This study documents the association between the quality of risk management practices and operational loss realizations at large financial institutions in the United States. Using detailed supervisory data, we find that companies with weak risk management practices experience higher and more...

We examine the long-term return performance of U.S. IPOs underwritten by relationship banks. We show that, over one- to three-year horizons, IPOs managed by relationship banks experience buy-and-hold benchmark-adjusted returns that are similar to those observed for a matching sample of stocks...

Using supervisory data from large U.S. bank holding companies (BHCs), we document that BHCs suffer more operational losses during episodes of extreme storms. Among different operational loss types, losses due to external fraud, BHCs' failure to meet obligations to clients and faulty business...

How does business complexity affect risk management in financial institutions? The commonly used risk measures rely on either balance-sheet or market-based information, both of which may suffer from identification problems when it comes to answering this question. Balance-sheet measures, such as...

This article examines the impact of financial derivatives on systematic risk of publicly listed U.S. bank holding companies (BHCs) from 1997 to 2012. We find that the use of financial derivatives is positively and significantly related to BHCs' systematic risk exposures. Higher use of interest...

Recent regulatory proposals tie a financial institution's systemic importance to its complexity. However, little is known about how complexity affects banks' risk management. Using the 1996-1999 deregulations of U.S. banks' nonbanking activities as a natural experiment, we show that banks'...

This paper illustrates channels by which regulations that require banks to hold liquid assets can either increase or decrease a bank's incentive to take risk with its remaining ineligible assets. A greater capacity to respond to liquidity stress increases the potential profits a bank would put...

This study examines the speed of adjustment of the leverage and regulatory capital ratios between 2002 and 2018 for large commercial banks of the USA. The study applies a two-step system GMM technique to obtain the speed of adjustment. The results prove that higher-quality capital requires...

This paper uses Bayesian model averaging (BMA) techniques to examine the driving factors of equity returns of U.S. financial institutions. The main advantage of BMA is accounting for model uncertainty. For the period 1986-2010, we fi nd that the most likely model explaining banking sector...