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Stress Testing the Corporate Loans Portfolio of the Canadian Banking Sector


  • Miroslav Misina
  • David Tessier
  • Shubhasis Dey


Stress testing, at its most general level, is an investigation of the performance of an entity under abnormal operating conditions. The authors focus on one set of entities--the Canadian banking sector--and investigate losses in the loans portfolio of this sector as a function of changing circumstances in the different industries in which these loans reside. These circumstances are characterized by means of one summary measure--sectoral probabilities of default--and this measure is modelled as a function of macroeconomic variables. Using this model, the authors assess the interrelationship between the macroeconomic environment and sectoral defaults, and perform a series of stress tests under different scenarios that are thought to be most pertinent to Canada. The tools underlying the authors' analysis are general and can be applied to other countries, as well as to other macroeconomic scenarios.

Suggested Citation

  • Miroslav Misina & David Tessier & Shubhasis Dey, 2006. "Stress Testing the Corporate Loans Portfolio of the Canadian Banking Sector," Staff Working Papers 06-47, Bank of Canada.
  • Handle: RePEc:bca:bocawp:06-47

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    References listed on IDEAS

    1. Harvir Kalirai & Martin Scheicher, 2002. "Macroeconomic Stress Testing: Preliminary Evidence for Austria," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 58-74.
    2. Glenn Hoggarth & Steffen Sorensen & Lea Zicchino, 2005. "Stress tests of UK banks using a VAR approach," Bank of England working papers 282, Bank of England.
    3. repec:onb:oenbwp:y:2002:i:3:b:3 is not listed on IDEAS
    4. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
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    Cited by:

    1. de Bandt, O. & Bruneau, C. & El Amri, W., 2008. "Stress testing and corporate finance," Journal of Financial Stability, Elsevier, vol. 4(3), pages 258-274, September.
    2. Grundke, Peter & Pliszka, Kamil, 2015. "A macroeconomic reverse stress test," Discussion Papers 30/2015, Deutsche Bundesbank.
    3. Jiménez, Gabriel & Mencía, Javier, 2009. "Modelling the distribution of credit losses with observable and latent factors," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 235-253, March.
    4. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2010. "The financial accelerator in an evolving credit network," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1627-1650, September.
    5. Gauthier, Céline & Lehar, Alfred & Souissi, Moez, 2012. "Macroprudential capital requirements and systemic risk," Journal of Financial Intermediation, Elsevier, vol. 21(4), pages 594-618.
    6. Céline Gauthier & Moez Souissi & Xuezhi Liu, 2014. "Introducing Funding Liquidity Risk in a Macro Stress-Testing Framework," International Journal of Central Banking, International Journal of Central Banking, vol. 10(4), pages 105-142, December.
    7. Miroslav Misina & David Tessier, 2008. "Non-Linearities, Model Uncertainty, and Macro Stress Testing," Staff Working Papers 08-30, Bank of Canada.
    8. Zedginidze Zviad, 2012. "Linking Macroeconomic Dynamics to Georgian Credit Portfolio Risk," EERC Working Paper Series 12/07e, EERC Research Network, Russia and CIS.
    9. Breuer, Thomas & Jandačka, Martin & Mencía, Javier & Summer, Martin, 2012. "A systematic approach to multi-period stress testing of portfolio credit risk," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 332-340.
    10. Ruja, Catalin, 2014. "Macro Stress-Testing Credit Risk in Romanian Banking System," MPRA Paper 58244, University Library of Munich, Germany.
    11. Ramdane Djoudad & Étienne Bordeleau, 2013. "Méthodologie de construction de séries de taux de défaut pour l’industrie canadienne," Discussion Papers 13-2, Bank of Canada.

    More about this item


    Financial stability; Financial institutions;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

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