and price to book value. The empirical investigation is conducted using known Ordinary Least Square Estimation methodology using both Return on Equity (ROE) and Return on Investment (ROI) variables - representing accounting performance measures, and Price-Earning Ratio (P/E) and Price to Book Value (P/BV) –representing stock market performance measures; separately as dependent variables. The following formula was used for modeling:Yij = α + xff, j + xde,j + xdph,j + xfp,j + xnpi,j + xnpni,j + ε (i)Where ε ~ ND (0, σ2)Yij : i corresponds to ROE, ROI, P/E or P/B for company j (j=1...98)xff, j : represents the percentage of free float in company j capital structure,xde,j : represents the debt to equity ratio for company j,xdph,j and xfp,j : represents the domestic promoter and foreign promoter holding in the companyxnpi,j and xnpni,j : represents non promoter institutional and non promoter non institutional holding of the company.The independent variables are represented by the percentage of Free Floated shares (FF), Debt to Equity ratio (D/E) and four variables representing promoters and non promoters stake representing the ownership structure in sampled companies, namely; Tables (2) and (3), (4) and (5) in the appendix summarize the regression analysis.4. Results and analysisThe sampled companies of BSE 100 were analyzed on the basis of their free floats and the findings are given below in table 2. Table 2 clearly depict that majority of the sampled companies have less than 75% of the free float. Even 13% companies have a free float of less than 25%. Only 13% of the companies have a free float of greater than 75%. Table three gives the details about the ownership structure of the sampled firms. Data clearly depicts that the stake of Indian promoters I the sampled company varies from 0% to 99% with a average holding of 41%. That means on an average the sampled companies are dominated by Indian promoter’s holdings. While the average foreign promoters holding is just 7.51%. That clearly confirms the belief that the Indian companies are dominated by families and promoter’s stakes. Data related with debt equity profile of sampled companies is givenThe results clearly indicates that majority of the sampled companies are in first category of 0-2 which clearly depicts that the majority of the sampled companies are not highly levered.Performance measures in the paper are represented by two sets of variables accounting measures are ROA and ROE while the market measures are P/E and P/BV ratio. Table five depicts that average ROE, ROA, P/E and P/BV values are 17.36%, 12.77%, 34.8 and 3.8 respectively.The results of OLS regression analysis are given in table 6 below. The empirical results reflect at 5% level of significance the ownership characteristic does not reflect any relationship with either accounting performance measures ROA and ROE or show any significant relationship between ownership structure and stock market indicators P/E and P/BV ratios, as shown in Table (6) below. But at 10% level of significance all sampled variables shows significant relationship with ROA, ROE, P/E and P/BV for performance of any company. Insert table (6) about here5. Findings and ConclusionThe significance of ownership characteristics and accounting performance measures i.e. ROA and ROE could be explained by the fact that the fundamental evaluation of companies, measured by, its financial indicators such as (ROA and ROE) are the most important factors used by investors in India to assess company’s performance. In India, althou gh earlier investors have culturally placed more emphasis on accounting performance measures, not stock market indicators, due to the inactivity and stagnation of the stock market for a long period (till early 1990’s). Furthermore, Indian investors always favored payment of dividends rather than stock price appreciation, due to inactivity of market. Accordingly, the dividends yield paid by Indian companies are always very high (10%-13%) compared to other emerging and developed markets (3%-5%). Thus the author did not consider dividend yield in the stock market indicators since it will be a distorted measure since issuers in India always pay a high dividends yield, sometimes, irrespective of earnings, since they are valued by investors according to dividends not price appreciation. Furthermore, the type of ownership had an insignificant impact on stock market performance measures, which might imply that the stock performance was mainly affected by economic and market conditions rather than ownership concentration. Furthermore, the results could be related to the market inefficiency of the Indian stock market, given its small and thin characteristics, as well as the lack of prompt disclosure by listed companies, even the active ones, at the Indian stock market. Stock prices therefore may not appropriately reflect the costs and benefits of diversification as shown.References[1]Beni Lauterbach, and Efrat Tolkowsky, 2004, “Market Value Maximizing Ownership Structure when Investor Protection is Weak”, Discussion Paper No. 8-200[2]Cho M H (1998), “Ownership Structure, Investment, and the Corporate Value: An Empirical Analysis”,Journal of Financial Economics, Vol. 47, No. 1, pp. 103-121.