高盛估值方法

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金融行业中的资产估值技巧

金融行业中的资产估值技巧

金融行业中的资产估值技巧在金融行业中,资产估值技巧是一项至关重要的任务。

准确的资产估值可以为投资决策提供可靠的依据,帮助投资者更好地认识市场和风险,制定出更为科学合理的策略。

本文将探讨金融行业中的资产估值技巧,并介绍几种常见的估值方法。

一、基本概念资产估值是指根据一定的方法和理论,对金融市场上的各类资产进行估算其价值的过程。

它包括对金融资产和金融负债进行估值,以求得更为真实准确的市场价值。

资产估值对于金融机构、投资者和监管机构来说都具有重要意义,它直接影响到金融市场的稳定运行和投资者的利益保护。

二、常见的资产估值方法1. 市场比较法市场比较法是一种常见的资产估值方法,它通过比较相同或类似特征的资产交易价格,来推断目标资产的市场价值。

这种方法适用于市场上存在相似商品或资产的情况,具有简单、直观的特点。

但是,这种方法对市场交易信息的依赖程度很高,需要有足够的市场数据和交易记录作为依据,在实际应用中也会受到市场不确定性的影响。

2. 收益法收益法是一种基于资产未来现金流量预期的估值方法。

它通过对资产未来现金流量进行估计,并以折现率对这些现金流量进行贴现,从而得出资产的现值。

该方法适用于对未来现金流量预期比较准确的资产,如股票、债券等。

其中,折现率是决定资产价值的重要因素,需要综合考虑市场利率、风险溢价等因素进行确定。

3. 成本法成本法是一种基于资产取得成本的估值方法。

它将资产的价值等同于其取得成本或重新投资成本。

这种方法适用于固定资产等不易参照市场价格的资产,并且不需要对未来现金流进行预测。

然而,成本法并不能反映资产的真实市场价值,因此在实际应用中需要结合其他方法进行综合分析。

三、资产估值技巧1. 数据分析与研究在进行资产估值之前,需要深入了解所涉及资产的相关信息。

这包括对市场、行业和公司的详细调研,并收集、整理、分析相关数据。

通过对数据的深入研究,可以更全面地了解资产的内外部因素,为估值提供可靠的依据。

证券投资的企业估值与财务分析方法

证券投资的企业估值与财务分析方法

证券投资的企业估值与财务分析方法企业估值是证券投资过程中的核心环节,通过对企业的财务状况和经营能力进行全面评估,确定其价值,为投资者提供决策依据。

本文将介绍证券投资中常用的企业估值方法以及财务分析的重要指标,帮助投资者更好地理解企业价值,做出明智的投资决策。

一、企业估值方法1. 市盈率法市盈率(Price-Earnings Ratio,简称P/E)是指某只股票的市场价格与每股收益之比。

投资者可以通过比较不同企业的市盈率,判断其相对估值。

一般来说,低市盈率意味着股票相对便宜,高市盈率则表示高估。

2. 市净率法市净率(Price-to-Book Ratio,简称P/B)是指某只股票的市场价格与每股净资产之比。

通过比较市净率,投资者可以了解企业的净资产相对于市值的配置情况。

低市净率可能意味着投资价值被低估,而高市净率则表示高估。

3. 贴现现金流法贴现现金流法(Discounted Cash Flow,简称DCF)是一种基于企业未来现金流量来估算其价值的方法。

该方法将企业未来的现金流量贴现回当前价值,考虑了时间价值的因素。

DCF方法需要精确预测企业未来的现金流量,并确定适当的贴现率,是一种相对较为复杂的估值方法。

4. 相对估值法相对估值法是通过将目标企业与同行业其他企业进行比较,评估其相对竞争地位和估值水平。

常用的相对估值指标包括市盈率、市净率、市销率等,将目标企业与同行业的指标进行对比,可以更好地理解其价值。

二、财务分析方法1. 财务比率分析财务比率分析是评估企业财务状况和经营能力的重要工具。

常用的财务比率包括盈利能力比率(如净资产收益率、净利润率)、偿债能力比率(如流动比率、速动比率)、成长能力比率(如营业收入增长率、净利润增长率)等。

通过分析财务比率,可以了解企业的盈利能力、偿债能力以及成长潜力。

2. 现金流量分析现金流量表反映了企业的现金流入和流出情况,是评估企业经营状况和偿债能力的重要依据。

通过分析现金流量表,可以了解企业的经营活动、投资活动和筹资活动情况,判断企业的现金流量稳定性和支付能力。

顶级投行培训资料-高盛估值培训中文版(PPT 74页)

顶级投行培训资料-高盛估值培训中文版(PPT 74页)

稳态期 ➢增速=行业增速
=GDP增长 ➢投资收益率
=资金成本
模型最重要控制地带
18
1.2.2.3 增长模式的决定要素
现金流增长 模式
盈利能力 公司生命 周期
成长性
投资率
公司竞争 优势
行业生命周期 需求
市场结构
供给
19
1.2.2.4 行业生命周期与公司生命周期
o 决定行业生命周期的关键因 素:需求波动及供给速度
内在价值是资产未来预期产生的现金流的贴现值之和。
1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
2
1.1.1 现金流的获得方式与价值的形态
✓ 现金流获得的方式 利润:这是价值实现的最主要方式。企业经营者通过长期的持续经营创造
3 2.5
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
国债到期收益率(%) 24
1.2.3.1 股权风险溢价(ERP)
➢ 决定股票市场风险溢价的基本因素有三个
所在经济体的经济波动。 所在经济体的政治风险。 市场结构。如果在交易所挂牌的公司规模大,行业多样化且较为稳定, 股票风险溢价就会比较低。
27
1.2.3.2 回归方法计算beta
可选项
机构
计算方法 数据频率
回归计算时间段
基准指数
备注
股票所在地的主要股
二元线性回
用户自定义,缺省值为24 指(例如美国为 股票收益率不进行
Bloomberg

周收盘数据

高盛esg评价体系

高盛esg评价体系

高盛esg评价体系
高盛(Goldman Sachs)的ESG评价体系是其用于评估公司的环境、社会和治理(Environmental, Social, and Governance)因素的一套评估方法和工具。

