Back to the Roots of Internal Credit Risk Models: Why Do Banks’ Risk-Weighted Asset Levels Converge over Time?
Victoria Böhnke,
Steven Ongena,
Florentina Paraschiv and
Endre J Reite
Additional contact information
Victoria Böhnke: University of Münster
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: Norwegian University of Science and Technology (NTNU) - Department of International Business
No 22-33, Swiss Finance Institute Research Paper Series from Swiss Finance Institute
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 (search for similar items in EconPapers)
JEL-codes: G21 G28 (search for similar items in EconPapers)
Pages: 91 pages
Date: 2022-04
New Economics Papers: this item is included in nep-ban, nep-cba, nep-isf and nep-rmg
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4087217 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:chf:rpseri:rp2233
Access Statistics for this paper
More papers in Swiss Finance Institute Research Paper Series from Swiss Finance Institute Contact information at EDIRC.
Bibliographic data for series maintained by Ridima Mittal ().