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The Domestic P2P Lending Rate Of Overdue Empirical Research On The Influencing Factors

Posted on:2018-11-10Degree:MasterType:Thesis
Country:ChinaCandidate:K YuFull Text:PDF
GTID:2359330518456625Subject:Applied Economics
Abstract/Summary:PDF Full Text Request
P2P network lending,that is,the meaning of personal loans to individuals.It is different from the traditional finance,the entire lending process is achieved through the network,is an important part of Internet banking.The P2P network lending platform,is a combination of personal loans and online banking sites.The model was introduced from abroad in 2007.In recent years,it has developed rapidly in China.It has provided the broad way for the individual and the small and medium-sized enterprise micro loan,and has made the important contribution.However,behind the prosperity is often accompanied by many problems.Because of the lack of legal regulation,P2P network lending is still not mature enough in China,and there are many problems such as high cost of borrowing,overdue rate and so on.The author of the P2P network loan related aspects of a large number of searches,the literature research mainly focuses on the construction and user behavior of P2P network lending risk management and legal supervision,domestic lending platform P2P network credit system.In the first two aspects,the author puts forward some effective suggestions and measures to solve the problems of the legal supervision and the imperfect credit system.However,the user behavior is mainly studied on the success rate of the loan,and the empirical research on the overdue behavior is relatively small.Based on this phenomenon,this paper makes empirical research based on the data of all loans.The first is to conduct a theoretical analysis of overdue behavior,and the overdue behavior is divided into active and passive overdue,respectively,and then,the impact of the overdue rate of the variables can be searched for empirical analysis.Principal component analysis was used to find the main influencing variables,and then the relationship between variables and overdue rate was proved by multiple regressionThe empirical results show that in the studied variables,have obvious relationship with overdue rate is the interest rate,loan period,age,work time,success number,real estate,the total amount of the loan,the loan amount,monthly income,credit score and credit limit.These variables have an impact on the overdue rate,some positive and some negative.The author through the above research found that there is a serious shortage of credit system construction of peer-to-peer lending and other domestic lending platform P2P network,which also led to a credit evaluation system in the social capital on the part of the loss,which leads to higher rate of overdue.The author puts forward some feasible and effective measures to solve the problem.
Keywords/Search Tags:P2P network lending, overdue rate, community network, credit evaluation system
PDF Full Text Request
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