The Research Of The Affect Factors Of Borrower Credit Risk In P2P Network Platform Lending Based On The Model Of Logit

P2P(peer-to-peer network borrowing)is a kind of the help of a professional e-commerce network platform,by lending to each other between individual and individual microfinance transactions.P2P lending because of the low threshold,is mainly engaged in unsecured borrowing and lending is relatively transparent,micro,small and medium enterprises and individuals.Especially after the 2008 financial crisis in the United States a few years,in the traditional financial institutions financing the depressed at the same time,the development of network lending wave continues to increase.As the fast development of Internet financial on Internet financial products,the P2P lending default rate on the credit risk has become the focus of all people and society,the high credit risk become the biggest bottleneck network lending their own development.Choice model based on the sorting,excel VBA based data mining technology,write a macro program,fixed pull data over the web,respectively from the first domestic lending to P2P network platform,clap lending site,and the current development of the best sites-everyone intercept loan credit web site data,selected the borrower's personal characteristic information(age,gender,history records)loan,the borrower transaction characteristic information professional,borrowing purpose(the borrower),platform evaluation information(credit rating,the size of the loan,interest rate,loan term,monthly payments)and borrowers bidding information(the winning number,flow mark,four aspects as information data,and using the Logit model to network loan borrowers,we made empirical analysis on the influence factors of credit risk.The results showed that:(1)there is a significant positive correlation between the profession and the borrower credit risk.The greater the borrower career more stable,its credit risk.(2)there is a significant positive correlation between the borrower records and the borrower credit risk.There is a significant positive correlation between the purpose and the borrower credit risk.Borrower of information more real,borrowing the stronger the motivation reliability,the smaller the borrower's credit risk.(3)there is significant negative correlation between the credit risk and the borrower credit rating.Borrowers loan scale is negatively related to the borrower credit risk,interest rate and monthly payments and the borrower credit risk are related.(4)there is a significant positive correlation between the winning number and the borrower credit risk;Borrowing crowds the number with the borrower credit risk exists significant negative correlation relationship.Borrowers are more active in the platform,have greater credit risk.In this paper,the research's results,not only prevent P2P network platform provides the new ideas to the credit risk of loan,but also can provide perfect our P2P network industry government loan new empirical evidence.