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Simulating the Resilience of the Canadian Banking Sector Under Stress: An Update of the Bank of Canada’s Top-Down Solvency Assessment Tool

Author

Listed:
  • Omar Abdelrahman
  • David Chen
  • Cameron MacDonald
  • Adi Mordel
  • Guillaume Ouellet Leblanc

Abstract

We present a technical description of the Top-Down Solvency Assessment (TDSA) tool. As a solvency stress-testing tool, TDSA is used to assess the banking sector’s capital resilience to hypothetical future risk scenarios.

Suggested Citation

  • Omar Abdelrahman & David Chen & Cameron MacDonald & Adi Mordel & Guillaume Ouellet Leblanc, 2025. "Simulating the Resilience of the Canadian Banking Sector Under Stress: An Update of the Bank of Canada’s Top-Down Solvency Assessment Tool," Technical Reports 128, Bank of Canada.
  • Handle: RePEc:bca:bocatr:128
    DOI: 10.34989/tr-128
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    References listed on IDEAS

    as
    1. Brian Peterson & Tom Roberts, 2016. "Household Risk Assessment Model," Technical Reports 106, Bank of Canada.
    2. Hirtle, Beverly & Kovner, Anna & Vickery, James & Bhanot, Meru, 2016. "Assessing financial stability: The Capital and Loss Assessment under Stress Scenarios (CLASS) model," Journal of Banking & Finance, Elsevier, vol. 69(S1), pages 35-55.
    3. Olivier Gervais & Marc-André Gosselin, 2014. "Analyzing and Forecasting the Canadian Economy through the LENS Model," Technical Reports 102, Bank of Canada.
    4. Stiroh, Kevin J. & Rumble, Adrienne, 2006. "The dark side of diversification: The case of US financial holding companies," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2131-2161, August.
    5. Paul Corrigan & Hélène Desgagnés & José Dorich & Vadym Lepetyuk & Wataru Miyamoto & Yang Zhang, 2021. "ToTEM III: The Bank of Canada’s Main DSGE Model for Projection and Policy Analysis," Technical Reports 119, Bank of Canada.
    6. Emanuel Kohlscheen & Andrés Murcia Pabón & Juan Contreras, 2018. "Determinants of bank profitability in emerging markets," BIS Working Papers 686, Bank for International Settlements.
    7. Gabriel Bruneau & Thibaut Duprey & Ruben Hipp, 2022. "Forecasting Banks’ Corporate Loan Losses Under Stress: A New Corporate Default Model," Technical Reports 122, Bank of Canada.
    8. Stiroh, Kevin J, 2004. "Diversification in Banking: Is Noninterest Income the Answer?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(5), pages 853-882, October.
    9. Patrick Blagrave & Claudia Godbout & Justin-Damien Guénette & René Lalonde & Nikita Perevalov, 2020. "IMPACT: The Bank of Canada’s International Model for Projecting Activity," Technical Reports 116, Bank of Canada.
    10. Cameron MacDonald & Virginie Traclet, 2018. "The Framework for Risk Identification and Assessment," Technical Reports 113, Bank of Canada.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • C - Mathematical and Quantitative Methods
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G - Financial Economics
    • G1 - Financial Economics - - General Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G2 - Financial Economics - - Financial Institutions and Services
    • 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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