We seek to determine the sources and the extent of funding cost differences between Global Systemically Important Banks (G-SIBs) and non-G-SIBs in the U.S. We build on earlier studies that have asserted that G-SIBs have had lower funding costs, and have attributed this to an assumed...

We assess the efficacy of systemic risk measures that rely on U.S. financial firms' stock return co-movements with market- or sector-wide returns under stress from 1927 to 2023. We ascertain stress episodes based on widening of corporate bond spreads and narrative dating. Systemic risk measures...

While both size and complexity are important for the largest U.S. bank holding companies (BHCs), specific types of complexity and their patterns across banks are not well understood. We introduce a range of measures of organizational, business, and geographic complexity. Comparing 2007 with...

We develop a methodology to measure the capital shortfall of commercial banks in a market downturn, which we call stressed expected loss (SEL). We simulate a market downturn as a negative shock on interest rate and credit market risk factors that reflect the banks' market-sensitive assets. We...

Fintech has increasingly become part of the global economy with the evolution of technology, increasing investments in fintech firms, and greater integration between traditional incumbent financial firms and fintech. Since the 2007-2009 financial crisis, research has also paid more attention to...

The market share of foreign-owned banks (subsidiaries, branches, and agencies) in the United States grew dramatically during the 1980s and early 1990s, amid fears that foreign banks were out-competing U.S.-owned banks in their home market. However, more recent data show that growth of the market...

Fintech has increasingly become a part of the global economy with the evolution of technology, increasing investments in fintech firms, and greater integration between traditional incumbent financial firms and fintech. Since the 2007-2009 financial crisis, more attention has also been given to...

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...