Research On Credit Risk Evaluation Model And Method Of Lending-based Crowdfunding Platform

Lending-based crowdfunding is an important part of Chinese Internet finance.It is significant to release those minor enterprises facing financing difficulties,revitalize the society idle funds and solve the credit deficiency problem both enterprises and person.But it has been negatively affected by the collapsing platform because their illegal financing and the false setting targets,which may damage the rapid development of Lending-based crowdfunding.The platform,as the key point of Lending-based crowdfunding,how to evaluate its credit risk and avoid the loss,is not only a practical issue,but also an academic problem.However,at this moment,the practice and the theory of credit risk management in Lending-based crowdfunding platform are still missing.The existing credit risk management system and the financial evaluation measure are still weak.Thus,the evaluating credit risk researching is important because it can improve the competitiveness and the innovation ability of Chinese Internet Finance and it is meaningful to the credit risk management of Internet finance.Scholars both at home and abroad have carried on research on the evaluation of credit risk in many areas except Lending-based crowdfunding platform,they are still haven't made systematic and comprehensive research on the theories and models of Lending-based crowdfunding platform,especially in some basic problem.Thus,this paper takes the Lending-based crowdfunding platform as the object of the credit risk research,explore the possibility of data mining on the evaluation of Lending-based crowdfunding platform.The main research are as follows:First,base on trust theory,analyze the trust formation process of Lending-based crowdfunding platform.And then define what the credit risk of Lending-based crowdfunding platform is,establish the relationship between credit risk and trust,finally set up a credit risk evaluation model of Lending-based crowdfunding platform base on trust.Second,base on the credit risk evaluation model of Lending-based crowdfunding platform,combining with practical situation,establish a system contain four first level evaluation index including platform basic information,operation information,risk information and the ability of the internet influence information.Under the first level index are the second level index including the shareholders background score,the operation time,the registered capital,the ICP qualification certification,the volume,the operation ability,the repay ability,the development ability,the liquidity pressures,the influence of single investor withdraw cash,the influence of single borrower default,the financial leverage,the number of targets,the average interest rate,the loan period,the users influence ability and the media influence ability.Thirst,in view of the fact that there is existing insufficient in the practical credit risk evaluation model of Lending-based crowdfunding platform and the academic theory is still vacant,so we try to take the cluster analysis method on the evaluation of Lending-based crowdfunding platform and then determine different credit risk levels base the cluster analysis.Fourth,through the clustering process,we have determining the credit risk criteria of Lending-based crowdfunding platform,and then try the methods including BP nerve network?SVM and decision tree to forecast the credit risk of Lending-based crowdfunding platform,it have proved that the BP nerve network is the best method.And then choose 35 platforms which average trading volume in the past six months below 20000 million RMB as the prediction objects.The prediction results show that the credit risk level among 35 platform,3 platforms are medium,and the rest are poor.Fifth,comparing and analyzing the difference between different ranks of the Lending-based crowdfunding platform,illustrating the characteristics of each rank.Finally put forward the proposal to the platforms and the public investors.