该评价体系旨在帮助投资者了解和评估公司在ESG方面的表现,以资助投资和决策。

以下是高盛ESG评价体系的主要要素:
1. 环境因素评估:这部分评估主要关注公司的环境管理、能源和碳排放、水资源管理、废物管理、自然资源管理等方面。

评估指标包括碳排放量、能源效率、水资源利用效率、废物处理方式等。

2. 社会因素评估:这部分评估主要关注公司与员工、供应商、客户和社区的关系,以及公司的慈善和社会责任活动。

评估指标包括员工满意度、雇佣歧视、供应链管理、客户满意度、社区投资等。

3. 治理因素评估:这部分评估主要关注公司的治理结构、董事会结构、股东权益保护、内部控制等方面。

评估指标包括董事会独立性、股东权益保护机制、内部审计和风险管理等。

高盛的ESG评价体系还包括相关的数据收集和分析工具,以帮助投资者获取和分析公司的ESG数据。

此外,高盛还通过与其他数据提供商和ESG评级机构合作,提供ESG评级报告和分析,以帮助投资者更好地了解公司的ESG表现。

需要注意的是,高盛的ESG评价体系仅供参考,并不能保证
公司的ESG表现和可持续发展的长期业绩。

投资者应该综合考虑多方面的因素,并进行适当的尽职调查,以做出明智的投资决策。

高盛银行估值报告内容

高盛银行估值报告内容

高盛银行估值报告内容
高盛银行的估值报告通常包含以下内容:
1. 历史财务数据分析:包括高盛银行过去几年的收入、利润、资产负债表和现金流量等财务指标的分析。

这有助于评估高盛银行的财务表现和趋势。

2. 产业和市场分析:对全球银行业和金融市场的概览和分析,了解高盛银行所处的竞争环境、市场机会和风险。

这包括对行业趋势、监管政策和市场参与者的研究。

3. 估值模型:使用不同的估值模型(如股票市盈率、市净率、现金流折现等)对高盛银行进行估值。

这些模型将考虑公司的未来收益和现金流量预测以及相关的风险因素。

4. 盈利预测和展望:根据分析师的预测和产业趋势,对高盛银行未来几年的盈利情况进行预测,包括收入增长、利润率、市场份额等。

5. 风险评估:对高盛银行面临的各种风险进行评估,包括市场风险、信用风险、操作风险等。

这有助于投资者了解高盛银行可能面临的潜在问题和挑战。

6. 潜在投资机会:根据估值和风险评估,报告可能提供一些投资建议和观点,如是否应该购买、持有或卖出高盛银行的股票。

请注意,估值报告的具体内容可能会因为不同的编制机构、分
析师和市场条件而有所不同。

每个估值报告都应根据特定的投资目标和背景进行研究和评估。

高盛-经典估值模型

高盛-经典估值模型

2007E 39.50% 72.20%
0.05% 7.49% 4.39% 32.73% 18.95%
2007E 22.26%
33.36
3.54 165.61
82.27
37.36 2.65% 0.00% 3.65% -0.09%
0.00%
0.00%
0.00%
0.00%
0.00% 0.00% 0.00% 0.00% 1.29% 0.00%
a、假定固定资产采用直线法折旧 b、现有固定资产和新建固定资产的折旧年限平均为
残值率为 5.00%
年折旧率=
12

7.92%
2006E 22.26%
33.36
3.54 165.61
82.27
37.36 2.65% 0.00% 3.65% -0.09%
0.00%
0.00%
0.00%
0.00%
0.00% 0.00% 0.00% 0.00% 1.29% 0.00%
一般情 景预测 1、经 营活动
主营业务收入同比增长率
主营业务成本 /主营业务收入
主营业务税金及附加 /主营业务收入 (营业税率)
营业费用 /主营业务收入
管理费用 /主营业务收入
实际税率
股利分配比例
2004 24.39% 74.20%
0.04% 7.68% 4.56% 33.84% 10.48%

2005 41.47% 77.78%
预计银行长期贷款增加额(万元)
22.26% 6.00% 5.50% 1.35%
2004 420.00
2005 1,830.00
2006E 1,500.00
2007E 0.00

投资机构对企业的五种估值方法

投资机构对企业的五种估值方法

投资机构对企业的五种估值方法我们将该系列文章分享给大家,用案例现身说法,为大家介绍在私募股权投资中使用的以下五种估值方法:风险收益法,比较法,净现值法,调整后现值法和期权估值法。

该系列文章主要供高成长企业参考,我们先来看这类企业在进行融资时通常会暴露出的一些问题:比较长的一段时期负向现金流,业务情况具有高度不确定性,但预期未来回报十分诱人。

抛开纷繁芜杂的各种表象不谈,不论是何种项目,它未来回报的正向现金流是所有估值假定的基础。

一、风险收益法:A同学是秀红资本的合伙人,他在2013年发现并跟进了“二百六”科技有限公司。

该公司自称是由多名拥有海外留学背景的高学历人才创立的一家致力于X产业的高科技企业。

经过一段时间实际考察,A同学和“二百六”科技的管理层达成投资意向,代表秀红资本期望获得20-30%左右的股权(关于普通股和优先股的问题,结合投票权又涉及比较复杂的投资模型和不同国家地区的法律和监管适配,本文一律以普通股作为投资标的),根据投资额的不同,可以浮动。

而“二百六”科技需要的资本额大致在2000万到4000万之间,而经过秀红资本的内部讨论,其认可的现金出资额度大致在3000万元,然后A同学负责实施,计划在2014年投资3000万元人民币至“二百六”科技。

他正在考虑应该要求一个多大的股权份额并进行谈判。

双方大致认可如下事实:公司可以长期正常运营,虽然几年内亏损但是业务能够持续增长,不过即使公司未来可以赚无数的钱,双方讨论决定以第5年的预测数据亿元人民币利润做为评估基础。

而目前市场上为数不多,但一直盈利的该行业同等规模类似的非上市企业平均市盈率为15倍. 现在“二百六”科技有2千万股由多名管理层和原始投资人持有,以此标的进行增资扩股进行投前估值和投后估值的计算。

出于对3000万元投资所面对的风险,A同学坚持要求至少50%的目标回报率。

随后做出以下计算:结论:投入3000万现金,持有投后公司25%的普通股。

投资企业的14种估值方法与10种常用方法

投资企业的14种估值方法与10种常用方法

投资企业的14种估值方法与10种常用方法一、14种估值方法:1.市盈率法(PE法):即企业市值与其盈利能力的比例。

市盈率越高,说明市场对于企业未来的盈利能力越看好。

2.市净率法(PB法):即企业市值与其净资产的比例。

市净率越高,说明市场对于企业的资产质量及稳定性越看好。

3.市销率法(PS法):即企业市值与其销售收入的比例。

市销率越高,说明市场对企业的营收增长潜力越看好。

4.市现率法(PCF法):即企业市值与其自由现金流的比例。

市现率越高,说明市场对企业的现金流稳定性越看好。

5.比较市场交易法(CMT法):即通过对比类似企业的市值和其他财务指标来确定估值。

6.换手率法(TO法):即企业的估值与其资产总额的比例。

换手率越高,说明市场对于企业的活跃度越看好。

7.价值链法(VC法):根据企业在产业链中所处的地位与角色来进行估值。

8.成本法(CB法):即以企业的资产原值为基准进行估值,不考虑企业未来的盈利能力。

9.储备价值法(RV法):即以企业的储备资源和技术水平为基础进行估值。

10.税后净现值法(NPV法):以企业的未来现金流入流出作为基础,考虑税后净现金流的折现率,计算出企业的净现值。

11.收益法(IRR法):以企业投资回报率为基础,计算出项目的内部收益率。

12.资本资产定价模型(CAPM法):考虑了企业的风险,通过计算企业所需的资本成本来确定估值。

13.EVA法:以经济附加值为基础,计算企业的价值增值能力。

14.DCF法:以企业的未来现金流为基础,考虑折现率计算企业的价值。

二、10种常用方法:1.盈利能力分析:分析企业的营业收入和净利润的增长情况。

2.资产质量分析:分析企业的资产负债状况和资产结构。

3.相对估值法:通过对比企业与同行业的其他企业的估值指标来确定估值。

4.直接估值法:通过企业自身的财务数据来确定估值。

5.未来现金流预测法:根据企业未来几年的现金流预测来确定估值。

6.企业成长性分析:分析企业的市场、产品和技术等成长性因素。

黑石的战斗力,基本和大摩高盛是一个级别,不是九鼎投资能比得了的

黑石的战斗力,基本和大摩高盛是一个级别,不是九鼎投资能比得了的

黑石的战斗力,基本和大摩高盛是一个级别,不是九鼎投资能比得了的昨晚被朋友圈里搞笑的九鼎估值刷屏了。

那个帖子的大意是说:管理资产规模不到300亿人民币的新三板第一妖股九鼎投资——不知道中科招商服不服他们自己只排第二妖哈——以4.79倍的P/AUM (市值/资产管理规模),在新三板上逆天估值1000亿。

