Credit Risk Assessment Of P2P Network Borrowers

The commercialized application of Internet technology has brought about historic changes in people's trading mode.Relying on the information media channels of network platform,financial resources are gradually flowing to the Internet for allocation.Capital has realized cross-border flows and transactions.Traditional financial transaction structure is gradually moving towards innovation and Transformation Driven by Internet technology.Internet finance has effectively realized the financing of funds.Mediation and electronic innovation of payment and settlement business.P2 P network lending,as a new type of network finance,is a prominent representative in the information age.With its simple and fast trading process and flexible lending conditions,it effectively meets the market demand for small and convenient financing,and gradually develops into the core of private lending.Under the background of the rapid development of P2 P Internet lending,the market of P2 P Internet lending is facing serious credit risks of borrowers due to the separation from the traditional financial institutions pure online credit auditing and the existence of regulatory boards in the industry.In view of this reality,this paper combines the three core subjects in the business chain of P2 P network lending: the borrower of P2 P network lending,the platform of network lending and the investor.Based on the perspective of the investors with weak information decision-making and the platform of network lending,this paper makes a quantitative evaluation study on the credit risk of the borrower of P2 P network lending.Firstly,this paper elaborates the P2 P network lending,and deeply analyses the causes of the credit risk of the borrowers of P2 P network lending.Secondly,from the point of view of identifying the credit risk of borrowers in P2 P network lending,this paper constructs a signaling game model between borrowers and investors.Based on the conclusion of the game model and referring to the traditional commercial banks personal credit risk assessment index system,combining with the operation characteristics of P2 P network lending business,it selects targeted borrowers' credit risk assessment index,and establishes the credit risk assessment of borrowers in P2 P network lending evaluation index system.Finally,according to the characteristics of the research object,the BP neural network model is constructed as the credit risk assessment model of borrowers,and the borrower information of typical representative online lending platform is further selected as the model sample data for training and simulation.The results show that:(1)Investors of P2 P online lending platform can effectively identify the influencing factors of borrowers credit risk from the aspects of borrowers' basic characteristics,borrowing characteristics and credit characteristics.(2)BP neural network model has strong predictive ability.The error between the predictive output and the real output of the model is small.The model is suitable for evaluating the borrower's credit risk and has certain generalization practicability.Based on the above research results,this paper puts forward countermeasures and suggestions to prevent the credit risk of P2 P online loan from the perspective of borrowers,online lending platforms,external regulatory authorities and investors.