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On the long-run calibration of the credit-to-GDP gap as a banking crisis predictor

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  • Kauko, Karlo
  • Tölö, Eero

Abstract

The trend deviation of the Credit-to-GDP ratio ("Basel gap") is a widely used early warning indicator of banking crises. It is calculated with the one-sided Hodrick-Prescott filter using an extremely large value of the smoothing parameter λ. We recalibrate the smoothing parameter with panel data covering almost one and a half centuries and 15 countries. The optimal λ is found to be much lower than previously suggested. The 2008 crisis does not dominate the results. The long sample almost eliminates filter initialisation problems.

Suggested Citation

  • Kauko, Karlo & Tölö, Eero, 2019. "On the long-run calibration of the credit-to-GDP gap as a banking crisis predictor," Bank of Finland Research Discussion Papers 6/2019, Bank of Finland.
    • Handle: RePEc:zbw:bofrdp:rdp2019_006
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    References listed on IDEAS

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    1. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    2. David Aikman & Andrew G. Haldane & Benjamin D. Nelson, 2015. "Curbing the Credit Cycle," Economic Journal, Royal Economic Society, vol. 125(585), pages 1072-1109, June.
    3. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    4. Schüler, Yves S. & Peltonen, Tuomas A. & Hiebert, Paul, 2017. "Coherent financial cycles for G-7 countries: Why extending credit can be an asset," ESRB Working Paper Series 43, European Systemic Risk Board.
    5. Mathias Drehmann & James Yetman, 2018. "Why you should use the Hodrick-Prescott filter - at least to generate credit gaps," BIS Working Papers 744, Bank for International Settlements.
    6. Mathias Drehmann & Claudio Borio & Leonardo Gambacorta & Gabriel Jiminez & Carlos Trucharte, 2010. "Countercyclical capital buffers: exploring options," BIS Working Papers 317, Bank for International Settlements.
    7. Carsten Detken & Olaf Weeken & Lucia Alessi & Diana Bonfim & Miguel M. Boucinha & Christian Castro & Sebastian Frontczak & Gaston Giordana & Julia Giese & Nadya Jahn & Jan Kakes & Benjamin Klaus & Jan, 2014. "Operationalising the countercyclical capital buffer: indicator selection, threshold identification and calibration options," ESRB Occasional Paper Series 05, European Systemic Risk Board.
    8. Asli Demirgüç-Kunt & Enrica Detragiache, 1998. "The Determinants of Banking Crises in Developing and Developed Countries," IMF Staff Papers, Palgrave Macmillan, vol. 45(1), pages 81-109, March.
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    Cited by:

    1. Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2023. "Credit growth, the yield curve and financial crisis prediction: Evidence from a machine learning approach," Journal of International Economics, Elsevier, vol. 145(C).

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    More about this item

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • N20 - Economic History - - Financial Markets and Institutions - - - General, International, or Comparative

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