Back to the Roots of Internal Credit Risk Models: Does Risk Explain Why Banks’ Risk-Weighted Asset Levels Converge over Time?

104 Pages Posted: 20 Apr 2022 Last revised: 19 Jun 2023

See all articles by Victoria Böhnke

Victoria Böhnke

Deutsche Bundesbank; University of Münster

Steven Ongena

University of Zurich - Department Finance; Swiss Finance Institute; KU Leuven; NTNU Business School; Centre for Economic Policy Research (CEPR)

Florentina Paraschiv

Zeppelin University, Chair of Finance; Norwegian University of Science and Technology, Faculty of Economics and Management, NTNU Business School; University of St. Gallen, Institute for Operations Research and Computational Finance

Endre J Reite

NTNU Business School; BN Bank ASA; Norwegian University of Science and Technology (NTNU) - Department of International Business

Multiple version iconThere are 2 versions of this paper

Date Written: April 13, 2022

Abstract

The internal ratings-based (IRB) approach maps banks’ risk profiles more adequately than the standardized approach. After switching to IRB, banks’ risk-weighted asset (RWA) densities are thus expected to diverge, especially across countries with different supervisory strictness and risk levels. However, when examining 52 listed banks headquartered in 14 European countries that adopted the IRB approach, we observe a convergence of their RWA densities over time. We test if this convergence can be entirely explained by differences in the size of the banks, loss levels, country risk, and/or time of IRB implementation, yet this is not the case. Whereas banks in high-risk countries, with lax regulation, reduce their RWA densities, banks elsewhere increase theirs. Especially for banks in high-risk countries, RWA densities underestimate banks’ actual economic risk. Hence, the IRB approach allows for regulatory arbitrage, whereby authorities only enforce strict supervision on capital requirements if they do not jeopardize bank resilience.

Keywords: Capital regulation, credit risk, internal ratings-based approach, regulatory arbitrage, risk-weighted assets

JEL Classification: G21, G28

Suggested Citation

Böhnke, Victoria and Ongena, Steven R. G. and Paraschiv, Florentina and Reite, Endre J, Back to the Roots of Internal Credit Risk Models: Does Risk Explain Why Banks’ Risk-Weighted Asset Levels Converge over Time? (April 13, 2022). Swiss Finance Institute Research Paper No. 22-33, Available at SSRN: https://ssrn.com/abstract=4087217 or http://dx.doi.org/10.2139/ssrn.4087217

Victoria Böhnke (Contact Author)

Deutsche Bundesbank ( email )

Wilhelm-Epstein-Str. 14
Frankfurt/Main, 60431
Germany

University of Münster ( email )

Universitätsstraße 14-16
Münster, 48143
Germany

Steven R. G. Ongena

University of Zurich - Department Finance ( email )

Schönberggasse 1
Zürich, 8001
Switzerland

Swiss Finance Institute

c/o University of Geneva
40, Bd du Pont-d'Arve
CH-1211 Geneva 4
Switzerland

KU Leuven ( email )

Oude Markt 13
Leuven, Vlaams-Brabant 3000
Belgium

NTNU Business School ( email )

Norway

Centre for Economic Policy Research (CEPR)

London
United Kingdom

Florentina Paraschiv

Zeppelin University, Chair of Finance ( email )

Am Seemooser Horn 20
Friedrichshafen, 88045
Germany

Norwegian University of Science and Technology, Faculty of Economics and Management, NTNU Business School ( email )

Klæbuveien 72
Trondheim, NO-7030
Norway

University of St. Gallen, Institute for Operations Research and Computational Finance ( email )

Bodanstrasse 6
St. Gallen, 9000
Switzerland

Endre J Reite

NTNU Business School ( email )

Klæbuveien 72
Trondheim, 7030
Norway

BN Bank ASA ( email )

Kongens gate 2
Trondheim, 7013
Norway

Norwegian University of Science and Technology (NTNU) - Department of International Business

Norway

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