Research On Investor Decision Making Based On P2P Network Lending Platform

With the increasing residents' personal assets,private capital reserves have been huge in recent years,but the capacity of capital appreciation is insufficient.The reason for this phenomenon is that the existing investment channels are too narrow.P2P lending,an emerging and rapid-developed industry,is an important channel for investors.It can make a complete network of the investment and the return of capital,financing and repayment,borrowing and return,lend and recover between strangers through the carrier of the interconnection between pages,third-party security as a means and third-party payment for the way.However,it exposes a variety of problems behind the rapid development,such as P2P platform bankruptcy,the platform to suspend business for rectification and investors' difficulties of withdrawing deposit and so on.The purpose of this study is to find out the key factors influencing the bidder's decision-making through the analysis of the influencing factors of investor behavior in the P2P network lending process in China.Learn from the experience of domestic and foreign scholars.The biggest risk is the borrower's credit risk for investors.P2P platform biggest risk to the borrower's loan risk is also the main credit risk,an investor to choose investment platform,the final is to look at the credit platform,good credit,the borrower's credit is good,the platform of the volume then,this is a virtuous circle.The author will get a new credit risk assessment model about the risk of the investor from the perspective of P2P investors.Firstly,author will select experimental data from Renrendai and gather some reserved indexes.Secondly,the final indexes will be selected by the means of data processing,classification and qualification and the factor analysis.Lastly,the author will make a logistic regression to the model targets.Influencing factors of investor behavior decision-making will be obtained based on the prediction about credit risk.And the author will put forward some suggestions that are useful to improve the credit risk assessment system of loaners on the P2P platform.The innovation of this article is that by the element analysis method and Logistic regression model,it not only estimates the investor' credit risk on theP2P platform but also gets the good results and conclusions.