Credit Risk Research Based On Individual Network Loan

In recent years,with the promotion of information technology,the application of Internet technology developed fast.With the introduction and promotion of the Internet + concept,many traditional industries have developed rapidly with the Internet.The Internet finance industry is the most one of the important innovation projects has experienced rapid development.Along with the development of the industry,Internet finance companies have launched various forms of personal non-pledged online credit loans.The network credit loan products are favored by consumers because of their low threshold,high approval efficiency,fast lending speed,simple application procedures,and free use of loans.They have quickly seized the personal retail loan market and caused a considerable impact on traditional commercial banks.At the same time,commercial banks have changed their business direction,and have launched their own online credit loan products.Due to the convenience of the use of online credit loans and the broad channel promotion of the Internet and traditional banks,the products have been rapidly promoted and the online loan balance has increased significantly.However,with the increase in loan balance,the network credit loan non-performing rate has also begun to rise rapidly,much higher than the traditional loan business,which has hindered the development of the industry and the stability of the financial market.Based on the relatively mature risk management system of traditional commercial banks and various financial institutions,this paper discusses the risk identification of emerging personal online credit loans,and studies the personal credit risks in online credit loans.This paper first analyzes the causes and characteristics of credit risk in online loans.The information asymmetry is serious,the borrower's repayment ability and repayment willingness are the main factors affecting the credit risk of online loans.In order to solve the above problems,this paper analyzes two different methods of personal credit risk management,the traditional scorecard method and the emerging big data analysis method.On the basis of this,the new network loan credit management method model is proposed by integrating the above two methods.The innovative concept is to use both methods to manage the default probability and risk exposure,and to exert their respective advantages to the borrower.The credit risk is more realistically evaluated,while retaining the advantages of fast,flexible and highly automated online loans.The real loan data is brought into the model for verification,which proves that the method can further effectively intercept the potential default risk,reduce the risk exposure and reduce the expected loss.