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Research On The Rating System Of Chinese Peer-to-Peer Lending

Posted on:2018-05-26Degree:MasterType:Thesis
Country:ChinaCandidate:M D YangFull Text:PDF
GTID:2359330515496432Subject:Applied statistics
Abstract/Summary:PDF Full Text Request
Since 2012,a large number of Internet technology in the financial industry to promote the application of the Internet financial industry to flourish,access to the social and academic attention and research.As an important component of Internet finance,number and scale of peer-to-peer lending have achieved breakthrough development,and is still developing rapidly.However,the peer-to-peer lending platform is not consistent with the way of operation,not only endanger the safety of users also disrupt the Internet financial industry order.Under the opportunities of the relevant departments to vigorously promote lending industry standardization,it's necessary to carry out a comprehensive rating of the peer-to-peer lending platform.Therefore,this paper studies the comprehensive rating of peer-to-peer lending platform,with a view to provide users with more choice information,to provide more Ideas and direction for the rating agencies,to contribute to the standardization for the network lending market.First,this paper distinguishes the traditional network lending credit rating and peer-to-peer lending platform comprehensive rating,which is evaluation of the platform comprehensive management status.Then this paper carried out rating studies from the subjective and objective,enriched the platform rating content.Aiming at the objective rating,on the basis of comparative analysis and the relevant laws and regulations,4 first-level indicators and 26 secondary rating indicators were chosen,and the index weighting was completed by combining the analytic hierarchy process and the entropy method.Finally,sample of 40 platforms were used to calculate the rating index,and the existing rating result is verified,which proves that the objective rating has certain practical significance.Aiming at the subjective rating,application of the text mining technology to the net peer-to-peer platform rating is innovative.Using the text crawling from the web and text analysis method,four subjective rating characteristics were extracted.Subjective rating model constructed by the weight according to the number of text.Finally,the results of the quantile score are classified as 1-5 stars by the idea of the quantile score.Through the comparative analysis of the relevant statistical test and the star rating of the platform,the supplementary effect of the subjective rating on the objective rating is further verified.The system of peer-to-peer lending platform rating establishment provide more reference information for the investors and borrowers.
Keywords/Search Tags:peer-to-peer lending, platform rating, AHP, entropy method, text analysis
PDF Full Text Request
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