而黑石(Blackstone)拼死累活地管着3327亿美元,市值也就只有185亿美元,折合人民币约1000亿。

九鼎这事儿笑笑就过了,不能多说,有时候嘴巴说瓢了,还会让闷头发财的鼎晖躺枪。

今天来说说真正的老大哥黑石集团和它的真实战斗力。

这里有一篇老文章,介绍了这位华尔街赚钱大王的成长历程。

仅以06年美国纽交所的数据显示,其盈利高达22.7亿美元,年增长率为71%。

按此计算,黑石集团每位员工为公司赚了295万美元,是华尔街最赚钱的投资银行——高盛集团的9倍,黑石成为华尔街最能赚钱的公司。

在华尔街,有两个如雷贯耳的名字,皮特·彼得森(Peter Peterson)和史蒂夫·施瓦茨曼(Stephen Schwarzman)。

他们是黑石集团的共同创始人,现年81岁的彼得森担任集团的高级主席,60岁的施瓦茨曼则出任主席和CEO。

黑石之所以如此成功,可以说是两位元老各自禀赋的完美结合,华尔街的人比喻说,年富力强的施瓦茨曼坚韧不拔的毅力和充沛的精力是黑石这部庞大“生财机器”得以顺利运转的“发动机”,老谋深算的彼得森在政界及金融界游刃有余的外交手腕和深厚的人脉资源则是黑石的“润滑剂”。

巨资豪赌EOP、希尔顿黑石总是在刷新私募股权基金收购金额的新纪录。

2007年情人节的前一天夜晚,施瓦茨曼迎来了他60岁的生日,他豪掷300万美金为自己办了一场盛大的派对,纽约城金融界、政界和演艺界的数百位名流们,身着正式的礼服,前往曼哈顿公园大道参加了他的生日宴会。

就在数天之前,黑石集团刚刚以395亿美元的价格,完成了它对全美最大的房地产信托基金EOP(Equity Office Properties Trust)的收购,这笔交易超过了2006年的HCA收购案—一个由PE组成的财团以330亿美元的价格收购了美国一家医院连锁运营商,成为当时有史以来最大的一宗杠杆收购交易。

金融行业中的资产估值技巧

金融行业中的资产估值技巧

金融行业中的资产估值技巧在金融行业中,资产估值是一项至关重要的技巧。

准确地估计资产的价值有助于投资者做出明智的决策,降低投资风险。

本文将介绍金融行业中常用的资产估值技巧,以及其在实践中的应用。

一、市场价格法市场价格法是最常用的资产估值方法之一。

它基于市场供求关系和交易活动来确定资产的价值。

通过分析资产在市场上的实际买卖价格,结合相关的市场数据和交易情况,可以得出资产的市场价值。

这种方法特别适用于流动性高、市场活跃的金融产品,如股票、债券等。

二、收益法收益法是估值资产时的另一种常用方法。

该方法基于资产产生的未来现金流量来确定其价值。

投资者可以通过对资产预期收益率的估计和现金流量的贴现计算,得出资产的现值。

这种方法在估值高风险或不易买卖的金融资产时特别有效,如私募股权、房地产等。

三、成本法成本法是资产估值的第三种常用方法。

它基于资产的成本和折旧来确定其价值。

根据资产购买和维护的实际成本,再加上相应的折旧和摊销,在一定的时期内计算资产的价值。

这种方法适用于实物资产、固定资产等,特别是在缺乏市场数据情况下使用。

四、市场比较法市场比较法是一种快速估算资产价值的方法。

它通过比较类似资产在市场上的交易价格,找到一个合理的参考范围,进而估计资产的价值。

这种方法常用于房地产、土地、艺术品等非标准化资产的估值。

五、实物拍卖法实物拍卖法是一种特殊的资产估值方法。

它通过将资产进行拍卖,根据市场的竞价情况来决定其价值。

该方法适用于独特、稀缺的资产,如艺术品、珍稀物品等。

以上是金融行业中常用的资产估值技巧。

每种方法都有其优势和适用范围。

在实际应用中,根据资产的特性和市场情况,选择合适的估值方法非常重要。

此外,准确收集和分析市场数据,了解资产的基本面和风险因素也是进行资产估值的关键。

总结起来,金融行业中的资产估值技巧是投资者必备的工具之一。

准确估计资产的价值,可以帮助投资者更好地了解市场风险和投资回报。

通过市场价格法、收益法、成本法、市场比较法和实物拍卖法等多种方法的综合应用,可以提高资产估值的准确性和可靠性。

PE,PS,PEG,PB四种相对估值法给企业估值

PE,PS,PEG,PB四种相对估值法给企业估值

PE,PS,PEG,PB四种相对估值法给企业估值
PE,PS,PEG,PB四种相对估值法,对应四种不同类型的公司。

而不是把四种方法综合起来,不然就乱了。

具体如下:
一、现金牛企业用PE估值
现金牛企业,经营现金流超过净利润或者接近净利润,高ROE,拥有市场竞争壁垒,比如茅台,伊利,美的格力之类的股票,适合用PE来估值。

合理PE水平是国债利率的倒数。

比如目前国债利率5%,合理的PE就是1/5%=20倍。

如果是竞争壁垒低一些,则要打个折,比如五粮液,九阳,15倍左右就相对合理。

二、PS有两种用法
纵向对比:用于衡量高利润率波动的周期性企业,产品需求稳定,但价格随着供给的变化而发生较大的波动。

比如化工股,原材料厂商。

分析方法一般是和股票自身历史PS相对比。

PS在低位,说明产品利润率在低位,这时候介入赔率就很高。

如果在高位,即使PE很低,也可能面临风险,记住大宗商品类企业是强周期波动的。

PS也适合用于横行对比:高研发投入的企业,经营产生的利润需要大量地拿去用于研发支出,所以用PE估值就不准确了。

因此对生物科技公司,投入期的互联网公司,可以用PS来横行进行估值对比。

三、PEG适用于保持稳定增长的成长股。

比如过去十年中国的大部分行业,处于一个年化30%以上的增速,所以A股长期在30倍PE,比成熟市场高很多,也是有道理的。

四、PB适用于强周期的资源,钢铁和重化工企业以及金融。

PB回到历史底部位的这些企业,实际上买的是一个行业反转期权,在戴维斯的谷底等待双击,具备较高的赔率。

创建于2019.2.21。

EVGCI估值高盛经典估值方法详解

EVGCI估值高盛经典估值方法详解

EV/GCI估值EV/GCI这种估值方法正在高盛亚洲研究开始推广,经过多年的实践检验,该方法可以更加有效地评估上市公司的合理估值水平,我们最新的中国零售和中国有色行业报告中都采用了该种估值方法,中国零售行业分析师Joshua 利用该估值方法对中国消费股进行了回归检验;结果显示,自2006 年以来利用EV/GCI 估值方法在零售行业筛选股票买入低估股票,卖出高估股票可以获得46 %的超额收益,利用该方法在日常消费品行业筛选股票可以获得51 %的超额收益。

基本思想:股票估值与企业相对盈利能力正相关。

方法的关键在于没有采用传统的PE 、PB 或EV/EBITDA 等方法来表现股票估值,而采用EV/GCI 的方法代表股票估值(下面详细介绍)。

第一步:计算EV/GCIEV (企业价值Enterprise Value )=Market value of Equity + Debt – cash企业价值实际上是一种市场价值概念,减去现金的原因是闲置现金不能为企业创造价值。

GCI (总现金投资Gross Cash Invested )= Gross tangible/intangible assets + Operating Working Capital + Other investments-Accounts Payable=有形资产+ 无形资产+ 运营资本(流动资产- 流动负债)+ 其他投资- 应付账款GCI 总现金投资实际上是一种有能力创造回报的账面价值概念,EV/GCI 是一种市场价值/ 账面价值(粗略想像成P/B ),体现了合理资产估值。

