Predicting the stressed expected loss of large U.S. banks

B-Tier
Journal: Journal of Banking & Finance
Year: 2022
Volume: 134
Issue: C

Authors (2)

Jondeau, Eric (Université de Lausanne) Khalilzadeh, Amir (not in RePEc)

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We develop a methodology to measure the expected loss 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 measure SEL as the difference between the mark-to-market value of the assets in the downturn and the book value of the liabilities. Based on large U.S. commercial banks, we empirically demonstrate that individual SEL predicts the loss of capital projected by banks in a severely adverse scenario and that aggregate SEL predicts macroeconomic variables.

Technical Details

RePEc Handle
repec:eee:jbfina:v:134:y:2022:i:c:s0378426621002727
Journal Field
Finance
Author Count
2
Added to Database
2026-01-25