我国P2P网络借贷信用风险影响因素研究——基于排序选择模型的实证分析

P2P(peer-to-peer)网络借贷是一种借助网络平台，由个人与个人间互为借贷双方的小额借贷交易。它作为互联网与民间借贷相结合的新兴金融模式，具有较高的信用风险。采用排序选择模型，基于 ex-celVBA 数据挖掘技术截取多个 P2P 网站数据，对平台信用风险的影响因素进行实证分析，结果表明：个人特征、信用变量、历史表现、借款信息分别对网络借贷信用风险存在正向影响，由此发现网站提供的信息对投资者避免信用风险没有起到实质作用。

On the Influence Factors of Credit Risk of Online P2P Lending in China:Based on an Empirical Analysis by the Ranking Selection Model

Online P2P (peer-to-peer)lending,is microfinance transactions by people lending to each other,with the aid of online platforms of electronic business.As a new financial model of folk loan business conducted with the Internet technology,it has a higher credit risk.This paper uses the ranking selection model to analyze the influencing factors of the credit risk of online lend-ing based on data from some P2P sites extracted by excel VBA Data Mining,and the results showed that:personal characteristics,credit variables,historical performance,loan information each had a marked positive influence on the credit risk of online lending.We found that the infor-mation provided by websites for investors to avoid credit risk did not play a substantive role.