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Research On The Credit Risk Measurement Of P2P Online Lending Platform Based On Logistic Model

Posted on:2018-08-06Degree:MasterType:Thesis
Country:ChinaCandidate:D WangFull Text:PDF
GTID:2359330518963459Subject:Finance
Abstract/Summary:PDF Full Text Request
Until Nov,2016,there were more than 5879 platforms for P2 P online lending platform.However,the number of P2 P online lending platform which have problem is 3351.Accumulated risk of Development becomes a new problem which the industry's most concerned about.In this paper,the credit risk of the borrower faced by the P2 P online lending platform is described in detail,so as to find out the way to reduce the credit risk.In this paper,by comparing several mature credit risk measures,the best credit risk measure of P2 P online lending platform borrower is Logistic model.Owing to the underdevelopment of China's P2 P online lending and insufficiency of data,the research makes use of the lending data of five representative platform.And loan amount,debt to income rate,borrower rate,term etc.are used to estimate credit risk of P2 P online lending platform.The empirical analysis of this paper may be different in the choice of variables and the accuracy of prediction.However,due to the relaxed application conditions of Logistic model,it is feasible to measure the credit risk of borrower on P2 P network loan platform.The conclusion of the measure will gives us positive effects.
Keywords/Search Tags:P2P online lending, Logistic regression models, Credit risk
PDF Full Text Request
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