We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55 percent of this take-up...

We use high-frequency interbank payments data to trace deposit flows in March 2023 and identify twenty-two banks that suffered a run - significantly more than the two that failed but fewer than the number that experienced large negative stock returns. The runs were driven by large...

We examine how investors' perception of bank balance sheet risk evolved before and during the March-April 2023 bank run. To do so, we estimate the covariance ("beta") of bank excess stock returns with returns on factors constructed from long-short portfolios sorted on shares of uninsured...

A core responsibility of a central bank is to ensure financial stability by acting as the "lender of last resort" through its Discount Window. The Discount Window, however, has not been effective because its usage is stigmatized. In this paper, we study experimentally how such stigma can be...

We study bank runs using a novel historical cross-country dataset that covers 184 countries over the past 200 years and combines a new narrative chronology with statistical indicators of bank deposit withdrawals. We document the following facts: (i) the unconditional likelihood of a bank run is...

We study bank runs using a novel historical cross-country dataset that covers 184 countries over the past 200 years and combines a new narrative chronology with statistical indicators of bank deposit withdrawals. We document the following facts: (i) the unconditional likelihood of a bank run is...

We propose a nonparametric measure of association between any number of random vectors that is based on the empirical copula process. The measure is insensitive to the dependence of components within vectors and only captures association between vectors as a whole. We calculate approximate...