On The Influence Factors Of Credit Risk Of Online P2P Lending In China

P2P (peer-to-peer) network le nding, is a network of have the aid of platform ofelectronic bus iness, by ind ividua l and persona l inter microfinance transactionslend ing. P2P network lend ing because of the low thresho ld, ma inly enga ged in nonmortga ge le nding, loans relative ly transparent, highly Sma ll and micro bus inesses andindividua l pursuit. Especia lly in recent years America after the financ ia l cris is in2008,the clima x of the deve lopment of trad itiona l financ ia l institutions financ ing downturnalso is network le nding very q uickly. With the rapid de ve lopment, P2P networklend ing default rates as credit risk has become the focus of concern, the higher creditrisk has become the biggest bottle neck network le nding itse lf.In this paper, used the ranking selection model, based on exce lVBA data miningtechno logy, to write macro program, through the Webpage fixed capture data,respectively fro m the P2P network lend ing p latform, one of the earliest--ppdaiwebs ite, and the current develop ment of intercepting loan data the best website--peer-to-peer lend ing s ite, ana lyzes the affecting factors on the network of credit risk.The results s howed that: credit, loan period, the loan rate and the historica lperformance of the network of credit risk has a significant impact. The e mpirica lresults find web site eva luation of credit rating higher person, but a higher credit risk,which is the information provided on this site for investors to avoid credit risk did notplay a substantive ro le.Fina lly, through the analys is of the China P2P network lend ing, the governme ntto strengthen supervis io n, standardize network le nd ing platform, the syste m ofindividua l cred it information network with the people’s Bank credit data together andso on, in order to better prevent credit risk.