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Backtesting European Stress Tests

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  • Philippon, Thomas
  • Camara, Boubacar
  • Pessarossi, Pierre

Abstract

We provide a first evaluation of the quality of banking stress tests in the European Union. We use stress tests scenarios and banks’ estimated losses to recover bank level exposures to macroeconomic factors. Once macro outcomes are realized, we predict banks’ losses and compare them to actual losses. We find that stress tests are informative and unbiased on average. Model-based losses are good predictors of realized losses and of banks’ equity returns around announcements of macroeconomic news. When we perform our tests for the Union as a whole, we do not detect biases in the construction of the scenarios, or in the estimated losses across banks of different sizes and ownership structures. There is, however, some evidence that exposures are underestimated in countries with ex-ante weaker banking systems. Our results have implications for the modeling of credit losses, quality controls of supervision, and the political economy of financial regulation.

Suggested Citation

  • Philippon, Thomas & Camara, Boubacar & Pessarossi, Pierre, 2017. "Backtesting European Stress Tests," CEPR Discussion Papers 11805, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:11805
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    Cited by:

    1. Stéphane Loisel, 2014. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013669, HAL.
    2. Tirupam Goel & Isha Agarwal, 2021. "Limits of stress-test based bank regulation," BIS Working Papers 953, Bank for International Settlements.
    3. Niepmann, Friederike & Stebunovs, Viktors, 2018. "Modeling Your Stress Away," CEPR Discussion Papers 12624, C.E.P.R. Discussion Papers.
    4. Haselmann, Rainer & Wahrenburg, Mark, 2018. "How demanding and consistent is the 2018 stress test design in comparison to previous exercises? Banking union scrutiny," SAFE White Paper Series 54, Leibniz Institute for Financial Research SAFE.
    5. Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
    6. Lukas Ahnert & Pascal Vogt & Volker Vonhoff & Florian Weigert, 2020. "Regulatory stress testing and bank performance," European Financial Management, European Financial Management Association, vol. 26(5), pages 1449-1488, November.
    7. Denisa Banulescu-Radu & Christophe Hurlin & Jérémy Leymarie & Olivier Scaillet, 2021. "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Management Science, INFORMS, vol. 67(9), pages 5730-5754, September.
    8. Cecilia Parlatore, 2018. "Designing Stress Scenarios," 2018 Meeting Papers 1090, Society for Economic Dynamics.
    9. Sahin, Cenkhan & de Haan, Jakob & Neretina, Ekaterina, 2020. "Banking stress test effects on returns and risks," Journal of Banking & Finance, Elsevier, vol. 117(C).
    10. Kleszcz Klaudia & Nehrebecka Natalia, 2020. "Financial liability stress tests: an approach based on the use of a rating migration matrix," Central European Economic Journal, Sciendo, vol. 7(54), pages 12-32, January.
    11. Henri Fraisse & Christophe Hurlin, 2024. "Modèles internes des banques pour le calcul du capital réglementaire (IRB) et intelligence artificielle," Débats économiques et financiers 44, Banque de France.
    12. Cyril Pouvelle., 2022. "An Analysis of Financial Conglomerate Resilience: A Perspective on bancassurance in France [Une analyse de la résilience des conglomérats financiers : Une perspective sur la bancassurance en France," Débats économiques et financiers 39, Banque de France.
    13. Guerrieri, Luca & Modugno, Michele, 2024. "The information content of stress test announcements," Journal of Banking & Finance, Elsevier, vol. 160(C).
    14. David M. Arseneau, 2020. "How Would U.S. Banks Fare in a Negative Interest Rate Environment?," International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 269-308, October.
    15. Robert McKeown, 2017. "How Vulnerable Is The Canadian Banking System To Fire-sales?," Working Paper 1381, Economics Department, Queen's University.
    16. Eric Monnet, & Angelo Riva, & Stefano Ungaro., 2021. "The Real Effects of Bank Runs. Evidence from the French Great Depression (1930-1931) [Les effets réels des ruées bancaires : l’exemple de la Grande Dépression en France (1930-1931)]," Débats économiques et financiers 37, Banque de France.
    17. Ramadiah, Amanah & Fricke, Daniel & Caccioli, Fabio, 2022. "Backtesting macroprudential stress tests," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    18. Bakoush, Mohamed & Gerding, Enrico & Mishra, Tapas & Wolfe, Simon, 2022. "An integrated macroprudential stress test of bank liquidity and solvency," Journal of Financial Stability, Elsevier, vol. 60(C).
    19. Agarwal, Isha & Goel, Tirupam, 2024. "Bank regulation and supervision: A symbiotic relationship," Journal of Banking & Finance, Elsevier, vol. 163(C).
    20. Niepmann, Friederike & Stebunovs, Viktors, 2024. "Modeling your stress away," Journal of Banking & Finance, Elsevier, vol. 158(C).
    21. Ahnert, Lukas & Vogt, Pascal & Vonhoff, Volker & Weigert, Florian, 2020. "Regulatory stress testing and bank performance," CFR Working Papers 20-03, University of Cologne, Centre for Financial Research (CFR).
    22. J. Hombert & V. Lyonnet, 2017. "Intergenerational Risk Sharing in Life Insurance: Evidence from France," Débats économiques et financiers 30, Banque de France.

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    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • G2 - Financial Economics - - Financial Institutions and Services
    • N2 - Economic History - - Financial Markets and Institutions

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