We provide a first look into the drivers of household cryptocurrency investing. Analyzing consumer transaction data for millions of U.S. households, we find that, except for high income early adopters, cryptocurrency investors resemble the general population. These investors span all income...

Younger entrepreneurs are disadvantaged by traditional loan underwriting, which relies heavily on personal credit scores. With data from three fintech companies, we show that incorporating timely information about ability to repay from business checking account statements particularly improves...

We estimate the causal effect of online sports betting on households' investment, spending, and debt management decisions using household transaction data and a staggered difference-in-differences framework. Following legalization, sports betting spreads quickly, with both the number of...

With the onset of the COVID-19 crisis in March 2020, small business lending through fintech lenders collapsed. We explore the reasons for the market shutdown using detailed data about loan applications, offers, and take-up from a major small business fintech credit platform. We document that...

This paper uses transaction-level data across millions of accounts to identify cryptocurrency investors and evaluate how fluctuations in individual crypto wealth affect household consumption, equity investment, and local real estate markets. We estimate an MPC out of unrealized crypto gains that...

FinTech lending--known for using big data and advanced technologies--promised to break away from the traditional credit scoring and pricing models. Using a comprehensive dataset of FinTech personal loans, our study shows that loan rates continue to rely heavily on conventional credit scores,...