On the Rise of FinTechs: Credit Scoring Using Digital Footprints
研究了用户上网留下的数字足迹（如访问或注册网站的信息）能否预测消费者违约，发现简单易得的数字足迹变量与征信机构评分信息量相当，能补充征信信息、扩大信贷覆盖并降低违约率。
Abstract We analyze the information content of a digital footprint—that is, information that users leave online simply by accessing or registering on a Web site—for predicting consumer default. We show that even simple, easily accessible variables from a digital footprint match the information content of credit bureau scores. A digital footprint complements rather than substitutes for credit bureau information and affects access to credit and reduces default rates. We discuss the implications for financial intermediaries’ business models, access to credit for the unbanked, and the behavior of consumers, firms, and regulators in the digital sphere.