Research On Credit Evaluation Of Cash Loan Borrowers Based On XGBoost-LR Comprehensive Model

In recent years,cash loan has developed rapidly in China,provides a new borrowing channels for low-income people.However,while the cash loan is growing up quickly,the default rate of borrowers remains high,which leads to difficulties in the operation of the platform and seriously restricts the healthy development of cash loan.The main reason for these problems is that the credit evaluation of borrowers by the cash loan platform is seriously insufficient.Based on the analysis of the cash loan business model and the borrowers' credit characteristics,this paper establishes the cash loan borrowers' credit evaluation system and credit evaluation model,which can be used to judge the borrowers' credit status and provide a reference for the customer screening mechanism of the cash loan platform.The research methods and theories adopted in this article mainly include signal game method,XGBoost-LR comprehensive evaluation method and the relevant theory of new institutional economics.By using signal game method,the credit risk of cash loan is analyzed,and the credit characteristics of cash loan borrowers are described in detail.By summarizing and summarizing the various evaluation systems of borrowers of the current online and offline credit institutions,the credit evaluation model of borrowers is established by using XGBoost-LR comprehensive evaluation method.Based on the theory of new institutional economics,this article discusses the institutional arrangement of credit evaluation for cash loan borrowers.The logic of this article is as follows.Firstly,the article analyzes the operation mode,development status and cash loan default situation cash loan in China,and it also summarizes and analyzes the credit evaluation system of various credit institutions.Secondly,based on the principal-agent theory,the principal-agent relationship between the platform and the borrowers is analyzed,and the signal game model between the platform and the borrowers is established to study the root cause of the information asymmetry in the cash loan transaction.Then,by analyzing and comparing the evaluation systems of major credit institutions in China,and combining the obtained cash loan business data of a certain online platform,the comprehensive evaluation model of XGBoost-LR is established to conduct an empirical analysis on the credit evaluation of borrowers.Finally,based on the empirical conclusion,the article puts forward some policy suggestions from the perspectives of central bank,cash loan platform,government and consumers to strengthen the construction of credit evaluation environment for cash loan.This article comes to the following conclusions: First,cash loan borrowers have credit characteristics such as lack of hard information and complicated background,unclear use of funds and widespread multi-party lending behavior.Secondly,the XGBoost-LR comprehensive evaluation model is established to evaluate the credit status of borrowers.Third,the borrowers' credit evaluation indicators can be selected from their network behavior information,basic information,social network information,third-party data evaluation information and anti-fraud evaluation information.Fourth,the effective operation of the evaluation system also depends on the improvement of related supporting measures.