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Stressed but not Helpless: Strategic Behaviour of Banks Under Adverse Market Conditions

Author

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  • Grzegorz Halaj
  • Sofia Priazhkina

Abstract

We model bank management actions in severe stress test conditions using a game-theoretical framework. Banks update their balance sheets to strategically maximize risk-adjusted returns to shareholders given three regulatory constraints and feedback effects related to fire sales, interactions of loan supply and demand, and deteriorating funding conditions. The framework allows us to study the role of strategic behaviors in amplifying or mitigating adverse macrofinancial shocks in a banking system and the role of macroprudential policies in the mitigation of systemic risk. In a macro-consistent stress testing application, we show that a trade-off can arise between banking stability (solvency) and macroeconomic stability (lending) and test whether the release of a countercyclical capital buffer can reduce systemic risk.

Suggested Citation

  • Grzegorz Halaj & Sofia Priazhkina, 2021. "Stressed but not Helpless: Strategic Behaviour of Banks Under Adverse Market Conditions," Staff Working Papers 21-35, Bank of Canada.
  • Handle: RePEc:bca:bocawp:21-35
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    References listed on IDEAS

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    1. Nicola Cetorelli & Linda S. Goldberg, 2016. "Organizational complexity and balance sheet management in global banks," Staff Reports 772, Federal Reserve Bank of New York.
    2. Busch, Ramona & Drescher, Christian & Memmel, Christoph, 2017. "Bank stress testing under different balance sheet assumptions," Discussion Papers 07/2017, Deutsche Bundesbank.
    3. Ferstl, Robert & Weissensteiner, Alex, 2011. "Asset-liability management under time-varying investment opportunities," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 182-192, January.
    4. Gülpinar, Nalan & Pachamanova, Dessislava, 2013. "A robust optimization approach to asset-liability management under time-varying investment opportunities," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 2031-2041.
    5. Cameron MacDonald & Virginie Traclet, 2018. "The Framework for Risk Identification and Assessment," Technical Reports 113, Bank of Canada.
    6. Jiménez, Gabriel & Ongena, Steven & Peydró, José-Luis & Saurina, Jesús, 2012. "Credit Supply and Monetary Policy: Identifying the Bank Balance-Sheet Channel with Loan Applications," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 102(5), pages 2301-2326.
    7. Grzegorz Hałaj, 2016. "Dynamic Balance Sheet Model With Liquidity Risk," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(07), pages 1-37, November.
    8. Mr. Ivo Krznar & Mr. Troy D Matheson, 2017. "Towards Macroprudential Stress Testing: Incorporating Macro-Feedback Effects," IMF Working Papers 2017/149, International Monetary Fund.
    9. Charles Gaa & Xuezhi Liu & Cameron MacDonald & Xiangjin Shen, 2019. "Assessing the Resilience of the Canadian Banking System," Staff Analytical Notes 2019-16, Bank of Canada.
    10. Manuel Adelino & Miguel A. Ferreira, 2016. "Bank Ratings and Lending Supply: Evidence from Sovereign Downgrades," The Review of Financial Studies, Society for Financial Studies, vol. 29(7), pages 1709-1746.
    11. M. I. Kusy & W. T. Ziemba, 1986. "A Bank Asset and Liability Management Model," Operations Research, INFORMS, vol. 34(3), pages 356-376, June.
    12. Hałaj, Grzegorz, 2013. "Optimal asset structure of a bank - bank reactions to stressful market conditions," Working Paper Series 1533, European Central Bank.
    13. Jose Fique, 2017. "The MacroFinancial Risk Assessment Framework (MFRAF), Version 2.0," Technical Reports 111, Bank of Canada.
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    Cited by:

    1. David Aikman & Daniel Beale & Adam Brinley-Codd & Anne-Caroline Hüser & Giovanni Covi & Caterina Lepore, 2023. "Macro-Prudential Stress Test Models: A Survey," IMF Working Papers 2023/173, International Monetary Fund.
    2. Skavysh, Vladimir & Priazhkina, Sofia & Guala, Diego & Bromley, Thomas R., 2023. "Quantum monte carlo for economics: Stress testing and macroeconomic deep learning," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
    3. Jing Yang & Hélène Desgagnés & Grzegorz Halaj & Yaz Terajima, 2022. "COVID and Financial Stability: Practice Ahead of Theory," Discussion Papers 2022-18, Bank of Canada.
    4. Vladimir Skavysh & Sofia Priazhkina & Diego Guala & Thomas Bromley, 2022. "Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning," Staff Working Papers 22-29, Bank of Canada.

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    More about this item

    Keywords

    Central bank research; Economic models; Financial institutions; Financial stability; Financial system regulation and policies;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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