Product Competition And Government Control Research Of P2P

With the development of the Internet financial in our country,it has powerfully promoted the development of China’s financial industry and also has a promoting effect on interest rate marketization.Because the main objects of banks that are major lenders are customers who have big capital demand,P2P provides the channel of fund for customers who have small capital requirements.The research focuses on the influence of loan information on success rate of borrowings,ability to predict results and borrowing rate.According to results,what the government should do to keep P2P lending healthy.In theory, by establishing the signal transmission model and the signal screening model, it is showed the loan project comprehensive score helps to reduce the adverse selection and moral hazard in the case of asymmetric information. From the perspective of empirical analysis, with the data and information from Chinese P2P network lending platform-PPDAI that is a pure online and pure credit platform without guarantee,this research divides the list of PPDAI into safety receivable loans, non-withdrawals loans, overdue compensation loans and common loans, using binary logistic regression model and ROC to conclude that with risk increasing, investors require not only borrow credit information of borrowers, but also loan credit information of borrowers. At the same time,investors need more and more specific information.Moreover,information is meaningful for prediction of borrowing result.According to theoretical and empirical research conclusions, the opinion of the government regulation is put forward.