An Empirical Study On The Influencing Factors Of Lending Behavior In China's P2P Network Lending Platform

Peer-to-Peer(P2P)online lending platform,as the name suggests,is a developed Internet financing or investment activities,which allows borrowers through the Internet platform and other personal users in the platform of direct borrowing funds Rather than directly from the bank or other traditional channels of lending institutions.Because of its operational convenience,and the high efficiency of investment and financing,etc.,making this emerging personal model of personal lending activities of funds quickly spread out in the world.This article first collects,combs and analyzes the whole development process of the P2 P online loan industry,and discusses the information asymmetry problem of the platform,which leads to the unavoidable existence of the adverse selection problem in the P2 P online loan market And moral hazard issues.These problems,such as through information disclosure is still not completely resolved,and ultimately will seriously affect the efficiency of P2 P online lending market,eventually leading to P2 P online loan platform for the loss of capital adjustment.And then draws a large number of previous empirical research conclusions,combined with the characteristics of data source platform and China's national conditions,the online lending behavior of the factors affecting the efficiency of the assumptions and analysis,the final decision in this paper empirical analysis of the main indicators of the efficiency of online lending for the investor loans Willingness and Interest Rate.Second,we use the crawler program to grab the data from the loan platform,and use the data to test the investor's willingness to borrow and the loan interest rate.Because it is a binary variable to measure the success of borrowing,this article uses logistics regression analysis,the impact of interest rates for borrowing analysis,the use of multiple regression analysis.At the end of this paper,we can conclude that the borrower's credit information(credit rating,with or without credit report)can significantly improve the efficiency of online borrowing.The borrower's basic information provided by the borrowing platform Information(borrower sex,occupation,etc.),historical performance information and other relevant information for the elimination of information asymmetry is more important,can effectively distinguish themselves with poor borrowers to improve their own borrowing success rate and lower borrowing rates.Finally,based on the conclusions,the corresponding recommendations.