Research On Credit Risk Early Warning Of P2P Network Lending Platform

Peer-to-peer online lending is an emerging model of Internet finance that was introduced to China in 2007.The intensive policy introduction and the occurrence of problem events have caused the P2P network lending platform industry risk to break out since 2018.At of the end of October 2018,there were 1205 platforms for the normal operation of network leading and altogether 2594 problem platforms.In August 2017,"the Guidelines for Information Disclosure of Business Activities about Internet Lending Information Intermediary Services" by the CBRC(hereinafter referred to as "Information Disclosure")precisely stipulated relevant information that was required disseminating by the P2P online lending platform which provided a system guidance for the standardized operation of the online lending platform.In 2018,the credit risk of the online lending platform has become a new research direction because of the sharp decline in the degree of thunderstorms on the platformThis paper collects the credit rating index system by collecting the data of the top 59 online loan platform official website,combined with the "Information Disclosure" items,and uses correlation analysis and principal component analysis to accurately screen out the rating indicators and constructs an indicative system of credit risk including 4 standards and 23 credit rating indicators.Pre-analysis is utilized Logistic regression combined with third-party rating agency to rate results and combine entropy method to weight the indicators.which could establish an appraised model for credit risk.,It could be divided into the risk warning signal of online loan platform and the risk warning interval in terms of the KLR signal analysis method.Moreover,the BP network neural is used to analyze the early risk warning about 59 P2P network lending platforms,and the results are basically consistent with actual results.To sum up,this model can effectively carry out risk warnings on the online lending platform.Furthmore,it provides the basis for accurate supervision to the regulatory authorities,helping investors make correct investment decisions,improving the credit rating system of online loan platform,and promoting the healthy and orderly development of the P2P online lending platform.