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...

Firms offering "buy now, pay later" (BNPL) point-of-sale installment loans with minimal underwriting and low interest have captured a growing fraction of the market for short-term unsecured consumer credit. We provide a detailed look into the US BNPL market by constructing a large panel of BNPL...

Interest in central bank digital currencies (CBDCs) has been burgeoning with 134 countries now exploring its implementation. In December 2022, India started its CBDC pilot program to continue its transition towards a digitized payments economy. This paper presents the first empirical analysis...

Despite positive and significant earnings announcement premia, we find that institutional investors reduce their exposure to stocks before earnings announcements. A novel result on the sensitivity of flows to individual stock returns provides a potential explanation. We show that extreme...

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...

This paper studies how tightening monetary policy transmits to the economy through the mortgage market and sheds new light on the distributional consequences at both the individual and regional levels. We find that credit supply factors, specifically restrictions on the debt-to-income (DTI)...

We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers' creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform's model to counterfactual outcomes based on a...

We investigate compensation policies in family and non-family firms using a novel employer-employee matched dataset comprising nearly the universe of Italian incorporated firms and ownership information. Family firms pay significantly lower wages and offer slower and less rewarding careers....

We propose a simple model of the sovereign-bank diabolic loop, and establish four results. First, the diabolic loop can be avoided by restricting banks domestic sovereign exposures relative to their equity. Second, equity requirements can be lowered if banks only hold senior domestic sovereign...

We present a model in which managers are risk-averse and firms compete for scarce managerial talent ("alpha"). When managers are not mobile across firms, firms provide efficient compensation, which allows for learning about managerial talent and for insurance of low-quality managers. When...