We analyze the information content of the digital footprint – information that people leave online simply by accessing or registering on a website – for predicting consumer default. We show that even simple, easily accessible variables from the digital footprint match the information content...

We analyze the information content of the digital footprint – information that people leave online simply by accessing or registering on a website – for predicting consumer default. Using more than 250,000 observations, we show that even simple, easily accessible variables from the digital...

We analyze the information content of the digital footprint - information that people leave online simply by accessing or registering on a website - for predicting consumer default. Using more than 250,000 observations, we show that even simple, easily accessible variables from the digital...

We derive three testable predictions from a bank-P2P lender model of competition: (a) P2P lending grows when some banks are faced with exogenously higher regulatory costs; (b) P2P loans are riskier than bank loans; and (c) the risk-adjusted interest rates on P2P loans are lower than those on...

We develop a simple theoretical model to motivate testable hypotheses about how peer-to-peer (P2P) platforms compete with banks for loans. The model predicts that (i) P2P lending grows when some banks are faced with exogenously higher regulatory costs; (ii) P2P loans are riskier than bank loans;...

We derive three testable predictions from a bank-P2P lender model of competition: (a) P2P lending grows when some banks are faced with exogenously higher regulatory costs, (b) P2P loans are riskier than bank loans; and (c) the risk-adjusted interest rates on P2P loans are lower than those on...