The Research On The Effect Of Platform Credit Rating To The Success Rate Of P2P Financing

In recent years, with the development of global economy, depends on P2P network of WEB2.0 borrowing more and more attracted the attention of people. Since the emergence of P2P platform while its rapid development in China, but also there is a low success rate of financing.Internet peer-to-peer lending transaction process is the borrower first show your personal information and data, then by lending platform web site for some information and data, and finally the investor whether rating analysis to make investment decisions. As a result, the investor and platform website most pays attention to is by the borrower’s personal information and data, to identify and determine the borrower information, and carries on the rating, so as to improve the success rate of financing, this also is to earn profits and make the key to the further development of the P2P lending.Based on this, this article through the establishment of the game theory model, this paper discusses whether the platform ratings in both cases the impact on the success rate of P2P financing situation, and get the following conclusions:(1) the investor is willing to know each other is based on capital contribution to the borrower credit rating (by the platform to the rating of the borrower), and under the precondition of income level, and have higher request for the borrower’s credit rating. (2) by the platform of the borrower, sifting of investors can reduce the cost, this will be increased to a certain extent the investor willingness to pay and indirectly improve the borrower to P2P platform financing success rate; (3) the borrower has a certain credit risk generally, such as in adverse information conceal, forge, and so on and so forth; (4) for borrowers, whether the payment on time lending rates by P2P platform and the comprehensive effects of bank loan interest rates, will directly cause the borrower not reimbursement ratio increased.At the same time, the first company in China based on P2P lending platform site, on loan in December 2013, the real transaction data as sample, using two methods of binary response model regression to empirically the factors that influence the P2P funding of research, and get the following empirical conclusions:(1) the loan details description words, the more financing success rate reduce instead; (2) the loan amount, interest rate, term and historical failure frequency and financing success rate was significantly negative relationship, and the historical success number, gender, work and platform rating and certification and financing the success rate was significantly positive correlation, age and financingThe influence of the success rate is not directly; Rating (3) platform to promote financing success in all biggest variable coefficient, namely their impact on the success rate of financing is the largest. At the end of the paper put forward some improve success rate of P2P financing related policy suggestions, including improve the level of P2P platform rating and funders related Suggestions of the investment will.In this paper, research on financing of P2P platform ratings success, not only for the borrower, the investor, platform operators have important reference value, more to the development of the P2P lending market has brought the corresponding actual value and strategic significance.