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Predicting Financial Crises and Signal Indicators in G7 Countries

Author

Listed:
  • Alpdoğan Hilal

    (Sakarya University of Applied Science, Sakarya, Turkey.)

  • Akal Mustafa

    (Sakarya University, Sakarya, Turkey.)

  • Kabasakal Ali

    (Sakarya University, Sakarya, Turkey.)

  • Görmüş Şakir

    (Marmara University, İstanbul, Turkey.)

Abstract

This study aims to detect financial crises and their signal indicators in G7 countries from 1990 to 2016. For this purpose, fourteen leading economic indicators supported by the economic literature were examined for signaling and the 24-month crisis window before the beginning of a crisis. Among them, successful crisis estimators were determined by the noise signal ratio. The identified crisis estimators provide essential information about the dynamics of economies and the channels of the crisis affecting them. Our findings may help policymakers determine adverse policies against crisis, avoid significant losses, and stabilize the world economy and national economies.

Suggested Citation

  • Alpdoğan Hilal & Akal Mustafa & Kabasakal Ali & Görmüş Şakir, 2023. "Predicting Financial Crises and Signal Indicators in G7 Countries," Zagreb International Review of Economics and Business, Sciendo, vol. 26(1), pages 29-53.
  • Handle: RePEc:vrs:zirebs:v:26:y:2023:i:1:p:29-53:n:1002
    DOI: 10.2478/zireb-2023-0002
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    References listed on IDEAS

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    1. Morris Goldstein & Graciela Kaminsky & Carmen Reinhart, 2017. "Methodology and Empirical Results," World Scientific Book Chapters, in: TRADE CURRENCIES AND FINANCE, chapter 11, pages 397-436, World Scientific Publishing Co. Pte. Ltd..
    2. Edin, Per-Anders & Vredin, Anders, 1993. "Devaluation Risk in Target Zones: Evidence from the Nordic Countries," Economic Journal, Royal Economic Society, vol. 103(416), pages 161-175, January.
    3. 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.
    4. Frankel, Jeffrey A. & Rose, Andrew K., 1996. "Currency Crashes in Emerging Markets: Empirical Indicators," Center for International and Development Economics Research (CIDER) Working Papers 233424, University of California-Berkeley, Department of Economics.
    5. 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.
    6. Reinhart, Carmen & Goldstein, Morris & Kaminsky, Graciela, 2000. "Assessing financial vulnerability, an early warning system for emerging markets: Introduction," MPRA Paper 13629, University Library of Munich, Germany.
    7. Hali J. Edison, 2003. "Do indicators of financial crises work? An evaluation of an early warning system," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 11-53.
    8. Andrew Berg & Catherine Pattillo, 1999. "Are Currency Crises Predictable? A Test," IMF Staff Papers, Palgrave Macmillan, vol. 46(2), pages 1-1.
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    More about this item

    Keywords

    Financial Crises; Signal Approach; KLR Approach; G7 Countries;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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