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Consistency of banks' internal probability of default estimates: Empirical evidence from the COVID-19 crisis

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  • Stepankova, Barbora
  • Teply, Petr

Abstract

The Basel III post-crisis reforms target the application of internal credit risk models for the estimation of the risk weighted assets of banks due to concerns about model risk. We use a unique dataset of 4.9 million probability of default (PD) estimates covering the January 2016 - June 2020 period sourced from 28 global banks to provide a deep insight into the comparability of model outputs. Our contribution is four-fold. Firstly, we confirm that there is a substantial variance in credit risk estimates. Secondly, we show that the level of PD variance is dependent on the entity type, industry, and location. Thirdly, we conclude that a considerable part of the variance is systematic, especially for credit risk estimates of funds. Finally, we illustrate the massive impact of the COVID-19 pandemic on the PD variance. The results highlight areas with relatively larger comparability issues, and they can be used by regulators to design more targeted policies.

Suggested Citation

  • Stepankova, Barbora & Teply, Petr, 2023. "Consistency of banks' internal probability of default estimates: Empirical evidence from the COVID-19 crisis," Journal of Banking & Finance, Elsevier, vol. 154(C).
    • Handle: RePEc:eee:jbfina:v:154:y:2023:i:c:s037842662300167x
    DOI: 10.1016/j.jbankfin.2023.106969
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    as
    1. Nickell, Pamela & Perraudin, William & Varotto, Simone, 2000. "Stability of rating transitions," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 203-227, January.
    2. Mariathasan, Mike & Merrouche, Ouarda, 2014. "The manipulation of basel risk-weights," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 300-321.
    3. Cummings, James R. & Durrani, Kassim J., 2016. "Effect of the Basel Accord capital requirements on the loan-loss provisioning practices of Australian banks," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 23-36.
    4. Danielsson, Jon & James, Kevin R. & Valenzuela, Marcela & Zer, Ilknur, 2016. "Model risk of risk models," Journal of Financial Stability, Elsevier, vol. 23(C), pages 79-91.
    5. Andrew G. Haldane & Vasileios Madouros, 2012. "The dog and the frisbee," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 109-159.
    6. Boucher, Christophe M. & Daníelsson, Jón & Kouontchou, Patrick S. & Maillet, Bertrand B., 2014. "Risk models-at-risk," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 72-92.
    7. Markus Behn & Rainer Haselmann & Vikrant Vig, 2022. "The Limits of Model‐Based Regulation," Journal of Finance, American Finance Association, vol. 77(3), pages 1635-1684, June.
    8. 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.
    9. Paul Glasserman & Xingbo Xu, 2014. "Robust risk measurement and model risk," Quantitative Finance, Taylor & Francis Journals, vol. 14(1), pages 29-58, January.
    10. Jacobson, Tor & Linde, Jesper & Roszbach, Kasper, 2006. "Internal ratings systems, implied credit risk and the consistency of banks' risk classification policies," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1899-1926, July.
    11. Ms. Sofiya Avramova & Mrs. Vanessa Le Lesle, 2012. "Revisiting Risk-Weighted Assets," IMF Working Papers 2012/090, International Monetary Fund.
    12. Telg, Sean & Dubinova, Anna & Lucas, Andre, 2023. "Covid-19, credit risk management modeling, and government support," Journal of Banking & Finance, Elsevier, vol. 147(C).
    13. Yuhong Xu, 2014. "Robust valuation and risk measurement under model uncertainty," Papers 1407.8024, arXiv.org.
    14. Pérez Montes, Carlos & Trucharte Artigas, Carlos & Cristófoli, María Elizabeth & Lavín San Segundo, Nadia, 2018. "The impact of the IRB approach on the risk weights of European banks," Journal of Financial Stability, Elsevier, vol. 39(C), pages 147-166.
    15. Taylor A. Begley & Amiyatosh Purnanandam & Kuncheng Zheng, 2017. "The Strategic Underreporting of Bank Risk," Review of Financial Studies, Society for Financial Studies, vol. 30(10), pages 3376-3415.
    16. repec:ces:ifodic:v:8:y:2010:i:2:p:14566986 is not listed on IDEAS
    17. James M. O'Brien & Pawel J. Szerszen, 2014. "An Evaluation of Bank VaR Measures for Market Risk During and Before the Financial Crisis," Finance and Economics Discussion Series 2014-21, Board of Governors of the Federal Reserve System (U.S.).
    18. Frydman, Halina & Schuermann, Til, 2008. "Credit rating dynamics and Markov mixture models," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1062-1075, June.
    19. 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.
    20. Carol Alexander & José María Sarabia, 2012. "Quantile Uncertainty and Value‐at‐Risk Model Risk," Risk Analysis, John Wiley & Sons, vol. 32(8), pages 1293-1308, August.
    21. Ferri, Giovanni & Pesic, Valerio, 2017. "Bank regulatory arbitrage via risk weighted assets dispersion," Journal of Financial Stability, Elsevier, vol. 33(C), pages 331-345.
    22. Francesco Vallascas & Jens Hagendorff, 2013. "The Risk Sensitivity of Capital Requirements: Evidence from an International Sample of Large Banks," Review of Finance, European Finance Association, vol. 17(6), pages 1947-1988.
    23. Bian, Xun & Lin, Zhenguo & Liu, Yingchun, 2018. "House price, loan-to-value ratio and credit risk," Journal of Banking & Finance, Elsevier, vol. 92(C), pages 1-12.
    24. Matthew Plosser & João A. C. Santos, 2014. "Banks' incentives and the quality of internal risk models," Staff Reports 704, Federal Reserve Bank of New York.
    25. Merikas, Andreas & Merika, Anna & Penikas, Henry I. & Surkov, Mikhail A., 2020. "The Basel II internal ratings based (IRB) model and the transition impact on the listed Greek banks," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    26. Livingston, Miles & Poon, Winnie P.H. & Zhou, Lei, 2018. "Are Chinese credit ratings relevant? A study of the Chinese bond market and credit rating industry," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 216-232.
    27. Berg, Tobias & Koziol, Philipp, 2017. "An analysis of the consistency of banks’ internal ratings," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 27-41.
    28. Liu, Cai, 2021. "The IRB model, bank regulatory arbitrage, and the Eurozone crisis," Journal of International Money and Finance, Elsevier, vol. 116(C).
    29. Martin Hellwig, 2010. "Capital Regulation after the Crisis: Business as Usual?," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 8(02), pages 40-46, July.
    30. 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.
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    More about this item

    Keywords

    Banking; Credit risk; Probability of default; Bank regulation; COVID-19;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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