[3]Demsetz H and Lehn K (1985), “The Structure of Corporate Ownership: Causes and Consequences”,Journal of Political Economy, Vol. 93, No. 6, pp. 1155-1177[4]Demsetz H and Villalonga B (2001), “Ownership Structure and Corporate Performance”, Journal of Corporate Finance, V ol. 7, No. 3, pp. 209-233.[5]Erik Lehmann en Jurgen Weigand, Does the governed corporation perform better Governance structures and corporate performance in Germany, European Finance Review, 2000, no. 4, p. 157–195.[6] Fama, E and Jensen, M, 1983a, 1983b. Separation of ownership and control, Journal ofLaw &Economics 26, 301-325 and 327-349.[7]Jensen, M and Meckling, W, 1976. Theory of the firm: managerial behavior, agency costs, and ownership structure. Journal of Financial Economics 3, 305-360.[8]Kapopoulas P and Lazaretou S (2007), “Corporate Ownership Structure and Firm Performance:Evidence from Greek Firms”, Corporate Governance: An International Review,V ol. 15, No. 2, pp. 144-158.[9]Kaserer Christoph, and Benjamin Moldenhauer, 2005, “Insider Ownership and Corporate Performance -Evidence from Germany”, Working Paper”, Center for Entrepreneurial and Financial Studies (CEFS) and Department for Financial Management and Capital Market[10]Lins, K, 2000, Equity Ownership and Firm Value in Emerging Markets, Working paper, University of Utah.[11]Loderer C and Martin K (1997), “Executive Stock Ownership and Performance Tracking Faint Traces”,Journal of Financial Economics, V ol. 45, No. 2, pp. 595-612.[12]Michael L Lemmon, and Karl V Lins, 2003, “Ownership Structure, Corpora te Governance and Firm Value: Evidence from the East Asian Financial Crisis” The Journal of Finance, Vol LVIII No. 4, August 2004[13]Miwa Yoshiro, and Mark Ramseyer, 2001, “Does ownership matter?” Discussion Paper, University of Tokyo[14]Morck, R, Shleifer, A, and Vishny, R, 1988. Management Ownership and Market Valuation: An Empirical Analysis, Journal of Financial Economic 20, 293-315.[15]Pedersen,T and Thompson, S, 1997, European Patterns of Corporate Ownership: A twelve country study, Journal of International Business Studies, 759-778[16]Shleifer, A and Vishny, R, 1997. A survey of corporate governance. Journal of Finance 52, 737-783.译文股权结构与公司绩效: 以印度为例资料来源: 人文和社会科学国际性杂志作者: Monir Zaman摘要任何一家公司的股权结构已经成为公司监管与公司绩效的重要事项。
外文翻译--股权结果与公司绩效一个描述性探讨
外文题目:Ownership Structure,Corporate Performance And Failure:Evidence From Panel Data ofEmerging Market The Case of Jordan出处:Corporate Ownership & Control作者:Rami Zeitun原文:2. Ownership Structure and Firm Performance: a Descriptive Discussion2.1 Ownership Structure (Mix) and Firm PerformanceSince the establishment of the ASE in the 1970s,the number of listed companies,trading volume,and total market capitalisation have increased drastically.Table 1 reports the ownership structure of listed companies by sectors.Despite its privatisation program,the government still holds a large stake in Media,Utility and Energy,and Steel,Mining and Heavy Engineering companies (43.20%,33.70 %,and 22.04 %,respectively) because they are considered strategic industries.Institutional ownership is very high in transportation,real estate,and trade and commercial services and rental,and communication (44.80%,44.00%,and 36.89%,respectively).Individual citizens as a group are the largest shareholder of Educational Services,Medical Pharmacies,Textiles and Clothing,and Construction and Engineering.The largest foreign ownership stakes are in Steel,Mining and Heavy Engineering,followed by Tobacco (16.05% and 13.41%,respectively),foreign ownership is also high in the Insurance sector.Table 2 presents the basic statistics of the ownership structure for defaulted and non-defaulted firms.The individual (citizen) owns an average of 51.42 percent of defaulted firms,a figure which is larger than 45.36 percent in non-defaulted firms.The fractions of government and foreigner ownership have their lowest median in the defaulted firms,0.58 and 1.21 percent respectively,compared with 2.37 and 4.20 percent in non-defaulted firms for government and foreigner respectively.There are several notable differences.First of all,defaulted firms have a lowermedian of government ownership.Also,the median of institutional ownership is lower,as is the median of foreigner ownership.Table 2 suggests that Jordanian firms with government,institutional,and foreign ownership have a lower risk of failure (default) (in this analysis,we will concentrate on the joint factor of Arab and foreign ownership rather than taking each one separately as both of them are considered foreign owners).The next section discusses the characteristics of defaulted firms in terms of ownership concentration.Table 1. Ownership Structure by Sector2.2 Ownership ConcentrationIt was established in that the ownership structure in the ASE is highly concentrated (the median largest shareholder in Jordan is large by Anglo-American standards but within the range of those in France and Spain,20 and 34 percent respectively.Table 3 sheds more light on the ownership concentration