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...

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

With open banking, consumers take greater control over their own financial data and share it at their discretion. Using a rich set of loan application data from the largest German FinTech lender in consumer credit, this paper studies what characterizes borrowers who share data and assesses its...

This paper studies the long-run effects of credit market disruptions on real firm outcomes and how these effects depend on nominal wage rigidities at the firm level. I trace out the long-run investment and growth trajectories of firms which are more adversely affected by a transitory shock to...

A novel spatial autoregressive model for panel data is introduced, which incorporates multilayer networks and accounts for time-varying relationships. Moreover, the proposed approach allows the structural variance to evolve smoothly over time and enables the analysis of shock propagation in...

I numerically solve realistically calibrated life cycle consumption-investment problems in continuous time featuring stochastic mortality risk driven by jumps, unspanned labor income as well as short-sale and liquidity constraints and a simple insurance. I compare models with deterministic and...

We establish a convergence theorem that shows that discrete-time recursive utility, as developed by Kreps and Porteus (1978), converges to stochastic differential utility, as introduced by Duffie and Epstein (1992), in the continuous-time limit of vanishing grid size.

We consider the continuous-time portfolio optimization problem of an investor with constant relative risk aversion who maximizes expected utility of terminal wealth. The risky asset follows a jump-diffusion model with a diffusion state variable. We propose an approximation method that replaces...