Research On The Factors Affecting The Interest Rate Of China's P2P Network Lending Platform

This paper takes the interest rate of P2 P network lending platform as the research object and uses stepwise regression to filter variables,and determines the model form by F test and Hausman test.The regression results were obtained by performing a GMM robustness test on the regression results.Then,a model with three dummy variables is established for classification analysis,and the difference in interest rate factors is obtained.This paper mainly draws the following conclusions.The overall indicators of the P2 P industry cannot fully reflect the development of the industry.At the same time,there are significant differences between different capital background platforms.The occurrence of industry problematic events will not have a significant impact on the normal operating platform.Industry fluctuations are the bursting of the bubble and the rational return,which reduces the risk of the industry.The future P2 P network lending industry is a competitive mode between the strong and the strong.The current number of normal operating platforms in the industry has gradually decreased,and it has not been significantly affected by industry risk events.The overall operation has gradually stabilized.The P2 P network lending industry has a more significant relationship with other financial industries and together constitutes a complete financial ecosystem.Finally,this paper puts forward suggestions from investors,financiers,P2 P network lending platforms,industry regulators and industry development direction.