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Bank capital-at-risk: measuring the impact of cyclical systemic risk on future bank losses

Author

Listed:
  • Lang, Jan Hannes
  • Forletta, Marco

Abstract

Cyclical systemic risk tends to build up well ahead of financial crises and is measured best by credit and asset price dynamics. This article shows that high levels of cyclical systemic risk lead to large downside risks to the bank-level return on assets three to five years ahead. Hence, exuberant credit and asset price dynamics tend to increase considerably the likelihood of large future bank losses. Given the tight link between bank losses and reductions in bank capital, the results presented in this article can be used to quantify the level of “Bank capital-at-risk” (BCaR) for a banking system. BCaR is a useful tool for macroprudential policy makers as it helps to quantify how much additional bank resilience could be needed if imbalances unwind and systemic risk materialises. JEL Classification: G01, G17, C22, C54, G21

Suggested Citation

  • Lang, Jan Hannes & Forletta, Marco, 2019. "Bank capital-at-risk: measuring the impact of cyclical systemic risk on future bank losses," Macroprudential Bulletin, European Central Bank, vol. 9.
  • Handle: RePEc:ecb:ecbmbu:2019:0009:1
    Note: 2731285
    as

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    File URL: https://www.ecb.europa.eu//pub/financial-stability/macroprudential-bulletin/html/ecb.mpbu201910_1~195bd170e0.en.html
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    Citations

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    Cited by:

    1. Anastasiya Ivanova & Alona Shmygel & Ihor Lubchuk, 2021. "The Growth-at-Risk (GaR) Framework: Implication For Ukraine," IHEID Working Papers 10-2021, Economics Section, The Graduate Institute of International Studies.
    2. Mariña Martínez-Malvar & Laura Baselga-Pascual, 2020. "Bank Risk Determinants in Latin America," Risks, MDPI, vol. 8(3), pages 1-20, September.
    3. Elekdag, Selim & Malik, Sheheryar & Mitra, Srobona, 2020. "Breaking the Bank? A Probabilistic Assessment of Euro Area Bank Profitability," Journal of Banking & Finance, Elsevier, vol. 120(C).

    More about this item

    Keywords

    bank profitability; growth-at-risk; local projections; quantile regressions; systemic risk;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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