A Research Of User Behavior And Credit Investigation About Peer-to-Peer Lending Platform

With the rapid development of Internet technology,it is gradually penetrate into all aspects of economic areas.The growing public demand for micro-loans has given birth to an Internet financial model--P2P lending.On July 18,2015,People's Bank of China issued the "Guiding Opinions on Promoting the Healthy Development of Internet financial" has defined P2P lending platform as a new financial model which based on the network platform to bring together investors and borrowers to complete loan projects.P2P lending platform as the information agency,only to provide information interaction,matching,credit evaluation and other third-party core services.By the end of August 2015,the P2P lending platform amounted to 3259,up to 674 new platform in the first half.By the end of September 2015,the whole loan turnover amounted to 115.92 billion CNY,with the significant growth of the industry volume,historical cumulative volume has reached 9787 billion CNY.According to the statistics,by the end of September 2015,total issue platform reaches 1031.The reason is probably divided into two categories: the lack of relevant laws and regulations,regulatory,platform their own problems.Platform their own reasons not to be underestimated,the defect in credit reference makes P2P platform appears borrower's bad debts which caused the platform to face a difficult operating environment or even close.Therefore,this article put forward the feasible measures to the credit investigation of P2P platform,which make up for the lack of research in borrower's credit reference of P2P platform.This article provide new ideas and suggestions to P2P platform to prevent risks,improve platform borrower's credit.First of all,through a detailed description of characteristics of domestic and foreign typical P2P platform in platform operation mode and user credit investigation mode,problems in credit investigation of P2P platform are proposed.Secondly,analysis the data of paipaidai.For the lender behavior,the result of binary logistic regression analysis shows the lenders existence of herd behaviors when making investment decisions,pointing out the shortcomings of the platform at borrower's credit.In terms of the borrower,the result of CHAID decision tree analysis shows the housing situation and the number of bids has a strong correlation to whether borrowers overdue behavior,this given the key point for a platform at the time of credit investigation.Finally,proposed platform should take advantage of big data to get more information about borrower,and introduce the model of Acquaintances guarantee to the existence of deficiencies of P2P platform in borrower credit investigation.While P2P credit investigation association should also be set up,and guide the exchange of borrowers credit data between different platforms,in order to prevent risk effectively.The format of the Chinese Abstract is what follows: Song Ti,Small 4,justified,2 characters indented in the first line,line spacing at a fixed value of 20 pounds,and paragraph spacing section at 0 pound.The format of the English Abstract is what follows: Times New Roman,Small 4,justified,not indented in the first line,line spacing at a fixed value of 20 pounds,and paragraph spacing section at 0 pound with a blank line between paragraphs.