Technology has changed how discrimination manifests itself in financial services. Replacing human discretion with algorithms in decision-making roles reduces taste-based discrimination, and new modeling techniques have expanded access to financial services to households who were previously...

This technical note describes the Forward-Looking Analysis of Risk Events (FLARE) model, which is a top-down model that helps assess how well the banking system is positioned to weather exogenous macroeconomic shocks. FLARE estimates banking system capital under varying macroeconomic scenarios,...

By stepping between bilateral counterparties, central counterparties (CCPs) transform credit exposure, thereby improving financial stability. But, large CCPs are concentrated and interconnected with major global banks. Moreover, although they mitigate credit risk, CCPs create liquidity risks,...

This note explores the potential effects of the widespread adoption of a global stablecoin (GSC) on key aggregate financial sector balance sheets in the United States. To do this, we map out cash flows of GSC transactions among financial sector entities using a stylized set of 't-accounts'. By...

We provide data and code that successfully reproduces nearly all crosssectional stock return predictors. Our 319 characteristics draw from previous meta-studies, but we differ by comparing our t-stats to the original papers' results. For the 161 characteristics that were clearly significant in...

The COVID-19 pandemic and the mitigation efforts put in place to contain it delivered the most severe blow to the U.S. economy since the Great Depression. In this paper, we argue that the Federal Reserve acted decisively and with dispatch to deploy all the tools in its conventional kit and to...

This paper proposes a dynamic multi-factor copula for use in high dimensional time series applications. A novel feature of our model is that the assignment of individual variables to groups is estimated from the data, rather than being pre-assigned using SIC industry codes, market capitalization...

We use disaggregated U.S. data and a border discontinuity design to show that more generous unemployment insurance (UI) policies lower bank deposits. We test several channels that could explain this decline and find evidence consistent with households lowering their precautionary savings. Since...

We propose an efficient procedure to solve for policy counterfactuals in linear models with occasionally binding constraints. The procedure does not require knowledge of the structural or reduced-form equations of the model, its state variables, or its shock processes. Forecasts of the variables...

This paper proposes a new model for high-dimensional distributions of asset returns that utilizes mixed frequency data and copulas. The dependence between returns is decomposed into linear and nonlinear components, enabling the use of high frequency data to accurately forecast linear dependence,...