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A Study Of Risk Assessment For P2P Lending Platform Based Onthe Support Vector Machine

Posted on:2017-08-07Degree:MasterType:Thesis
Country:ChinaCandidate:X F ZhangFull Text:PDF
GTID:2359330512963183Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Compared with the traditional commercial banks tend to serve the top 20% companies,P2 P network lending serve more than 80% small and micro enterprises of the “long tail”.By the end of 2015,Small and micro enterprises created 237 million jobs,accounted for30.7% of the total employment of our population,contributed more than 65% of the GDP and more than 50% of the tax.For lacking adequate collateral,small and micro enterprises cannot provide an effective guarantee,and their financing needs are often not satisfied in the traditional financial system.P2 P network lending has inherent advantages in serving small and micro enterprises,it can effectively solve the user's personalized needs.However,with the rapid development of P2 P network lending,it also faces many problems which need to be resolved.Since the P2 P network lending was introduced in China,it has got a great development in domestic,and derived a lot of P2 P network lending models with Chinese characteristics on the basis of the traditional model.Because the legal policies related to the P2 P network lending is not perfect in domestic,and the poor credit collection system and risk control system make P2 P network lending platform prone to a variety of risks,and cause great losses for investors..Finding out the various risks of P2 P net loan platform and assessing the risk of net loan platform allows investors to avoid the high risk platform when investing.At the same time providing some regulatory recommendations to relevant government departments.This paper firstly introduced the definition,characteristics of P2 P net loan.Then made some statistical analysis of our country's P2 P net loan platforms,summed up the current situation and characteristics of China's P2 P net loan platforms.And classified current P2 P net loan platforms to different models from different perspectives,introduced the working mechanism of typical P2 P net loan platform,such as PPDAI,P2 P lending,Creditease,and Lufax.Secondly,this paper summarized all kinds of risks that may exist in the P2 P network lending platform of our country,including legal risk,credit risk,operational risk and liquidity risk.Finally,according to the various risks of P2 P net loan platforms,referring to the index selection method of some third party net loan platform rating agencies,the risk assessment index system of P2 P network lending platform is constructed in this paper.On the basis of using Support Vector Machine(SVM)classify 60 net loan platforms at top 100 rating in Net Loan Home and 60 net loan platform with problem which were selected randomly to get the relative weight of risk index of every P2 P net loan platform and determine the scores of different risk grades by Delphi method to establishthe risk assessment model of P2 P net loan platform.Through the empirical analysis of the selected sample platform for risk assessment,this paper has achieved a more accurate prediction for P2 P net loan platform.this risk assessment of P2 P net loan platform can not only provide a reference for supervision departments to carry out supervision and investors to do investment but also maintain investor's financial security and social stability effectively and then make P2 P net loan platform achieve more standardized and orderly development.
Keywords/Search Tags:P2P network lending, Support vector machine, index system, risk assessment
PDF Full Text Request
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