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文献出处:Paprzycki R. The study on credit risk of internet automobile finance [J]. Hi-Stat Discussion Paper, 2016,20(1):133-145

原文

The study on credit risk of internet automobile finance

Paprzycki R

Abstract

Related studies have shown that in a car's life cycle, 60% of the profits W is provided by the circulation and after-sales service links such as, production can contribute to the profits of only 40%.And, according to new huaxin international information consulting company, auto financing has developed rapidly, while the data show that the vehicle sales profit decline year after year, but contrarian, auto financing its share of the contribution to the industry rise year by year, profits accounted for more than one 5, a solid contribution. Auto financing abroad originated in 1920 years or so, so far, has been the development of mature, become the western auto financing industry one of the key profit growth point.

Keywords: Internet, auto financing, credit risk

1 Introduction

Networking auto financing in rapid development at the same time also faced with some problems, bear the brunt of the credit risk. With no currently form perfect Internet auto financial risk management system, the Internet car more financial risk management theory research is included in the auto industry theory and financial theory, there is no complete theoretical system. Auto financing as an emerging industry, its application and practice than theory study. And scholars for the study of the theory of the auto financing, more focused on the development present situation, macroscopic policy and government regulation, etc.Financial development situation of this article is based on vehicle and Internet financial hotspot, analysis of auto financing credit risk problem, explore the auto financial institutions to break the traditional method of financial credit limited, on the basis of this puts forward relevant policy Suggestions.

In September 2014, j.d. power Asia Pacific company issued the 2014 China auto dealers financial satisfaction research practice SM (DF qiao report, report for China's auto finance industry is studied, had disclosed auto financing permeability send a index, points out that the index since 08 W to rise year by year. At night at the same time, points out that China's auto finance business accounted for about 15%, and control the development course of auto financial industry in the developed countries, this index is around 70% is reasonable, this means that our country auto financing business development space is huge. In 2015, according to the China association of automobile manufacturers based on historical data and calculates the relevant statistics, the present development of China's auto financing market scale in 2025, after W after 10 years development, will hit a staggering 530 billion yuan or so.

2 Literature review

For automotive finance related theory research is based on the perspective of risk control, Arthur Williams' enterprise was introduced in detail in the daily economic activities, it faces various risks and all sorts of insurance against risks. The COSO committee through the research report of form, points out the five elements of internal control of enterprise, and refined, based on the five elements, the establishment of a company's risk control classic model, has been the major audit firms as table, after the completion of the relevant still in use.

For auto financing: an empirical study of credit risk, mainly including the case analysis and model analysis, case analysis with Paul vomit Banner, he found, through a case study of gm multiple holding companies for the parent company for promotional means of diversity, including financing, loans and other services provided to clients, also through the way of sale of new financial products, and these incentives make each holding company relaxed its own credit risk control, defaults, has a negative effect on the credit markets, so as to make the financial market systemic risk is greatly increased.

Based on this, he analyzed the holding financial companies for the influence of the real economy. And model analysis have David Durand, he constructed the credit scoring model, and puts forward using this model to evaluate the probability of

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