第二步:计算CROCI/WACCCROCI ( 投入现金的现金回报率)Cash Return on Cash Invested = DACF/Average GCIDACF ( 债务调整后现金流) = Cash Flow from Operations - Change in Working Capital + After Tax Interest Expense + (E&P Exploration Expense= 经营性现金流- 运营资本变化+ 税调后的利息费用+ (勘探与生产费用)CROCI/WACC 体现的是公司的盈利能力= 超出资本要求收益率的盈利能力,理论上讲企业的盈利能力与资产估值水平呈正相关关系。

金融投资中的资产定价与估值方法

金融投资中的资产定价与估值方法

金融投资中的资产定价与估值方法在金融投资领域,资产定价与估值是非常重要的环节。

准确的资产定价和估值方法可以帮助投资者获得更好的投资回报,并在风险控制上起到关键作用。

本文将介绍金融投资中常用的资产定价和估值方法。

一、股票定价与估值方法1. 相对估值法相对估值法是通过与其他同行业或同类企业进行比较,确定股票相对于其他股票的价值水平。

常用的方法有市盈率法、市净率法和股利折现法。

市盈率法通过比较公司的市盈率与同行业的市盈率,确定股票的相对价值;市净率法则是比较公司的市净率与同行业的市净率;股利折现法则是依据公司未来能够分配的股利,对股票进行估值。

2. 价值投资法价值投资法是一种基于企业价值的投资方法。

该方法认为股票的价值取决于公司的内在价值,即企业的盈利能力、发展潜力和竞争优势。

通过对公司基本面的深入研究,确定股票的内在价值,并依据股票的市场价格和内在价值之间的差异进行投资。

二、债券定价与估值方法1. 直接估值法直接估值法是一种常用的债券定价方法,基于债券的现金流量进行估值。

该方法使用债券的面值、票面利率、到期时间和市场利率等参数,计算债券的现值,并按照现值确定债券的价格。

直接估值法适用于固定利率债券和零息债券等类型。

2. 利率敏感性分析利率敏感性分析是一种通过分析债券价格与市场利率之间的关系,进行风险评估的方法。

该方法通过对债券价格的敏感性进行分析,确定债券在不同市场利率环境下的价格波动情况。

利率敏感性分析可以帮助投资者评估债券投资的风险和回报。

三、衍生品定价与估值方法1. 期权定价模型期权定价模型是一种衍生品定价方法,用于确定期权合同的合理价格。

常用的期权定价模型有布莱克-斯科尔斯模型和二叉树模型等。

这些模型基于市场价格、期权到期时间、标的资产价格和波动率等因素,计算期权的理论价值,并根据理论价值对期权进行定价。

2. 期货定价方法期货定价方法是一种通过对期货合约的现金流量进行估值的方法。

常用的期货定价方法有无风险套利法和成本理论法等。

高盛-经典估值模型

高盛-经典估值模型

29,228.00 5,401.79 23,826.21 141.00 23,685.21 1,857.00 14,509.00
36,982.50 7,902.86 29,079.64 141.00 28,938.64 1,857.00 7,754.50
41,359.75 10,666.56 30,693.19 141.00 30,552.19 1,857.00 4,377.25
2,500.00 3,719.00 1,518.00 2,797.00 70.00 470.00 0.00 -126.00 34.00 377.00 171.00 0.00 11,530.00 2,170.00 0.00 393.00
7,771.00 6,940.00 3,484.00 3,968.00 266.00 223.00 0.00 -3.00 46.00 550.00 170.00 0.00 23,415.00 4,000.00 401.00 649.00
0.00 23,991.31 0.00
0.00 25,414.85 0.00
0.00 7,398.00 0.00 0.00 0.00 0.00
0.00 26,134.00 0.00 0.00 0.00 0.00
0.00 25,839.00 151.00 151.00 151.00 0.00
0.00 0.00 34,984.67 151.00 151.00 151.00
40,051.21 189.00
38,550.14 168.00
36,786.44 147.00
34,861.43 126.00
32,825.75 105.00
172.00 0.00 499.00 17,287.00

投资企业的14种估值方法及10种常用方法

投资企业的14种估值方法及10种常用方法

投资企业的14种估值方法及常用十种估值方法许多传统的天使投资家投资企业的价值一般为200万-500万,这是有合理性的。

如果创业者对企业要价低于200万,那么或者是其经验不够丰富,或者企业没有多大发展前景.1、500万元上限法。

这种方法要求天使投资不要投一个估值超过500万的初创企业.这种方法好处在于简单明了,同时确定了一个评估的上限.2、博克斯法.这种方法是由美国人博克斯首创的,对于初创期的企业进行价值评估的方法,典型做法是对所投企业根据下面的公式来估值:一个好的创意100万元。

一个好的盈利模式100万元。

优秀的管理团队100万-200万元。

优秀的董事会100万元。

巨大的产品前景100万元。

加起来,一家初创企业的价值为100万元-600万元。

3、三分法。

是指在对企业价值进行评估时,将企业的价值分成三部分:通常是创业者,管理层和投资者各1/3,将三者加起来即得到企业价值。

4、200万—500万标准法。

许多传统的天使投资家投资企业的价值一般为200万-500万,这是有合理性的。

如果创业者对企业要价低于200万,那么或者是其经验不够丰富,或者企业没有多大发展前景;如果企业要价高于500万,那么由500万元上限法可知,天使投资家对其投资不划算。

这种方法简单易行,效果也不错.但将定价限在200万—500万元,过于绝对。

5、200万—1000万网络企业评估法.网络企业发展迅速,更有可能迅速公开上市,在对网络企业进行评估时,天使投资家不能局限于传统的评估方法,否则会丧失良好的投资机会.考虑到网络企业的价值起伏大的特点,即对初创期的企业价值评估范围由传统的200万—500万元,增加到200万—1000万元。

6、市盈率法。

主要是在预测初创企业未来收益的基础上,确定一定的市盈率来评估初创企业的价值,从而确定投资额.7、实现现金流贴现法.根据企业未来的现金流,收益率,算出企业的现值作为企业的评估价值。

这种方法的好处是考虑了时间与风险因素.不足之处是天使投资家应有相应的财务知识。

投资企业的14种估值方法及10种常用方法

投资企业的14种估值方法及10种常用方法

投资企业的14种估值方法及10种常用方法估值是指对一个企业、项目或资产的价值进行评估和确定的过程。

对于投资者而言,准确的估值是进行投资决策的基础。

以下是常用的14种企业估值方法和10种常用的估值方法。

一、14种企业估值方法:1.净资产法:根据企业的净资产价值来进行估值,公式为估值=净资产。

2.市盈率法:根据企业的市盈率来确定估值,公式为估值=净利润×市盈率。

3.市净率法:根据企业的市净率来确定估值,公式为估值=净资产×市净率。

4.贴现现金流量法:根据企业未来的现金流量来进行估值,公式为估值=未来现金流量×折现率。

5.估算收益法:根据企业未来的收益情况来进行估值,公式为估值=未来收益×估价收益率。

6.EBITDA法:根据企业的EBITDA(息税折旧摊销前利润)来进行估值,公式为估值=EBITDA×估价倍数。

7.成本法:根据企业的建设或复制成本来进行估值,公式为估值=建设或复制成本。

8.市场交易法:根据类似企业的交易价格来进行估值,公式为估值=类似企业的交易价格。

9.市销率法:根据企业的市销率来进行估值,公式为估值=销售收入×市销率。

10.市现率法:根据企业的市现率来进行估值,公式为估值=现金流量×市现率。

11.利润法:根据企业的利润来进行估值,公式为估值=利润×估价倍数。

12.现金流量法:根据企业的现金流量来进行估值,公式为估值=现金流量×估价倍数。

13.成长法:根据企业的成长性来进行估值,公式为估值=年度成长收入×市销率。

14.消费者调研法:根据消费者对企业产品的需求和认知情况来进行估值。

二、10种常用的估值方法:1.相对估值法:通过对比相似企业的估值指标来确定估值。

2.盈利能力法:通过对企业的盈利能力进行分析来确定估值。

3.股权法:根据企业的股权结构和股东权益来进行估值。

4.损益表法:根据企业的损益表来进行估值。

读书笔记我在高盛的经济预测法

读书笔记我在高盛的经济预测法

读书笔记我在高盛的经济预测法(作者:Joseph H. Ellis)序言我的简评:为什么这本书值得一读?——很简单、很清楚、很实用①用很清楚很简明的语言和框架,说明了美国各宏观经济指标间的关系,从而告诉读者如何进行经济预测。

