An Analysis Of The Factors To Influence Successful Borrowing Rate In P2P Network Lending

P2P Lending (Peer to Peer Lending) is implemented through a third-party network platform between individual and individual to realize the innovation of the small credit loan business, which is often referred to " everyone loan" in China. Since 2006, P2P lending industry has developed rapidly in domestic, and in 2013 became the outbreak of the industry development of the industry, but has been facing the problem of the low success rate of lending. The article hopes that the typical P2P lending platform at home and aboard are cooperated systematically, and insights into the mode of the P2P lending platform, which hopes you can put forward the strategies of the optimization and improvement.First of all, this paper made an exposition of P2P lending at home and abroad, found the domestic scholars researched the platform development model and risk control; foreign scholars studied the effect of social capital on loan and investor’s decision-making, etc. Secondly, in this paper, the present situation at home and abroad of the P2P lending industry development is studied, and the P2P lending platform at home and abroad were compared and analyzed. Found that in domestic P2P lending industry has developed rapidly, but there have been many collapsing platforms. The main reason is that regulation is not clear; the law is not sound, the business model is immature. Then, taking paipaidai for example, this paper uses the binary logistic regression model; this paper uses the binary logistic regression model, studies the influencing factors of the success rate of borrowing of the 72081 date of paipaidai.The results show that eliminating three unqualified variables:age, number of certification, amount, interest rate, term, credit rating, borrowing credit, loan credit points to the success rate has a positive impact; failure number has a negative impact; men are more likely than women to borrow successful. The borrower can estimate the predictive model based on the borrower’s own probability of success, so as to improve the success rate of lending according to their own situation. Finally, on the basis of empirical analysis, this paper puts forward some suggestions for the development of the P2P lending industry in our country and makes the research prospect.