摘要
随着互联网信贷业务的发展和信用风险评估体系的不断完善,欺诈风险成为阻碍互联网信贷业务发展的一个主要因素。文章整理了互联网信贷欺诈风险的表现形式,梳理了欺诈风险的形成过程,认为信贷机构要防控欺诈风险应针对欺诈风险特点,从欺诈酝酿、欺诈发生、欺诈传播的必备条件入手,建立欺诈风险评估体系,并采用实证分析法,通过真实业务案例和数据,构建基于CBiForest欺诈风险评估模型的一种比较优秀的量化评估方法,为互联网信贷机构防控欺诈风险提供参考。
With the improvement of Internet credit business and credit risk assessment system,fraud risk has become a major obstacle to the development of Internet credit business.This paper sorts out the forms of Internet credit fraud risk,analyzes the formation mechanism of fraud risk.In order to prevent and control fraud risk,credit institutions should establish a fraud risk evaluation system based on the characteristics of fraud risk and the necessary conditions for fraud brewing,fraud occurrence and fraud spread.Through the real business cases and data analysis,we get an excellent quantitative evaluation method to build a fraud risk evaluation model based on CBiForest,which provides a reference for Internet credit institutions to prevent and control fraud risk.
作者
武建奇
何姝
WU Jian-qi;HE Shu(School of Economics,Hebei University,Baoding Hebei 071000,China;School of Marxism,Hebei University of Economics and Business,Shijiazhuang Hebei 050061,China)
出处
《技术经济与管理研究》
北大核心
2020年第11期80-84,共5页
Journal of Technical Economics & Management
关键词
互联网贷款
欺诈风险
量化评估
人工智能
反欺诈
Internet loan
Fraud risk
Quantitative evaluation
Artificial intelligence
Anti fraud