②作者Joseph H. Ellis,从业35年,并且连续18年被评为华尔街第一零售业分析师。

拥有足够的能力、经验和视野。

第一章理解经济的每个细节经济预测的两大错误:①将衰退作为经济增长减缓的度量标准,即经济连续两个季度出现下降②与前上季度或上月相比,即采用环比注意:衰退是经济增长减缓的滞后指标。

消费支出和其他经济驱动因素的增长率达到顶峰并开始回落时,股票市场的大部分损失就已经形成。

增长率的下降通常领先于衰退1年。

时间顺序:1、领先指标(1)通货膨胀、个人单位时间收入(2)个人实际单位时间收入、利率2、同步指标(3)实际消费支出、股票市场0-9个月(4)工业生产、公司利润0-6个月3、滞后指标(5)实际资本支出、就业6-12个月贸易赤字的影响:其他国家持有美元国债的总额增加,美元相对于其他货币疲软,利率大幅上升,投资者进一步购买美国债务第二章掌握经济运行其中:1、个人消费支出、PCE、Personal consumption expenditure个人消费支出PCE=耐用品+非耐用品+服务反映了工业生产活动消费支出能代表最终销售2、国内私人投资、GPDI、Gross private domestic investment国内私人投资GPDI=建筑+设备软件+住宅+私人存货变化反映了中间产品的价值3、政府消费和投资、Government spending不可能发生剧烈波动,但可以带来很大的刺激反映了中间产品的价值4、商品和服务净出口、Net imports and exports预测消费支出:1、个人实际单位时间收入、individuals’ real average hourly earnings2、就业、employment第三章重新界定经济滑坡经济预测的两大错误:①将衰退作为经济增长减缓的度量标准,即经济连续两个季度出现下降②与前上季度或上月相比,即采用环比经济滑坡的4个阶段:峰顶适度减缓利率、通货膨胀率升高经济增长率适度减缓,消费支出、公司利润增速放缓资本支出和就业强势增长股市下跌5-10%担忧加剧利率、通货膨胀率继续升高实际消费支出、实际GDP增速下降:5-6%下降至2-3%资本支出和就业仍然强劲股市继续下跌10%衰退到来实际GDP绝对量下降、公司利润大幅减少资本支出和就业下降股市止跌回升第四章纠正传统的衰退观点时间顺序:1、领先指标(1)通货膨胀、个人单位时间收入(2)个人实际单位时间收入、利率2、同步指标(3)实际消费支出、股票市场0-9个月(4)工业生产、公司利润0-6个月3、滞后指标(5)实际资本支出、就业6-12个月1968-1970经济衰退:实际GDP、S&P500收益实际PCE工业生产实际资本支出、失业率2000-2002经济衰退:实际PCE实际GDP、工业生产S&P500收益实际资本支出、失业率ROCET:rate of change economic tracking关注:经济增长率的拐点第五章巧妙地经济追踪方法采用同比:使用与上年相比的方法,衡量变化率并绘制图标移动平均:计算每个月的增长率时,硬测算近3个月比上年同期的增长率两条曲线:在图中绘制两条曲线,一条代表原因,另一条代表结果第六章领先指标的性质领先指标与滞后指标:1、根据领先指标的走势,预测滞后指标2、寻找两个数据序列的相关性(不一定要是因果性)第七章消费支出驱动经济需求链实际消费支出(PCE)→工业生产(0-6个月)→实际资本支出(0-6个月)产成品→中间产品→原材料:周期性影响增大,波动增大第八章消费支出、公司利润和股票市场实际消费支出→公司利润、S&P500每股收益(0-3个月)实际PCE同比增长率接近谷底,股票市场下行结束,反转上升滞后于实际PCE的经济指标,同比增长率仍然在底部时,熊市就已经结束实际消费支出1、领先指标个人实际单位时间收入利率2、同步指标消费者信心指数消费借款3、滞后指标资本支出就业第九章预测消费支出消费能力来源:1、个人收入工资和薪水消费支出的主要来源2、个人财富企业分红、投资收益、住房增值变现需要时间,不是主要来源消费者心理滞后于实际PCE,难以用于预测第十章实际收入:经济的动力之源个人收入中,工资和薪水是驱动消费支出的主要因素实际单位时间收入:领先指标单位时间收入增长率—消费价格增长率=实际单位时间收入增长率实际单位时间收入,领先实际PCE,6-12个月就业与借款↑→消费能力↑→实际单位时间收入增长率↑通货膨胀↑→消费价格增长率↑→实际单位时间收入增长率↓第十一章就业与失业就业:滞后指标就业,滞后实际PCE,3-6个月单位工人收入×就业数=工资和薪水总和→实际PCE实际单位时间收入增长率+就业增长率=实际PCE增长率第十二章利率、通货膨胀和经济周期通货膨胀驱动贴现率贴现率是实际PCE的领先指标(0-9个月)第十三章利率和股票市场利率影响股票市场:1、影响宏观经济增长率→公司利润2、股票股市(PE)贴现率上升是熊市的征兆贴现率上升,PE下降,股价下跌贴现模型:Price=Dividend/WACC贴现率(R f)↑→WACC↑→Price↓PE=Price/Earnings,Price↓→PE↓第十四章美国政府赤字和利率的关系利率是资金的价格非金融债务总额↑→利率↑第十五章行业或公司的预测周期分析的适用范围:不适合国防、能源行业不适合卫生保健、医药、教育不适合服装、娱乐不适合成长速度很快的行业,如计算机、软件、生物科技两个案例:(1)化工产品:实际PCE→工业生产(2)室内装饰品:住房成交量→销售额实际单位时间工资增长率,是消费支出(零售销售)的领先指标住房成交量增长率,是家具、地毯、窗饰等家居用品的领先指标第十六章改变经济学的教学内容时间顺序:1、通货膨胀、个人单位时间收入2、利率、个人实际单位时间收入3、借款消费、实际PCE、股票市场0-9个月4、工业生产、公司利润0-6个月5、实际资本支出、就业(岗位数)6-12个月附录A 信贷对消费支出的影响就业与信贷↑→消费借款↑→实际PCE↑美国借款者居多(总储蓄与总借款之差较小),信贷对实际PCE有杠杆效应只有当年新增的借款能够用于消费支出新增借款的增长率(未清偿债务的二阶导数)→消费支出信贷影响实证分期付款信贷,影响1-2个百分点借款与就业共同发挥作用,并且都是实际PCE的之后指标附录B 方法是否适用于其他国家。