for Jordanian companies by sectors using five measures of ownership concentration across all firm-years.The largest shareholder (C1) owns the highest percentage in the Hotel and Tourism sector and Media sector (35.32 percent and 35.50 percent respectively).The largest shareholder C1 owns the lowest percentage in the Educational sector (7.86 percent).The data also reveals that there is a substantial variation across firms and sectors in ownership concentration.Given that the holding of the largest shareholder (C1) is so large,the other shareholders are small.As shown in Table 3,the cumulative percentage of ownership tapers rapidly,and there is little difference between C3 and C5 in all sectors.The average of C3 is highest in the Media sector followed by the Transportation sector with 49.53 percent and 45.94 percent in each sector respectively.The Educational, Medical Pharmacy,Tobacco,and Paper,Glass,and Packaging sectors have the lowest ownership concentration in terms of the largest five shareholders (C5),compared with highest stake in Transportation,Media,and Trade,Commercial Services,Rental and Communication.The variation could relate to the capital required in these sectors,and also the importance of the sector,often there is high state ownership in sectors regarded as strategic.Table 4 presents the basic statistics of ownership concentration for defaulted and non-defaulted firms.Considering the median,the largest shareholder (C1) owns20 percent in the defaulted firms, a figure which is larger than the 18.86 percent in the non-defaulted firms.The largest two shareholders (C2) own 29.09 percent in the defaulted firms,a figure which is only marginally larger than 28.60 percent in the non-defaulted firms.The other measures of concentration C3,C5,and HERF are all larger in defaulted than non-defaulted firms.The data also reveals that there is a substantial variation across firms in ownership concentration:despite the high average, the largest owner’s value varies between 0 and 100 percent.In this study,we used C5 and HERF indexes as indictors of ownership concentration to investigate whether ownership concentration increased the firm’s performance and contributed to the firm’s defau lt.Table 3. Ownership Concentration by Sector:Cumulative percentage of shares controlled by4. Empirical ResultsThe analysis of the results is presented here in separate subsections.It begins with an analysis of the effect of ownership structure on corporate performance,where ownership concentration and mix are used in the analysis.The analysis then moves to examining the effect of ownership structure (mix and concentration) on corporate failure.This includes an analysis of the statistical significance of each variable.The random-effects model is used to examine the effect of ownership structure and control for the effect of industrial sectors on corporate performance.4.1 Ownership Structure and Corporate PerformanceIn order to explore the appropriateness of a random-effects model,a Breusch-Pagan Lagrange Multiplier test is conducted to determine the overall significance of these effects.According to the Breusch-Pagan test the null hypothesis is that random components are equal to zero.This test also provided support for the Generalized Least Squares (GLS) over a pooled Ordinary Least Squares (OLS) regression.In all models,the Breusch-Pagan Lagrange Multiplier test supported the use of the random-effects model.Also,the Hausman test failed to reject the null hypothesis of no difference between the coefficients of the random- and the fixed-effects models.For example,the Chi2(4) = 0.36,P=0.98 and Chi2(4) = 3.4,P=0.49 for Tobin’s Q and MBVR,respectively.Our model also contains time-invariant variables which cannot be estimated using the fixed-effects model.The overall goodness of fit (R2) for the random-effects model,using both ownership mix and concentration and industrial sector variables,is greater than the goodness of fit for the random-effects model using only ownership concentration.A general test for serial autocorrelation in panel data has been conducted using the test developed by Wooldridge (2002).The null hypothesis is that there is no serial autocorrelation for the data examined.The hypothesis is strongly accepted as ((F1,134) =0.847,P=0.3591).Therefore,our models do not have a serialautocorrelation.The overall significance of the models was tested using the Wald test,which has a Chi-square (2χ) distribution under the null hypothesis that all the exogenous variables are equal to zero.For all models,the value of the 2χstatistic is significant at least at the 1 % level of significance using ROA.The estimation results of Equation (1) are presented in Table 5 and Table 6 using the random-effects model.Table 7 and Table 8 report the results for the estimation of Equation 2.To examine the robustness of our results,the model included dummy variables to control for industry effects,and the results are reported in Appendix 1.Appendix 2 and Appendix 3 report the result of the cross-sectional analysis for the matched sample to provide more evidence on the effect of ownership structure