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A novel risk management perspective for macroprudential policy

Author

Listed:
  • Chavleishvili, Sulkhan
  • Fahr, Stephan
  • Kremer, Manfred
  • Manganelli, Simone
  • Schwaab, Bernd
Abstract
When considering the use of macroprudential instruments to manage financial imbalances, macroprudential policymakers face an intertemporal trade-off between facilitating short-term expected growth and containing medium-term downside risks to the economy. To assist policymakers in assessing this trade-off, in this article we propose a risk management framework which extends the well-known notion of growth-at-risk to consider the entire predictive real GDP growth distribution, with a view to quantifying the macroprudential policy stance. A novel empirical model fitted to euro area data allows us to study direct and indirect interactions between financial vulnerabilities, financial stress and real GDP growth, incorporating non-linear amplification effects among all variables. Our framework can support policymakers by facilitating model-based macro-financial stress tests and model-based assessments of when to adjust macroprudential instruments. JEL Classification: G21, C33

Suggested Citation

  • Chavleishvili, Sulkhan & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "A novel risk management perspective for macroprudential policy," Research Bulletin, European Central Bank, vol. 87.
    • Handle: RePEc:ecb:ecbrbu:2021:87.1:
    Note: 373346
    as

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    References listed on IDEAS

    as
    1. Kremer, Manfred & Lo Duca, Marco & Holló, Dániel, 2012. "CISS - a composite indicator of systemic stress in the financial system," Working Paper Series 1426, European Central Bank.
    2. repec:ecb:ecbwps:20111426 is not listed on IDEAS
    3. Martin, Alberto & Mendicino, Caterina & Van der Ghote, Alejandro, 2021. "On the interaction between monetary and macroprudential policies," Working Paper Series 2527, European Central Bank.
    4. White, Halbert & Kim, Tae-Hwan & Manganelli, Simone, 2015. "VAR for VaR: Measuring tail dependence using multivariate regression quantiles," Journal of Econometrics, Elsevier, vol. 187(1), pages 169-188.
    5. Chavleishvili, Sulkhan & Engle, Robert F. & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "The risk management approach to macro-prudential policy," Working Paper Series 2565, European Central Bank.
    6. Chavleishvili, Sulkhan & Fahr, Stephan & Kremer, Manfred & Manganelli, Simone & Schwaab, Bernd, 2021. "A risk management perspective on macroprudential policy," Working Paper Series 2556, European Central Bank.
    7. Sulkhan Chavleishvili & Simone Manganelli, 2024. "Forecasting and stress testing with quantile vector autoregression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 66-85, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Škrinjarić, Tihana, 2024. "Growth-at-risk for macroprudential policy stance assessment: a survey," Bank of England working papers 1075, Bank of England.
    2. Ballouk, Hossein & Ben Jabeur, Sami & Challita, Sandra & Chen, Chaomei, 2024. "Financial stability: A scientometric analysis and research agenda," Research in International Business and Finance, Elsevier, vol. 70(PA).
    3. Tihana Škrinjarić, 2023. "Macroprudential stance assessment: problems of measurement, literature review and some comments for the case of Croatia," Working Papers 72, The Croatian National Bank, Croatia.

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    More about this item

    Keywords

    financial conditions; Growth-at-risk; macroprudential policy.; quantile vector autoregression; stress testing;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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