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Weighing up the Credit-to-GDP Gap: A Cautionary Note

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  • Özer Karagedikli

    (The South East Asian Central Banks (SEACEN) Research and Training Centre)

  • Ole Rummel

    (The South East Asian Central Banks (SEACEN) Research and Training Centre)

Abstract

It has been argued that credit-to-GDP gaps (credit gap) are useful early warning indicators for banking crises. In addition, the Basel Committee on Banking Supervision has also advocated using these gaps - estimated using a one-sided Hodrick-Prescott filter with a smoothing parameter of 400,000 - to inform policy on the appropriate counter-cyclical capital buffer. We use the weighted average representation of the same filter and show that it attaches high weights to observations from the past, including the distant past: up to 40 lags (10 years) of past data are used in the calculation of the one-sided trend/permanent component of the credit-to-GDP ratio. We show how past data that belongs to the ‘old-regime’ prior to the crises continue to influence the estimates of the trend for years to come. By using narrative evidence from a number of countries that experienced deep financial crises, we show that this leads to some undesirable influence on the trend estimates that is at odds with the post-crisis environment.

Suggested Citation

  • Özer Karagedikli & Ole Rummel, 2020. "Weighing up the Credit-to-GDP Gap: A Cautionary Note," Working Papers wp40, South East Asian Central Banks (SEACEN) Research and Training Centre.
  • Handle: RePEc:sea:wpaper:wp40
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    References listed on IDEAS

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    1. Burger, John D. & Warnock, Francis E. & Warnock, Veronica Cacdac, 2022. "A natural level of capital flows," Journal of Monetary Economics, Elsevier, vol. 130(C), pages 1-16.
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    Cited by:

    1. Mariano Kulish & Adrian Pagan, 2021. "Turning point and oscillatory cycles: Concepts, measurement, and use," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 977-1006, September.

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    More about this item

    Keywords

    Credit gap; Hodrick-Prescott filter; Trend-cycle decomposition;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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