Strategic Risk Modeling by Banks: Evidence from inside the Black Box

Abstract Regulators condition bank capital on risk but struggle to measure risk accurately. Capital requirements thus rely on inputs from banks’ internal risk models, and banks have discretion over modeling choices. Using novel hand-collected data we show that reported bank risk varies systematically with simulation method, holding period, and historical data size. Hence, modeling choices can be a significant channel of underreporting of risk. Consistent with this presumption we find that less-capitalized banks tend to choose less conservative methods. Moreover, banks using a softer simulation method display higher actual market risk, while reporting lower market risk to regulators. (JEL G01, G21, G28)

Authors

Institutions

Publication Details

Journal
The Review of Corporate Finance Studies
Published
2026-07-24
DOI
https://doi.org/10.1093/rcfs/cfag024
Primary Topic
Banking stability, regulation, efficiency
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strategic Risk Modeling by Banks: Evidence from inside the Black Box

Mike Mariathasan, Elizaveta Sizova, Ouarda Merrouche
The Review of Corporate Finance Studies
Banking stability, regulation, efficiency
article

Strategic Risk Modeling by Banks: Evidence from inside the Black Box

Mike Mariathasan, Elizaveta Sizova, Ouarda Merrouche
article en

Abstract

Abstract Regulators condition bank capital on risk but struggle to measure risk accurately. Capital requirements thus rely on inputs from banks’ internal risk models, and banks have discretion over modeling choices. Using novel hand-collected data we show that reported bank risk varies systematically with simulation method, holding period, and historical data size. Hence, modeling choices can be a significant channel of underreporting of risk. Consistent with this presumption we find that less-capitalized banks tend to choose less conservative methods. Moreover, banks using a softer simulation method display higher actual market risk, while reporting lower market risk to regulators. (JEL G01, G21, G28)

The Review of Corporate Finance Studies
Université Paris Nanterre (FR), Norwegian School of Economics (NO), KU Leuven (BE)
Openalex Percentile: Top 5%
Banking stability, regulation, efficiency
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Strategic Risk Modeling by Banks: Evidence from inside the Black Box — Mike Mariathasan, Elizaveta Sizova, et al. · The Review of Corporate Finance Studies (2026) | TGRS Research Map | TGRS