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PortfolioStrategyA valuation anchor for EquitiesWe introduce GS DDM, a new approach to valuing equity marketsglobally, to sit alongside our other regional valuation models. We takethree approaches to fair value: 1) Fair Value under our current centralassumptions, applying current bond yields and estimated ERP. 2) FairValue adjusted for current ‘fair value’ bond yields using our Sudokubond model. 3) Equilibrium Value, assuming the ERP and bond yieldsrevert to long run averages.Estimating 'fair value' using a DDMIn Part I we develop a model that: 1) is estimated in the same way ineach major region to establish a benchmark for ‘fair value’; 2) lendsitself to reverse engineering – assessing what assumptions the marketis ‘implying’. We look at the sensitivity of fair values to changes in theunderlying assumptions. In our forthcoming Part II, we will extend thisanalysis to forecast the ERP and market levels.Substantial undervaluation from 'equilibrium'Our analysis shows that, using current central assumptions, mostmarkets are undervalued by between 3% and 15% with Europe themost undervalued. Using our ‘fair value’ Sudoku bond yieldassumptions instead of current yields increases the undervaluation inall regions. In all cases, an assessment of ‘equilibrium’ valuation, basedon assuming the ERP reverts to a long run average and using a longrun ‘trend’ real yield of 2% shows substantial undervaluation of 71% forEurope, 36% in the US, 31% in Asia ex Japan and 13% in Japan.Fair value and upside/(downside)Ce n tra l S ce n a rio Usin g S u do ku Fa irV a lu e Bo nd m od e lUsin g e qu ilib riu m ERP* a n d2% re a l in te re st ra teCu rre n t Le ve lFa irV a lu eL e ve lF a ir V a lu eUpsid e /(Do w nsid e)F a irV a lueL e ve lFa ir V a lu eUp sid e /(Dow n sid e)F a ir V a lueLe ve lF a ir V a lu eUpsid e /(Do w nsid e)US (S&P 500)84694111%94312%115236% Eu ro p e (S to x x 600)19522415%27441%33371% Ja pa n (T O P IX)7868093%91616%88613% Asia (M S CI AP x J)2662774%NA NA34931%* We estimate equilibrium ERP at 3% for all regions (4% for Asia).Source: Goldman Sachs Global ECS Research. Peter Oppenheimer+44(20)7552-5782 | peter.oppenheimer@ Goldman Sachs InternationalJessica Binder, CFA+44(20)7051-0460 | jessica.binder@ Goldman Sachs InternationalAnders Nielsen+44(20)7552-3000 | anders.e.nielsen@ Goldman Sachs InternationalGerald Moser+44(20)7774-5725 | gerald.moser@ Goldman Sachs InternationalSharon Bell, CFA+44(20)7552-1341 | sharon.bell@ Goldman Sachs InternationalThe Goldman Sachs Group, Inc. does and seeks to do business with companies covered in its research reports. As a result, investors should be aware that the firm may have a conflict of interest that could affect the objectivity of this report. Investors should consider this report as only a single factor in making their investment decision. For Reg AC certification, see the end of the text. Other important disclosures follow the Reg AC certification, or go to /research/hedge.html. Analysts employed by non-US affiliates are not registered/qualified as research analysts with FINRA in the U.S.Executive summary• We introduce a 4-stage dividend discount model that is estimated in the same way ineach major region. This is used as a valuation anchor for international comparison. •In generating results from GS DDM, we have taken three approaches. 1) ‘Fair value’ today using our central scenario (how should we think of equities relative to current bond yields?). 2) ‘Fair value’ today using ‘fair value’ bond yields, based on our Sudoku model (how should we think of equities assuming bonds were fairly valued in the current environment?). 3) ‘Equilibrium value’ using long run average real bond yields and ERP (how much of the current valuation gap is due to the fact that the discount rate is higher/lower than normal?).•We estimate that the upside to ‘fair value’ given the current economicenvironment and bond yields is, 15% in Europe, 11% in the US, 4% in Asia ex Japan and 3% in Japan .• Adjusting the ‘fair value’ for current ‘fair value’ bond yields increases the undervaluation in all equity markets.•On a long run ‘Equilibrium Value’ basis we find an upside to fair value of 71% in Europe, 36% in the US, 31% in Asia ex Japan and 13% in Japan. We estimate the upside to long run equilibrium fair value by using a real interest rate of 2% and an equity risk premium of 3% (except in Asia ex Japan where we use 4%) in our dividend discount model.•Exhibit 2 shows that the deviation of market values from long runequilibrium levels tend to close over time. One percentage point of additional upside to fair value at the beginning of the year on average increases the total return during the year by 0.3 percentage points (Exhibit 3). Exhibit 3 also shows that the upside to fair value explains 15% of the variation in yearly returns.Exhibit 1: GS DDM “fair-value” and “equilibrium” levelsCe ntra l S ce na rioUsing S udoku Fa ir V a lue Bond m ode l Using e quilibrium ERP * a nd2% re a l inte re st ra te Curre nt Le ve l Fa ir V a lue Le ve l Fa ir V a lue Upside / (Dow nside )Fa ir V a lue Le ve l Fa ir V a lue Upside / (Dow nside )Fa ir V a lue Le ve lFa ir V a lue Upside / (Dow nside )US (S &P 500)84694111%94312%115236%Europe (S tox x 600)19522415%27441%33371%Ja pa n (TO P IX )7868093%91616%88613%Asia (M S CI AP x J)2662774%NANA34931%Source: Goldman Sachs Global ECS Research.Exhibit 2: S&P 500 reverts to fair value over timeExhibit 3: Deviations from fair value predicts returns-60%-40%-20%0%20%40%60%Jan-89Jan-92Jan-95Jan-98Jan-01Jan-04Jan-07UndervaluedOvervalued-50-40-30-20-1001020304050-60-40-202040Upside to lo ng run fair value (%)R e t u r n o v e r t h e n e x t y e a r (%)Source: Datastream, Haver analytics, Goldman Sachs Global ECS ResearchSource: Factset, Haver analytics, Goldman Sachs Global ECS ResearchFinding a ‘fair value’ anchor for equities; Introducing GS DDMValuing equity markets is always controversial because any chosen approach relies onassumptions. Equally, valuation is not the only driver of markets. Markets can stay aboveor below theoretical ‘fair’ value for long periods of time. Nevertheless, using a standard,easily comparable, valuation model that provides an ‘anchor’ to fair value and can be usedto compare across markets can help to identify opportunities and risks; it can also be usedas a forecasting tool. At the very least, it might also shed some light on the kinds ofassumptions that implicitly need to be made in order to justify deviations from equilibriumvaluation over time.Across the regions, GS Strategists use a variety of different tools and measures to assessvalue. The importance given to any particular approach varies by region and over time,according to the structure of the market and the stage of the cycle. Our interest here wasnot to replace these models but to supplement them with a single approach that can beapplied globally, providing a guide to ‘fair value’ using an assessment of current driversand also as a guide to ‘equilibrium’ – the fair value level of the market assuming that theEquity Risk Premium converges to the long run average and real bond yields are at theirlong run trend.Two approaches to valuationWe introduce a common basis for the global valuation of equities with GS DDM (dividenddiscount model). In each region, we monitor and forecast with several different types ofvaluation tools. These include earnings based multiples (cyclically adjusted), dividend andfree cash flow yields, book valuations, relative valuations against competing assets and anumber of other approaches. For each market we also have a dividend or earningsdiscount model.However, many of these models are used as a guide to valuing the market in isolation atany time, rather than to compare across markets or focus on an intrinsic ‘fair value’.Across the Global Economics, Strategy and Commodities Research Group (ECS) we have,over time, developed a number of valuation tools intended to generate a measure of‘equilibrium’ value for each asset class. These can be thought of not so much as a specificforecast for a market but more as a valuation ‘anchor’. The advantage of these is that theycan provide useful warning signals when markets become very stretched relative to theunderlying fundamentals. Furthermore, they provide a framework for understanding whatkinds of assumptions investors would need to make at any time to justify current marketlevels if they are significantly away from fair value.These models include our Sudoku model for the bond markets and GSDEER for foreignexchange markets. In this paper we highlight a new dividend discount model approachthat we have developed with the aim of providing an internationally comparable valuationanchor for equities.In effect there are two ‘approaches’ to equity valuation models, both of which we introducein a new approach to valuing equity markets globally.