Several countries now require banks or money market funds to impose state-contingent costs on shortterm creditors to absorb financial stress. We study these requirements as part of the broader prudential toolkit in a model with five key ingredients: banks may face an aggregate stress state with...

While the Dodd-Frank Act (DFA) broadens the regulatory reach to reduce systemic risks to the U.S. financial system, it does not address some important risks that could migrate to or emanate from entities outside the federal safety net. At the same time, it limits the types of interventions by...

We examine the financial conditions of dealers that participated in two of the Federal Reserve's lender-of-last-resort (LOLR) facilities -- the Term Securities Lending Facility (TSLF) and the Primary Dealer Credit Facility (PDCF) -- that provided liquidity against a range of assets during...

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 construct a new systemic risk measure that quantifies vulnerability to fire-sale spillovers using detailed regulatory balance sheet data for U.S. commercial banks and repo market data for broker-dealers. Even for moderate shocks in normal times, fire-sale externalities can be substantial. For...

We explore the capital structure and governance of a mortgage-insuring securitization utility operating with government reinsurance for systemic or “tail” risk. The structure we propose for the replacement of the GSEs focuses on aligning incentives for appropriate pricing and transfer of...

A large literature at the intersection of economics and finance offers prescriptions for regulating banks to increase financial stability. This literature abstracts from the discretion that accounting standards give banks over financial reporting, creating a gap between the information assumed...

We propose a novel estimator for the dynamic panel model, which solves the failure of strict exogeneity by calculating the bias in the first-order conditions as a function of the autoregressive parameter and solving the resulting equation. We show that this estimator performs well as compared...

We extend the popular bias-based test of Stock and Yogo (2005) for instrument strength in linear instrumental variables regressions with multiple endogenous regressors to be robust to heteroskedasticity and autocorrelation. Equivalently, we extend the robust test of Montiel Olea and Pflueger...