Modelling IRB Risk‐Weighted Assets: Looking Beyond Stress Tests
Josef Švéda,
Jiří Panoš and
Vojtěch Siuda
Economic Notes, 2025, vol. 54, issue 2
Abstract:
We propose an enhanced methodology for modelling forward‐looking projections of banks' credit risk IRB risk‐weighted assets (RWA), a critical component of regulatory capital adequacy ratios. Our approach focuses on granular modelling of the internal risk structure of banks' IRB portfolios, offering more accurate estimations compared to the traditional aggregate‐level methods commonly used by many regulatory stress testing frameworks. This improvement seeks to reduce the risk of significant misestimation of RWA, which can distort solvency measures and mislead perceptions of banks' financial health. Our methodology is straightforward to replicate and applicable to various uses, including not only stress testing but also calibrations of macroprudential tools. We demonstrate the advantages of our approach over traditional methods and apply it to estimate the impact of cyclical credit parameters deterioration on RWA and the corresponding calibration of the countercyclical capital buffer (CCyB) for the Czech banking sector.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/ecno.70010
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:bla:ecnote:v:54:y:2025:i:2:n:e70010
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0391-5026
Access Statistics for this article
More articles in Economic Notes from Banca Monte dei Paschi di Siena SpA
Bibliographic data for series maintained by Wiley Content Delivery ().