We provide empirical evidence for the existence, magnitude, and economic impact of stigma associated with banks borrowing from the Federal Reserve's discount window facility. We find that, during the height of the financial crisis, banks were willing to pay an average premium of at least 37...

We model how a cyber attack may be amplified through the U.S. financial system, focusing on the wholesale payments network. We estimate that the impairment of any of the five most active U.S. banks will result in significant spillovers to other banks, with 38 percent of the network affected on...

Market disruptions in response to the COVID pandemic spurred calls for the consideration of marketwide central clearing of Treasury securities, which might better enable dealers to intermediate large customer trading flows. We assess the netting efficiencies of increased central clearing using...

We analyze how systemic cyber risk in the wholesale payments network relates to adverse financial conditions. We show that at the onset of the COVID-19 pandemic, payment activity increased, became more concentrated, and showed intraday liquidity stress. Cyber vulnerability was elevated in late...

We estimate the cost of capital for the banking industry and find that while the cost of capital soared for banks in the financial crisis, after the passage of the Dodd-Frank Act, the value-weighted cost of capital for banks fell differentially more than did the cost of capital for nonbanks. The...

We examine sources of systemic risk (threshold size, complexity, and interconnectedness) with factors constructed from equity returns of large financial firms, after accounting for standard risk factors. From the factor loadings and factor returns, we estimate the implicit government subsidy for...

Does the intensity of supervision affect quantifiable outcomes at supervised firms? We develop a novel proxy to identify plausibly exogenous variation in the intensity of supervision across large U.S. bank holding companies (BHCs), based on the size rank of a BHC within its Federal Reserve...

We study bank supervision by combining a theoretical model that distinguishes supervision from regulation and a novel dataset on work hours of Federal Reserve supervisors. We highlight the trade-offs between the benefits and costs of supervision and use the model to interpret the relationship...

We measure bank supervision using the database of supervisory issues, known as matters requiring attention or immediate attention, raised by Federal Reserve examiners to banking organizations. The volume of supervisory issues increases with banks' asset size, especially for the largest and most...