on corporate performance.The regression model using price per share to earnings per share,ROE,is not significant and,hence,is not reported using the panel data analysis.4.1.1 Ownership Concentration ResultsFrom Hypothesis 1,the variables representing ownership concentration are expected not to have any significant impact on corporate performance.Two variables are used,C5 and HERF.From the regression results in Table 5,the variable C5 was found to have a negative and significant impact on ROA at the 10% level of significance,while it has a positive and significant impact on MBVR.The estimated coefficient of the HERF indicates that it does not have a significant impact on any measure of firm performance or value.Neither the HERF nor the C5 have any significant impact on Tobin’s Q (although the sign of the coefficient was positive in both equations).The result for Tobin’s Q and MBVR are more robust as proved by the R-square and Waled test.Hypothesis 1 is thus rejected as C5 is significantly different from zero in regressions of ROA and MBVR.As concentration is immensely different from industry to industry,this gives rise to the potential for industry effects of ownership concentration on a firm’s value(see Table 4).It can be argued that the effect of ownership concentration may be different from one industry to another.To control for potential industry effects,15 industrial dummy variables were taken and Equation (1) was re-estimated.The results,reported in Table 6,almost changed the significance of C5.The largest five shareholders,C5,becameinsignificant in ROA,while the significance of C5 increased in MBVR.Furthermore,of the 15 industrial dummy variables,only that for sector 8 was found to have a positive impact on a firm’s performance ROA.Also,all the coefficients of the industrial variables were found to have a negative and significan t impact on a firm’s value measured by Tobin’s Q.It should be noted that the significance of these industrial sectors may imply presence of industry sector.The significant impact of concentration ratios on MBVR supports the Shleifer and Vishny hypothesis (1986) that large shareholders may reduce the problem of small investors and,hence,increase the firm’s performance.The finding of a positive and significant relationship between ownership concentration and corporate performance is consistent with prior research based on advanced capital markets including Hill and Snell (1988,1989),Kaplan and Minton (1994),and Morck,Nakamura and Shivdasani (2000),among others.However,this finding is inconsistent with the result of Wu and Cui (2002) that there is a positive relationship between ownership concentration and accounting profits (indicated by ROA),but consistent with the result of Leech and Leahy (1991) and Mudambi and Nicosia (1998).The insignificant result for concentration variable in the Tobin’s Q equation cou ld suggest that the Jordanian equity market is inefficient (or there could be other factors that affect the market performance measure,which were missed in our models).These results are consistent with Abdel Shahid (2003),that ROA is the most important factor used by investors rather than the market measure of performance.外文题目:Ownership Structure,Corporate Performance And Failure:Evidence From Panel Data ofEmerging Market The Case of Jordan出处:Corporate Ownership & Control作者:Rami Zeitun译文:2.股权结果与公司绩效:一个描述性探讨2.1股权结构(组合)和公司绩效美国证券交易所自二十世纪70年代建立以来,在其交易所上市的公司的交易量及市值大幅增加。
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Capital Structure and Firm Performance1. IntroductionAgency costs represent important problems in corporate governance in both financial and nonfinancial industries. The separation of ownership and control in a professionally managed firm may result in managers exerting insufficient work effort, indulging in perquisites, choosing inputs or outputs that suit their own preferences, or otherwise failing to maximize firm value. In effect, the agency costs of outside ownership equal the lost value from professional managers maximizing their own utility, rather than the value of the firm. Theory suggests that the choice of capital structure may help mitigate these agency costs. Under the agency costs hypothesis, high leverage or a low equity/asset ratio reduces the agency costs of outside equity and increases firm value by constraining or encouraging managers to act more in the interests of shareholders. Since the seminal paper by Jensen and Meckling (1976), a vast literature on such agency-theoretic explanations of capital structure has developed (see Harris and Raviv 1991 and Myers 2001 for reviews). Greater financial leverage may affect managers and reduce agency costs through the threat of liquidation, which causes personal losses to managers of salaries, reputation, perquisites, etc. (e.g., Grossman and Hart 1982, Williams 1987), and through pressure to generate cash flow to pay interest expenses (e.g., Jensen 1986). Higher leverage can mitigate conflicts between shareholders and managers concerning the choice of investment (e.g., Myers 1977), the amount of risk to undertake (e.g., Jensen and Meckling 1976, Williams 