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An Empirical Study On The Influencing Factors Of P2P Lending Behavior

Posted on:2017-03-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y XuFull Text:PDF
GTID:2309330485978733Subject:Finance
Abstract/Summary:PDF Full Text Request
Peer-to-Peer lending, also known as peer to peer internet banking, is a new kind of financial model which person lending to each other through the network platform. P2 P lending platform is one kind of third-party platforms between the borrower and lenders.Zopa,the world’s first P2 P lending platform is established in 2005 in the United Kingdom.in2007, ppdai became the first P2 P lending platform in China, and then a large of P2 P lending platform began to appear,like “Wealth Evolution”,“Creditease” and “Hongling Capital”. Since the application procedure is simple, requirements of the borrower’s are quick and relatively relaxed, etc., P2 P lending platform has generated widespread attention and gained rapid development after it, but as a new financial model,there will be some problems in the course of development. Currently, the main important issues in developed and developing countries of P2 P lending platform is the financial success rate is generally low, and there is a higher risk of default.Therefore, this article analyzes the causes of these problems from the perspective of borrowing behavior. Loan Behavior refers to a lender through browser platform, gain the risks and benefits, interest rate, purpose and borrowers basic and other information, to assess the final decision on whether to borrowers bidding behavior, mainly from the angle of lending rate. Borrower behavior refers to the borrower after the successful financing of whether the breach, default rates to be measured. In related research draws extensively at home and abroad on the basis of the first sort out the theory and P2 P network-related lending, and then summed up the development process of P2 P industry at home and abroad. Next on the status of industry analysis, select “Wealth Evolution” as a typical platform to design Data Capture software method to collect trade information, based on a large number of samples, using Logistic regression model regression.Through the empirical analysis of the results found in the P2 P network lending market,the basic factors of the borrower, the borrower’s information, credit history of borrowers and performance variables affects the of lending rate and default rates significantly. The incidence of borrowing, loan interest rates, the monthly income of the borrower, real estate owned car production situation and credit rating, the number of audits and other project financing success rate has a positive role in promoting, while the loan amount, loan term, the borrowerand the borrower is the number of unsold There was a negative correlation between the likelihood of success. The terms of delinquencies, education, marital status, monthly income,there were significant negative relationships with lending defaults. Credit rating with a negative correlation loan default rates.However, loan amount, loan interest rate, loan period is positively correlated with loan delinquencies. Based on this result, the paper argues that:borrowers can choose a reasonable loan amount, interest rate, term, and provide more proof and personal information as well as efforts to enhance the credit rating of its own financing to increase the likelihood of success. P2 P lending platform from the platform to develop and maintain attention to credit rating system, improve the application process and standardize basic loan information, and increase channels of communication between borrowers and lenders and other aspects to improve financing efficiency and reduce the risk of default. The industry regulator we can improve the social credit system, a sound regulatory system,improve the relevant laws, and other ways to support policies to promote the sound development of P2 P network lending.
Keywords/Search Tags:P2P lending behavior, Lending rate, Loan delinquencies, binary logistic model
PDF Full Text Request
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