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Theoretical And Empirical Research On The Personal Information In Effect Of P2P Lending’s Success Rate

Posted on:2014-08-25Degree:MasterType:Thesis
Country:ChinaCandidate:X NingFull Text:PDF
GTID:2309330431499639Subject:Finance
Abstract/Summary:PDF Full Text Request
Abstract:P2P lending (peer to peer lending) refers borrowing between individuals directly through the network. In recent years, rely on the global economy and the developing of network communication technology, more and more people’s attention was attracted by P2P lending. From2006, P2P lending market has been developing in China rapidly, and its main feature is that the borrower’s loan depends on the number of investor, the investor’s investment behavior is transparent because there is no collateral, so investors assumed the major risks, which investors can bear the risk of its range of small amount of the tender. In this market, the borrower is concerned about how smoothly to borrow money, the lender is concerned about how to make their own investment income maximization.Although P2P lending market has developed rapidly, it has been facing the problem of low success rate. The purpose of this paper is through the collation and review of literature, analysis of P2P network investment decisions lending market in principle, to find the combination of theoretical and empirical research to explore ways to increase the success rate of borrowing. This paper uses Renrendai lending platform’s transaction data on Chinese lending market of P2P network borrowers like gender, geography, age, credit rating and order the basic characteristics of the statistical analysis, and the success rate of borrowing factors were studied. Through the relevant parameters of the basic descriptive statistics and regression analysis, found in the Chinese market borrowers’Basic Information on borrowing auction has significant influence, to some extent, improve the borrower’s loan success rates, and prospects and suggestions on this basis for the development of P2P lending.The number of chart,table and reference is separately4,11,61.
Keywords/Search Tags:P2P lending, features of borrower, lending success rate, impact factors
PDF Full Text Request
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