Research On The Default Risk Of Peer To Peer Lending Platform Based On Evolutionary Game Theory

In recent years,Internet finance has developed rapidly through the provision of efficient and convenient financial intermediary services,especially Peer-to Peer lending platforms.Peer-to Peer lending platforms have led to an exponential growth in its transaction volume and number of users by its characteristics of micro finance lending.Based on the previous researches,this paper aims at high-speed development of of Peer-to Peer lending platforms.By using descriptive statistics to analysis its macro development and micro development like interest rate.Moreover,I investigated the investor group of the platform and summarized the influence factors of investors' personal characteristics,investment preference and selections in platform.By expounding the operation mode of each major platform,the paper illustrates the different risks of various types by illustrating the operation process.The risk of P2 P platform is described in a more comprehensive way.Finally,I analyzed behavior of P2 P platform and the investors based on evolutionary game theory and MATLAB to simulate their behavior.It is focused on the per capita amount of investment,loan interest rates,the traditional financial institutions such as bank deposit rates,income of platforms and platform registered capital.I draw a conclusion on how does these factors influence behavior of investors and platforms.At last,I proposed that P2 P platform should positioning their customers on small-capital requirements customers.And control their risks by increasing the number of customers.Also,the effective risk control system should be established immediately.Strengthen supervision department regulation of P2 P platform,improve the P2 P platform default cost.