• A ‘fair value’ approach: by fixing specific inputs, such as the equity risk premia, onecan back out a ‘fair value’; this approach is helpful in providing a valuation anchor.• A ‘forecast’ approach: using a fair value to generate an expected future price level.Valuation as a ‘fair value’ guideOur intention in this paper, Part I of a two part series, is the following.•To have a model that is estimated in the same way in each major region so that aconsistent benchmark for ‘fair value’ can be established. In this way we can comparevaluations across regions and also relative to history.•Develop an approach that lends itself to reverse engineering – assessing whatassumptions the market is ‘implying’. This can be particularly useful at turning pointsor periods when the market appears to have deviated materially from ‘fair value’. If amarket appears expensive, then what kinds of assumptions would be required in orderto justify such valuations?•To generate an assessment of ‘Fair Value’ for the market by applying assumptionsabout it (bond yields, ERP, earnings etc).•To establish an ‘Equilibrium Level’ level for the markets by assessing the ‘fair value’assuming that the ERP converges to a long run average level and real bond yields areat their long term trend.Valuation as a forecast toolThe forecast returns approach attempts to assess how quickly the convergence of prices tofair value is likely to happen. In a separate report, Part II of our Valuation series, we intendto invert the fair value model presented in this paper to back out the ERP required toequate market levels to the theoretical fair value. By doing this at different points in timewe generate a time series of the implied equity risk premium. We then analyze therelationship of the premium with macroeconomic variables, allowing us to forecast theERP and, therefore, market levels.Setting out the frameworkWe considered several valuation approaches to find the one that might be useful for thisexercise. One distinction when comparing valuation tools is whether to value the equity orthe enterprise value, another is to consider models based on cash flows, returns ormultiples.Cash flow models focus on cash flow to equity holders – dividends or flows to equity anddebt holders – free cash flow. Returns models focus on the capital stock and the spreadbetween the return and the cost of capital.For the purposes of this exercise we focus on equity holders and are interested in adiscount model rather than a multiple model so that we can more easily test assumptionsand scenarios when markets deviate from ‘equilibrium’. It is for this reason that we settledon a DDM approach. The model that we have chosen covers the US (S&P 500), Europe (DJStoxx 600), Japan (TOPIX) and Asia (MSCI Asia-Pacific ex Japan).The model is based on four ‘phases’ and assumes that a proportion of earnings are paidout each year as dividends. The length of the phases and the proportion of value for theS&P 500 index that falls in each phase are given in Exhibit 4.Exhibit 4:Model time linePhase I Phase II Phase III Phase IVFinancial years% of total value5%5%23%67%Source: Goldman Sachs Global ECS Research.Phase I: Forecast growth – years 1 and 2We use our top-down estimates for operating earnings growth for year 1 and year 2. For each year, we adjust the previous year’s payout ratio by a factor that relates to the forecast growth rate (for example if earnings are expected to rise rapidly, we assume that last year’s payout ratio falls moderately as dividends are more stable than earnings).Phase II: Fade to trend ROE – years 3 and 4We assume that the market gets back to trend ROE by the end of year 4 and that the earnings change to achieve this occurs equally over the two years. In a normal part of the cycle this may not result in very different growth in earnings from an average year but at major turning points it could result in quite a large jump in growth in either direction. Having an assumption that gets back to a long-term trend is important. Without it, for example, a model could imply ongoing growth from an unsustainably high (or low) level following a boom (or collapse) in profits. Growing from an unsustainable high or low level of profits would alter the implied fair value materially.Phase III: Long-term growth rate – years 5-20We assume that profits grow at their trend rate of growth (equal to the long-term real economic growth rate plus inflation) but assume that the proportion paid out by companies over this period equals the average of the past 5 years.Phase IV: The terminal valueWe assume that any profits growth in perpetuity is offset by a commensurate change in the payout ratio; this way we ensure that the return on equity is equal to the cost of equity and profits grow in line with trend real GDP.Other key assumptions for current ‘fair value’In order to calculate a fair value, we also need estimates for the following.•Risk-free rate: We use the current 10-year bond yield for each of the regions (for Asia we use a cap-weighted average).•Inflation: We have settled on a 5-year moving average of core inflation as the most stable and consistent measure of “expected future” inflation that is easily measurable in each region.•ERP: While we intend to model the ERP separately in our valuation ‘forecast’ paper, we cannot use the results of that model as an input into the DDM because it becomes circular (the DDM ‘fair values’ are used to extract the historical series of ERP).Consequently, we are constrained to making an assumption for the ERP in this model.This is an important limitation since we cannot observe the required ERP directly at any time. For the purposes of our central assumptions used in our assessment ofcurrent ‘fair value’, we make an assessment about the current appetite for risk, and chose an ERP by reference to the long run ERP series from our ERP model (to bediscussed in detail in a follow up report). Currently, for example, we use an ERP of 5%for the developed markets and 6% for Asia, which is in the top quartile of the historical distribution. While changing the assumption for the ERP can make big differences to the output of the model, we examine the sensitivities to these assumptions later in this report. While we do make an assumption about the ERP for our central caseassessment of fair value, we also assess the ‘equilibrium’ level of the market byassuming the ERP and real bond yields are at their long run average.All the assumptions are summarized in Exhibit 5:Exhibit 5:Summary of assumptions for our central scenarioEarningsFY1-5%-16%-37%-15%FY231%8%-3%17%FY33%3%9%5%FY43%3%8%5%Payout RatioFY141%54%67%40%FY238%54%48%38%FY339%56%43%38%FY440%58%39%38%Year 5-2032%41%34%35%ROE14%13%6%15%Long termInflation2%2%1%4%Real Growth3%3%2%4%10 year bond3%3%1%5%ERP5%5%5%6%Source: Goldman Sachs Global ECS Research.What the model says nowIn generating results from GS DDM, we have taken three approaches.1. ‘Fair Value’ today using our central scenarioSuppose the bond markets are right and the ERP is where we think it belongs in this kindof environment, where would you expect fair value for stocks to be? (How should we thinkof equities relative to current bond yields)2. ‘Fair Value’ today using ‘fair value’ bond yields (based on our Sudoku model)Suppose the bond markets are themselves at fair value and the ERP is where we think itshould be, where would you expect fair value for stocks to be? (How should we think ofequities assuming bonds were fairly valued in the current environment)3. ‘Equilibrium Value’Suppose the discount rate (both the real bond yield and ERP) was at its average historicallevel, where would you expect fair value for stocks to be? (How much of the currentvaluation gap is due to the fact that the discount rate is higher than or lower than normal).Fair Value under central scenarioTaking the final results form our model, explained in more detail below, the ‘fair value’central scenario levels and percentage upside currently are shown in Exhibit 6.Exhibit 6:DDM equity ‘fair value’ based on central scenarioCurre nt Le ve lFa irV a lueLe ve lFa ir V a lueUpside /(Dow nside)US (S&P 500)84694111%E urope (S tox x 600)19522415%Japan (TO P IX)7868093%A s ia (M S CI A P x J)2662774%Source: Goldman Sachs Global ECS Research.All four markets are trading below fair value but the upside is limited. This is because the valuation is taking into account the current weak economic environment by using an equity risk premium of 5% for all markets except Asia ex Japan, where we use 6%. The upside to fair value is substantially higher if economic assumptions consistent with long run equilibrium are used. Under such assumptions the upside to the European market is 71% for example (see further discussion of this below).This analysis is in line with other work from Goldman Sachs strategists, where we have argued that markets are currently attractively valued but that other criteria are needed to be satisfied in order for that value to be unlocked. Specifically, risk premia need to be reduced.In recent work, many of our strategists have written about conditions that may need to change in order for the long term fair value to be unlocked in a sustained recovery. We believe three key criteria are the following.