1987), the conditions under which the firm is liquidated (e.g., Harris and Raviv 1990), and dividend policy (e.g., Stulz 1990).A testable prediction of this class of models is that increasing the leverage ratio should result in lower agency costs of outside equity and improved firm performance, all else held equal. However, when leverage becomes relatively high, further increases generate significant agency costs of outside debt –including higher expected costs of bankruptcy or financial distress –arising from conflicts between bondholders and shareholders.1 Because it is difficult to distinguish empirically between the two sources of agency costs, we follow the literature and allow the relationship between total agency costs and leverage to be nonmonotonic.Despite the importance of this theory, there is at best mixed empirical evidence in the extant literature (see Harris and Raviv 1991, Titman 2000, and Myers 2001 for reviews). Tests of the agency costs hypothesis typically regress measures of firm performance on the equity capital ratio or otherindicator of leverage plus some control variables. At least three problems appear in the prior studies that we address in our application. In the case of the banking industry studied here, there are also regulatory costs associated with very high leverage.First, the measures of firm performance are usually ratios fashioned from financial statements or stock market prices, such as industry-adjusted operating margins or stock market returns. These measures do not net out the effects of differences in exogenous market factors that affect firm value, but are beyond management’s control and therefore cannot reflect agency costs. Thus, the tests may be confounded by factors that are unrelated to agency costs. As well, these studies generally do not set a separate benchmark for each firm’s performance that would be realized if agency costs were minimized.We address the measurement problem by using profit efficiency as our indicator of firm performance.The link between productive efficiency and agency costs was first suggested by Stigler (1976), and profit efficiency represents a refinement of the efficiency concept developed since that time.2 Profit efficiency evaluates how close a firm is to earning the profit that a best-practice firm would earn facing the same exogenous conditions. This has the benefit of controlling for factors outside the control of management that are not part of agency costs. In contrast, comparisons of standard financial ratios, stock market returns, and similar measures typically do not control for these exogenous factors. Even when the measures used in the literature are industry adjusted, they may not account for important differences across firms within an industry – such as local market conditions – as we are able to do with profit efficiency. In addition, the performance of a best-practice firm under the same exogenous conditions is a reasonable benchmark for how the firm would be expected to perform if agency costs were minimized.Second, the prior research generally does not take into account the possibility of reverse causation from performance to capital structure. If firm performance affects the choice of capital structure, then failure to take this reverse causality into account may result in simultaneous-equations bias. That is, regressions of firm performance on a measure of leverage may confound the effects of capital structure on performance with the effects of performance on capital structure.We address this problem by allowing for reverse causality from performance to capital structure. We discuss below two hypotheses for why firm performance may affect the choice of capital structure, the efficiency-risk hypothesis and the franchise-value hypothesis. We construct a two-equation structural model and estimate it using two-stage least squares (2SLS). An equation specifying profit efficiency as a function of the 2 Stigler’s argu ment was part of a broader exchange over whether productive efficiency (or X-efficiency) primarily reflects difficulties in reconciling the preferences of multiple optimizing agents – what is today called agency costs –versus “true”inefficiency, or failureto optimize (e.g., Stigler 1976, Leibenstein 1978). firm’s equity capital ratio and other variables is used to test the agency costs hypothesis, and an equation specifying the equity capital ratio as a function of the firm’s profit efficiency and other variables is used to test the net effects of the efficiency-risk and franchise-value hypotheses. Both equations are econometrically identified through exclusion restrictions that are consistent with the theories.Third, some, but not all of the prior studies did not take ownership structure into account. Under virtually any theory of agency costs, ownership structure is important, since it is the separation of ownership and control that creates agency costs (e.g., Barnea, Haugen, and Senbet 1985). Greater insider shares may reduce agency costs, although the effect may be reversed at very high levels of insider holdings (e.g., Morck, Shleifer, and Vishny 1988). As