Study On The Borrower Credit Risk Influence Factors Of P2P Network Lending In China

The P2P network lending since 2007 development so far in our country, regardless of the number of platforms, the volume or the number of participants showed explosive growth, such a fierce competitive environment also led to the P2P from the most original, single and unsecured micro credit loan mode, and gradually evolved into all kinds of modes by vertical subdivision. To a certain degree, the rise of P2P network lending industry in our country really alleviate the financing difficulties and the difficult problem of the investment among the people,also regarded as a great innovation in the financial sector, but the risk of loss, closure and even abscond with the money etc. has always existed, This not only makes the vast number of investors suffered huge losses, but also extremely detrimental to the healthy and sTable. development of the industry.In this paper, P2P as the research object, I will give a summarize about the classification of P2P network lending operating mode in our country from three angles, analyze the main risk points of P2P network lending, and in view of the development status and risk situation of P2P network lending in China were also analyzed. And then, based on the angle of the borrower’s credit risk, according to get real transaction data from the PPDAI platform, through descriptive statistical analysis and using the Logistic econometric model to study on the borrower credit risk influence factors of P2P network lending, then concludes that the borrower’s age, gender, credit rating, loan amount, annual interest rate and loan repayment period with repayment default probability and credit risk is positive correlation significantly, and the borrower’s marital status, education, the situation of residential and car buying with the default probability of repayment and credit risk is negative correlation significantly. At the same time, according to the results of this study to further precaution the borrower’s credit risk and puts forward some policy suggestions.