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Inside the labyrinth of Basel risk-weighted assets: how not to get lost

Author

Listed:
  • Francesco cannata

    (Bank of Italy)

  • Simone Casellina

    (Bank of Italy)

  • Gregorio Guidi

    (Bank of Italy)

Abstract

Many studies have questioned the reliability of banks� calculations of risk-weighted assets (RWA) for prudential purposes. The significant divergences found at international level are taken as indicating excessive subjectivity in the current rules governing banks� risk measurement and capital requirement calculations. This paper emphasises the need for appropriate metrics to compare banks� riskiness under a risk-sensitive framework (either Basel 2 or Basel 3). The ratio of RWA to total assets � which is widely used for peer analyses � is a valuable starting point, but when analysis becomes more detailed it needs to be supplemented by other indicators. Focusing on credit risk, we propose an analytical methodology to disentangle the major factors in RWA differences and, using data from Italian banks (given the inadequate degree of detail of Pillar 3 reports), we show that a large part of the interbank dispersion is explained by the business mix of individual institutions as well as the use of different prudential approaches (standardised and IRB). In conclusion we propose a simple data template that international banks could use to apply the framework suggested.

Suggested Citation

  • Francesco cannata & Simone Casellina & Gregorio Guidi, 2012. "Inside the labyrinth of Basel risk-weighted assets: how not to get lost," Questioni di Economia e Finanza (Occasional Papers) 132, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:opques:qef_132_12
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    File URL: https://www.bancaditalia.it/pubblicazioni/qef/2012-0132/QEF_132.pdf
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    References listed on IDEAS

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    1. Rafael Repullo & Javier Suarez, 2013. "The Procyclical Effects of Bank Capital Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 452-490.
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    Cited by:

    1. Domenica Tropeano, 2020. "Does the BRRD affect the retail banking business model in the Euro area?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 49(2), July.
    2. Cucinelli, Doriana & Battista, Maria Luisa Di & Marchese, Malvina & Nieri, Laura, 2018. "Credit risk in European banks: The bright side of the internal ratings based approach," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 213-229.
    3. Daniela Venanzi, 2019. "Da che dipende il rischio delle banche? Il beta fondamentale delle banche europee (What does banks' riskiness depend on? The fundamental beta of Europe's banks)," Moneta e Credito, Economia civile, vol. 72(286), pages 105-131.
    4. Schlam, Carina & Woyand, Corinna, 2023. "The rollout of internal credit risk models: Implications for the novel partial-use philosophy," Discussion Papers 07/2023, Deutsche Bundesbank.
    5. Beltratti, Andrea & Paladino, Giovanna, 2013. "Why do banks optimize risk weights? The relevance of the cost of equity capital," MPRA Paper 46410, University Library of Munich, Germany.
    6. Alessandro Roncaglia, 2012. "Keynesian uncertainty and the shaky foundations of statistical risk assessment models," PSL Quarterly Review, Economia civile, vol. 65(263), pages 437-454.
    7. Barucci, Emilio & Milani, Carlo, 2018. "Do European banks manipulate risk weights?," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 47-57.
    8. Alessandro Ronaglia, 2012. "Note bibliografiche: Gallino L. (a cura di): La lotta di classe dopo la lotta di classe," Moneta e Credito, Economia civile, vol. 65(260), pages 335-339.
    9. Brunella Bruno & Giacomo Nocera & Andrea Resti, 2015. "The credibility of European banks’ risk-weighted capital: structural differences or national segmentations?," BAFFI CAREFIN Working Papers 1509, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    10. Ferri, Giovanni & Pesic, Valerio, 2017. "Bank regulatory arbitrage via risk weighted assets dispersion," Journal of Financial Stability, Elsevier, vol. 33(C), pages 331-345.
    11. Elisabetta Montanaro, 2013. "Regole di Basilea e modelli di vigilanza: quale convergenza? (Basel rules and supervisory models: What convergence?)," Moneta e Credito, Economia civile, vol. 66(264), pages 415-442.
    12. Daniela Venanzi, 2021. "Large Is Riskier: The Case of European Commercial Banks," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(1), pages 1-19, August.
    13. Liu, Cai, 2021. "The IRB model, bank regulatory arbitrage, and the Eurozone crisis," Journal of International Money and Finance, Elsevier, vol. 116(C).
    14. Raffaele Gallo, 2020. "The impact of the IRB approach on the relationship between the cost of credit for public companies and financial market conditions," Temi di discussione (Economic working papers) 1290, Bank of Italy, Economic Research and International Relations Area.
    15. Raffaele Gallo, 2021. "The IRB approach and bank lending to firms," Temi di discussione (Economic working papers) 1347, Bank of Italy, Economic Research and International Relations Area.

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    More about this item

    Keywords

    Basel Accord; risk-weighted assets; banking supervision; credit risk;
    All these keywords.

    JEL classification:

    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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