摘要
基于P2P网络借贷中借款者基本信息、贷款状况、借款者还款能力、借款者还款意愿及借款人贷款担保等因素对借款者违约分析的影响,利用Logistic多元回归模型对影响因素进行相关性分析,为我国P2P行业信用风险防范提出新的思路。
Based on the influence of the basic information, loan condition, repayment willingness and repayment ability and credit guarantee of borrowers on borrower＇s breach in P2 P network lending, the Logistic multivariate regression model is used to analyze the correlation of the influencing factors, so as to put forward new ideas for P2 P industry credit risk prevention in China.
出处
《价值工程》
2016年第27期32-34,共3页
Value Engineering
基金
南通理工学院科研项目"P2P网贷借贷风险防范研究--以资邦财富为例"(编号为科研2015031)