•Evidence that economic activity is stabilizing. In this regard we focus on our proprietary indicators such as the GLI and the Financial Conditions Index (as ameasure of policy efficacy) as a guide to a shift in the first and second derivative of growth.•We also expect to see evidence of the market absorbing disappointing data, both macro economic and company specific, without a negative price reaction.•We have argued that an improvement in the credit markets is also required as a prerequisite for a sustained recovery in equities since, on a risk adjusted basis, parts of the credit market have overshot fair value even more than equities (see for example our report of November 14, 2008, Strategy Matters: Credit versus equity: Credit offers better value). Again, in this regard, recent improvements in our Financial DistressIndex are also encouraging.Fair Value, adjusting for Sudoku ‘fair value’ bond yieldsOne of the issues that may affect the current fair value of equities is the bond yield. In the central case assumptions that we have used in the fair value levels shown in Exhibit 6, we applied the current 10-year bond yields as our risk free rate. In practice this gives some advantage to the US where real rates are much lower. Some investors argue that it is the bond market that is ‘mis-priced’ (particularly given growing supply risk) and that this distorts equity valuation measures that use the bond yield as an input. Our bond strategists do not believe this to be the case (see Bond Snapshot January 26, 2009) but as a cross check, we also show the current equity ‘fair values’, based on our fundamental assessment of ‘fair value’ in the bond market using the results of our Sudoku bond fair value model. While we do not have estimates for Asia, the conclusions are broadly the same for equities in general: equity markets are currently attractively valued. Europe’s fair value upside, in particular, rises sharply to 30% when we apply our fair value bond estimates.Exhibit 7:DDM equity ‘fair value’ based on Sudoku bond modelCurre nt Bond Yie ld Fa ir V a lueUpside /(Dow nside)S udokuBondYie ldFa ir V a lueUpside /(Dow nside)US(S&P500) 2.9%11% 2.9%13% E urope (S tox x 600) 3.5%15% 2.6%30% Japan (TOP IX) 1.3%3%0.9%16% A s ia (M S CI A P x J) 4.9%4%NA NA Source: Goldman Sachs Global ECS Research.Establishing a long run ‘Equilibrium Value’In the above ‘fair value’ calculations, we use current bond yields (or those adjusted by our ‘fair value model) and an assessment about current risk appetite. As discussed above, probably the most controversial input into this model is the ERP. In the central assumptions we plug in an ERP that relates to a band in relation to long run averages. If we think that uncertainty is high (as we do currently) we input an ERP in the highest quartile of historical patterns and vice versa when the market is trending and growth is robust. The advantage of this approach is that it gives an idea about what fair value is at the moment by using an ERP that is reasonable given the current economic environment.Arguably, however, this adds a further layer of subjectivity. We can think of two sensible alternatives that help pin down this issue, which each illuminate different issues. The first is to try to model more formally what an appropriate ERP "should" be given a particular economic environment. This is one of the things our follow up report: Part II will address. The second is to think about what the fair value of the market would be if economic conditions were to reach long run equilibrium. We consider an ERP of 3% and a real bond yield of 2% as reasonable benchmark case. Using those assumptions, Exhibit 8 shows how fair value has fluctuated over time.Exhibit 8: GS DDM, US equilibrium value% deviation form ‘fair value’ assuming fixed ERP at 3% and real bond yield of 2%-60%-40%-20%0%20%40%60%Jan-89Jan-92Jan-95Jan-98Jan-01Jan-04Jan-07Undervalued OvervaluedSource: Datastream, Haver analytics, Goldman Sachs Global ECS Research.While we do not explicitly use the deviation from equilibrium fair value as a forecasting tool, a good measure of equilibrium fair value should have the property that market values tend to move towards the equilibrium value over time. Exhibit 9 shows the yearly return of the S&P 500 index plotted against the deviation from long run fair value at the beginning of the year. The R 2 shows that 15% of the variation in yearly returns over time can beexplained by the market’s deviation from fair value at the beginning of the year. The slope coefficients shows that for each 1 percentage point increase in upside to equilibrium fair value at the beginning of the year, returns during the year increase by 0.3 percentage points.Exhibit 9:Returns are higher when the upside to fair value is large at the start of the year-50-40-30-20-1001020304050-50-40-30-20-1010203040Upside to long run fair value (%)R e t u r n o v e r t h e n e x t y e a r (%)Source: Factset, Haver analytics, Goldman Sachs Global ECS ResearchComparison of approachesThe three approaches are compared in Exhibit 10.•On current assumptions, all markets are undervalued, with the Europe being the most attractive and Japan and Asia the closest to fair value.•By applying an assessment of current ‘fair value’ bond yields as defined by our Sudoku model, the broad conclusions remain the same though the undervaluation of European equities becomes significantly larger.•Assuming the ERP (which we believe is currently unusually high) reverts to a long run average of 3% in the developed markets and 4% in Asia and using a trend average real bond yield, all markets are substantially undervalued. The range of undervaluation is from 13% in Japan to 71% in Europe.Exhibit 10:Fair value and upside/(downside)Ce ntra l S ce na rio Using S udoku Fa irV a lue Bond m ode lUsing e quilibrium ERP* a nd2% re a l inte re st ra teCurre nt Le ve lFa irV a lueLe ve lFa ir V a lueUpside /(Dow nside)Fa irV a lueLe ve lFa ir V a lueUpside /(Dow nside)Fa ir V a lueLe ve lFa ir V a lueUpside /(Dow nside)US (S&P 500)84694111%94312%115236%Europe (S tox x 600)19522415%27441%33371%Ja pa n (TO P IX)7868093%91616%88613%Asia (M S CI AP x J)2662774%NA NA34931%* We estimate equilibrium ERP at 3% for all regions (4% for Asia)Source: Goldman Sachs Global ECS Research.Sensitivities to assumptionsWhile the model helps to identify the potential upside or downside to ‘fair value’, it is verysensitive to changes in inputs and structure. But how much do changing assumptionsmatter and which variables are the most sensitive? In the section we examine theseassumptions and sensitivities in more detail.Near-term earnings expectations Phase IHow do you measure earnings?The first phase of the model is an explicit forecast period based on our own top downoperating profit assumptions generated from our regional profit models (details can beobtained on request). We assume that earnings revert to the historical trend rate of growthby the end of 2012 (Phase II).Exhibit 11: Short-term earnings growth expectationsFY indicates fiscal year. For Europe, US and Asia, fiscal years end December 31. For Japan,fiscal years end March 31.Earnings growth assumptionsFY1FY2FY3 and FY4CAGR Trend ROE US-5%31%3%14%Europe -16%8%3%13%Japan -37%-3%8%6%Asia-15%17%5%15%Source: Goldman Sachs Global ECS Research.Given how the model is set up, changes in near-term earnings expectations do not affectfair value to a very large extent, since we assume that earnings recover to trend by the end of the fourth year in the model. Exhibit 12 shows the impact on fair value in Europe, as an example, of changes in the assumptions for earnings growth in fiscal years 1 and 2 (out to 2010).Our current assumptions for the DJ STOXX 600 are for operating profits to fall 16% this year and to rise by 8% in 2010. As with many other markets, these numbers may be heavily distorted by financials for this year. For example, our top down model assumes that financial earnings rise by 29% this year after a fall of 47% in 2008 (mainly as a result of lower writedowns). However, we do not have much confidence in these numbers given the uncertainty over banks writedowns currently. Excluding financials, we assume earnings fall 30% this year. If we assume that this is true for the market as a whole, and the recovery in 2009 is still 8% from that lower level, it implies that the market is close to fair value (10% upside).Exhibit 12: Sensitivity of fair value for European market to short-term earnings forecasts shading represents current estimatesN o m i n a l F Y 1 e a r n i n g s g r o w t hSource: Goldman Sachs Global ECS Research。

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