Research on the factors affecting the successful borrowing rate of P2P network lending in China — Taking the case of renrendai online lending as an example

Abstract

The problem of financing of minor enterprises has been a difficult problem all over the world, but the emergence of Internet finance gives them a new chance. However, the success rate of P2P network lending has been maintained at a low level. This paper takes the case of Renrendai Online Lending as an example, firstly illustrates the selection of model and uses binary Logit model to do regression test. Further, the Crystal ball software is used to do Monte Carlo simulation. Finally, it gives suggestions and possible solutions from the perspective of lenders and borrowers.