Based On The Weight Of Evidence Logistic Regression Model To Assess P2P Company's Credit Risk

With the rapid development of Internet technology, the combination of Internet and traditional financial instruments, has given birth to a new financing model-the P2 P net loan platform. The P2 P net loan platform links borrowers and lenders together by the Internet technology, to provide quality services to meet their borrowing requirements. In the past nearly ten years, P2 P network credit services industry had developed rapidly in the world, and it had also rapid development in the domestic industry. According to the information platform of Wangdaizhijia statistics, as of August 2015, the number of P2 P platform has reached 3259 in China and its cumulative growth rate also reached 6.54 percent. However, the amount of problem platform totaled 976 and its cumulative incidence rate also reached 29.95%. The P2 P net loan platform to flourish, but also a huge risk associated. Credit risk is the most important reason for the closure of these platforms, so the P2 P company's credit risk review and control become even more important.Taking the closure of the P2 P net loan platform as a research background, from a qualitative point of view to analyze the origin, development, risk and credit risk causes of P2 P network credit., come to the importance of P2 P network credit risk assessment and management. Then from a quantitative point of view to analyze the specific credit risk factor, related sample data will be collected into the weight of evidence logistic regression model, thus obtained applicable P2 P network platform credit risk assessment model. Finally giving some relevant suggestions based on the results of the regression model and concludes the paper. The paper is divided into six chapters: the first chapter introduces the research background, analysis of the current literature on P2 P network credit and credit risk assessment; the second chapter describes the origin and development of P2 P networks credit, via risk analysis and the causes of the credit risk analysis, come to the importance of P2 P network credit risk assessment and management; the third chapter introduces the weight of evidence logistic regression model what to build applicable the P2 P net loan platform credit risk assessment model required; the fourth chapter is the application based on the weight of evidence logistic regression models of P2 P net loan credit risk assessment; the fifth chapter is relevant suggestions base on the weight of evidence logistic regression models; the chapter 6 is the conclusion.