Research On Credit Risk Evaluation Of P2P Loan Borrowers

Under the background that the country strongly supports the real economy and small-micro enterprises,the emergence of P2P loans has provided new ways for small-micro enterprises to solve the financing problems.However,due to information asymmetry phenomenon and personal credit system in our country is not yet available.the credit risk of the P2P loan borrower occurs from time to time,causing damage to the rights and interests of the investor,increasing the burden of the online loan platform,which is not conducive to the healthy and long-term development of the P2P loan industry.Therefore,a reasonable assessment of the borrower's credit risk is very important to better use of online loan funds to serve small-micro enterprises.First,The article uses qualitative analysis methods to classify and contrast different information indicators of the borrower,find different information indicators of the role to credit risk,and establish a comprehensive and innovative evaluation index system for the next qualitative analysis.Then,the status of the selected subject that whether the borrower defaulted as an explanatory variable,24 indicators that amount,annual interest rate,maturity,borrowing purpose,gender,age,education,marital status,working city,nature of the unit,nature of work,working years,Monthly average income,property status,other loan conditions,number of loan applications,number of successful loans,number of loan repayments,academic certification,marriage certification,residence certification,job certification,property certification,and borrowing attitude were used as explanatory variables,use the collected and screened 2357 sample data,establish logistic regression model and multi-layer perceptron model;finally compare the evaluation effects of the two models on credit risk,find more suitable evaluation methods and analyze the importance of each explanatory variables to risk assessment.After the analysis and research,the paper points out that the multi-layer perceptron model has a higher accuracy in evaluating the borrower's credit risk,and has certain practical significance for the risk evaluation and management of P2P loans.The annual interest rate and target amount,time limit,number of successful loans,borrowing attitude,and number of clearing operations in the evaluation index play a significant role in correctly assessing the risk level of the borrower.It is believed that the P2P online loan platform should pay more attention to these aspects in collecting credit information of borrowers in the future.