Research On Company A's Internet Finance Credit Risk Based On P2P Network Lending Platform

P2P online lending is a new financial model combining the Internet and private lending.It has developed rapidly since entering China in 2007.Since 2012,P2 P online lending platforms have closed down,and problems such as carrying funds have been exposed one after another.This shows that the overall industry is facing higher risks,and credit risk is the main risk affecting the development of the industry.The problem of credit risk has become the biggest "stumbling block" that hinders the healthy and sustainable development of the entire online loan industry.Therefore,the research on the factors affecting the P2 P credit risk has been strengthened,the credit risk has been correctly identified,prevented,and resolved.The P2 P online loan platform has improved the credit evaluation of borrowers The mechanism,ensuring the quality of loans and promoting the sustainable and healthy development of the entire online loan industry are of great practical significance.This paper takes the credit risk of P2 P online lending platform as the research entry,selects the earliest and largest state-owned P2 P online lending platform A company established in S province as the research object,and combines credit theory,risk measurement theory,information asymmetry theory,principal-agent theory The credit risk status of Company A's P2 P online lending platform is analyzed,and the existing credit risk problems are pointed out,that is,the borrower's credit prevention problem,the borrower's own and external problems.Further analyze the influencing factors that affect the borrower's credit risk.Based on a comprehensive analysis of its operating model and its credit risk issues,it uses factor analysis and logistic regression to disclose customer-related loan information to Company A(such as age,gender,education,credit rating,total borrowing,borrowing interest rate,borrowing period,etc.)Quantitative research is carried out,a measurement model for measuring the default probability of borrowers in online loan transactions is constructed,and measures and suggestions for preventing credit risk of P2 P online loans are proposed.The main conclusions are as follows.Among the 16 explanatory variables in this empirical study,the influencing factors of the same change in the borrower's credit risk are the borrower's borrowing amount,borrowing interest rate,purpose of borrowing,monthly repayment amount,number of successful bids,The influencing factors of the number of failed bids and overdue repayments and the borrower's credit risk are the borrower's borrowing period,education,credit rating,source of repayment funds,and number of normal repayments,which have little impact on the borrower's credit risk It is age,income,gender.Through the research in this article,we can further prevent the borrower's credit risk from the perspective of the factors affecting the borrower's credit risk,and propose specific measures: improve the borrower's credit risk prevention system,and review the key factors of the borrower's credit risk Establish a borrower's information sharing mechanism and implement the borrower's credit reward and punishment policy.