P2P Lending Borrower Credit Risk Assessment Indicators Research

P2P lending is an Internet-based network and independent thinking outside the formal financial system lending transaction mode.As of the end of December 2015 the number of P2P network operators lending platform has reached 2595,total turnover has reached 982.3 billion.Excessive growth of the platform,the lack of effective regulation,is an important factor leading to the risk of P2P net loan platform frequent incidents and problems increased.Coupled with sustained domestic economic structure adjustment in depth,slowdown in economic growth,the economic impact of increased downward pressure on credit risk exposure P2P net loan industry continues to rise.P2P lending platform network profit by business risk,the risk management technology is the core competitiveness of P2P net loan platform,but also in the main line of development has been through P2P net loan industry for some time.The reason this paper produced from the credit risk of loans to start P2P network,combined with the actual situation of P2P net loan,by choosing "renrendai" posted on the website of the article 19780 successful target as sample,using statistical analysis,correlation analysis and Logistic regression model analysis the P2P lending in the borrower's default factors,can be found that the borrower's education,monthly income,loan interest rate,loan term,number of successful borrowing,number of overdue and field certification with the borrower has significant effect between the probability of default,and by Logistic regression models to more accurately predict the borrower default probability,using Logistic regression model for P2P network loan borrower credit risk measurement is feasible and reliable.Based on the current development of P2P networks and lending issues and the results of empirical analysis,we found the factors that affect the borrower defaults.Then,we proposed the prevention and control of the network of loan default P2P networks countermeasures to promote our country better and faster lending P2P networks development of.