Research On Credit Risk Evaluation Of P2P Lending In China

Recently years, according to the sharply development of Internet financial and push out the plan of "Internet+", it is promote the combination between Big Data, Cloud Computing, Mobile Internet, Internet of Things and other industries. And it is also promote the inclusive finance to diversity. The most important is it changed people’s mode of life and people’s pattern of consumption.However, P2P network credit as a typical example in Internet financial area, and also provide more opportunities and more conditions to join in the financial market for the investors. P2P credit lending has become from personal lending at first developed to personal-company or company-personal and others different styles of lending. But the P2P credit lending what we always said is a network platform which is concentrated on the intermediary services of Internet credit lending. Different from the credit lending mode of traditional financial industry, P2P credit lending only based on the platform of Internet, provide an environment for people who like to invest or people who need money in order to meet both sides’needs. At the same time, compared with high standards of traditional financial, P2P credit lending has a positive affection in solving the problem of middle and small sized enterprises’financing operations. To some extent, P2P credit lending meets the needs of individual consumption and public financial management.While, as a new credit service industry, P2P credit lending steal facing numerous problems. It is in lack of corresponding regulations and measures, in addition, its small scale and natural traits make the impacts of information asymmetry even more prominent. P2P credit lending risk problems come out.Among these risks, credit risk is the main risk of P2P lending in operating process. The core of this paper is research on credit risk of P2P lending, based on the development condition on credit of P2P and the empirical analysis of credit risk to do the evaluation and predict on credit risk of P2P lending. Firstly, according to the analysis of domestic and overseas nowadays research in P2P credit lending, concluded and compared the research conditions in our countries and other countries. Secondly, based on mature theoretical in credit risk evaluation, through different typical platforms in domestic and overseas operation pattern comparison, calculate the style of P2P credit lending risks. And prepared for the fourth part. Finally, based on the fourth part’s research, aim at the results of empirical research to provide some advice and suggestion, in order to decrease the credit risk.Based on what is said above, this paper use data of three P2P lending platforms in China to make the empirical analysis. In conclusion, in this paper there are two sides in credit risk evaluation of P2P lending which is the condition of the service development and empirical research of credit risk evaluation, used by the logistic model and artificial neural network model to do the evaluating and predicting. In the future, in order to complete the credit evaluation system in China, this method has a positive effect.