well, outside block ownership or institutional holdings tend to mitigate agency costs by creating a relatively efficient monitor of the managers (e.g., Shleifer and Vishny 1986). Exclusion of the ownership variables may bias the test results because the ownership variables may be correlated with the dependent variable in the agency cost equation (performance) and with the key exogenous variable (leverage) through the reverse causality hypotheses noted aboveTo address this third problem, we include ownership structure variables in the agency cost equation explaining profit efficiency. We include insider ownership, outside block holdings, and institutional holdings.Our application to data from the banking industry is advantageous because of the abundance of quality data available on firms in this industry. In particular, we have detailed financial data for a large number of firms producing comparable products with similar technologies, and information on market prices and other exogenous conditions in the local markets in which they operate. In addition, some studies in this literature find evidence of the link between the efficiency of firms and variables that are recognized to affect agency costs, including leverage and ownership structure (see Berger and Mester 1997 for a review).Although banking is a regulated industry, banks are subject to the same type of agency costs and other influences on behavior as other industries. The banks in the sample are subject to essentially equal regulatory constraints, and we focus on differences across banks, not between banks and other firms. Most banks are well above the regulatory capital minimums, and our results are based primarily on differences at the mar2. Theories of reverse causality from performance to capital structureAs noted, prior research on agency costs generally does not take into account the possibility ofreverse causation from performance to capital structure, which may result in simultaneous-equations bias. We offer two hypotheses of reverse causation based on violations of the Modigliani-Miller perfect-markets assumption. It is assumed that various market imperfections (e.g., taxes, bankruptcy costs, asymmetric information) result in a balance between those favoring more versus less equity capital, and that differences in profit efficiency move the optimal equity capital ratio marginally up or down.Under the efficiency-risk hypothesis, more efficient firms choose lower equity ratios than other firms, all else equal, because higher efficiency reduces the expected costs of bankruptcy and financial distress. Under this hypothesis, higher profit efficiency generates a higher expected return for a given capital structure, and the higher efficiency substitutes to some degree for equity capital in protecting the firm against future crises. This is a joint hypothesis that i) profit efficiency is strongly positively associated with expected returns, and ii) the higher expected returns from high efficiency are substituted for equity capital to manage risks.The evidence is consistent with the first part of the hypothesis, i.e., that profit efficiency is strongly positively associated with expected returns in banking. Profit efficiency has been found to be significantly positively correlated with returns on equity and returns on assets (e.g., Berger and Mester 1997) and other evidence suggests that profit efficiency is relatively stable over time (e.g., DeYoung 1997), so that a finding of high current profit efficiency tends to yield high future expected returns.The second part of the hypothesis –that higher expected returns for more efficient banks are substituted for equity capital –follows from a standard Altman z-score analysis of firm insolvency (Altman 1968). High expected returns and high equity capital ratio can each serve as a buffer against portfolio risks to reduce the probabilities of incurring the costs of financial distress bankruptcy, so firms with high expected returns owing to high profit efficiency can hold lower equity ratios. The z-score is the number of standard deviations below the expected return that the actual return can go before equity is depleted and the firm is insolvent, zi = (μi +ECAPi)/σi, where μi and σi are the mean and standard deviation, respectively, of the rate of return on assets, and ratios for those that were fully owned by a single owner-manager. This may be an improvement in the analysis of agency costs for small firms, but it does not address our main issues of controlling for differences in exogenous conditions and in setting up individualized firm benchmarks for performance.ECAPi is the ratio of equity to assets. Based on the first part of the efficiency-risk hypothesis, firms with higher efficiency will have higher μi. Based on the second part of the hypothesis, a higher μi allows the firm to have a lower ECAPi for a ven z-score, so that more efficient firms may choose lower equity capital ratios.文章出处:Raposo Clara C. Capital Structure and Firm Performance . Journal of Finance. Blackwell publishing. 2005, (6): 2701-2727.资本结构与企业绩效1.概述代理费用不管在金融还是在非金融行业,都是非常重要的企业治理问题。