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A forewarning indicator system for financial crises: the case of six Central and Eastern European countries

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  • Irène Andreou

    (GATE - Groupe d'analyse et de théorie économique - UL2 - Université Lumière - Lyon 2 - ENS LSH - Ecole Normale Supérieure Lettres et Sciences Humaines - CNRS - Centre National de la Recherche Scientifique)

  • Gilles Dufrénot

    (GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Alain Sand-Zantman

    (GATE - Groupe d'analyse et de théorie économique - UL2 - Université Lumière - Lyon 2 - ENS LSH - Ecole Normale Supérieure Lettres et Sciences Humaines - CNRS - Centre National de la Recherche Scientifique)

  • Aleksandra Zdzienicka-Durand

    (GATE - Groupe d'analyse et de théorie économique - UL2 - Université Lumière - Lyon 2 - ENS LSH - Ecole Normale Supérieure Lettres et Sciences Humaines - CNRS - Centre National de la Recherche Scientifique)

Abstract

We propose a measure of the probability of crises associated with an aggregate indicator, where the percentage of false alarms and the proportion of missed signals can be combined to give an appreciation of the vulnerability of an economy. In this perspective, the important issue is not only to determine whether a system produces true predictions of a crisis, but also whether there are forewarning signs of a forthcoming crisis prior to its actual occurrence. To this end, we adopt the approach initiated by Kaminsky, Lizondo and Reinhart (1998), analyzing each indicator and calculating each threshold separately. We depart from this approach in that each country is also analyzed separately, permitting the creation of a more "custom-made" early warning system for each one.

Suggested Citation

  • Irène Andreou & Gilles Dufrénot & Alain Sand-Zantman & Aleksandra Zdzienicka-Durand, 2007. "A forewarning indicator system for financial crises: the case of six Central and Eastern European countries," Post-Print halshs-00142433, HAL.
    • Handle: RePEc:hal:journl:halshs-00142433
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00142433
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    References listed on IDEAS

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    9. 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..
    10. Arias, Guillaume & Erlandsson, Ulf, 2004. "Regime switching as an alternative early warning system of currency crises - an application to South-East Asia," Working Papers 2004:11, Lund University, Department of Economics.
    11. Flood, Robert P. & Garber, Peter M., 1984. "Collapsing exchange-rate regimes : Some linear examples," Journal of International Economics, Elsevier, vol. 17(1-2), pages 1-13, August.
    12. Mr. Abdul d Abiad, 2003. "Early Warning Systems: A Survey and a Regime-Switching Approach," IMF Working Papers 2003/032, International Monetary Fund.
    13. Mr. Andrea Bubula & Ms. Inci Ötker, 2003. "Are Pegged and Intermediate Regimes More Crisis Prone?," IMF Working Papers 2003/223, International Monetary Fund.
    14. Kumar, Mohan & Moorthy, Uma & Perraudin, William, 2003. "Predicting emerging market currency crashes," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 427-454, September.
    15. Krugman, Paul, 1979. "A Model of Balance-of-Payments Crises," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 11(3), pages 311-325, August.
    16. Bussiere, Matthieu & Fratzscher, Marcel, 2006. "Towards a new early warning system of financial crises," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 953-973, October.
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    Cited by:

    1. Hans-Eggert Reimers, 2012. "Early Warning Indicator Model of Financial Developments Using an Ordered Logit," Business and Economic Research, Macrothink Institute, vol. 2(2), pages 171-191, December.
    2. Ponomarenko, Alexey, 2013. "Early warning indicators of asset price boom/bust cycles in emerging markets," Emerging Markets Review, Elsevier, vol. 15(C), pages 92-106.
    3. Davide Furceri & Aleksandra Zdzienicka, 2011. "The real effect of financial crises in the European transition economies," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 19(1), pages 1-25, January.
    4. Casu, Barbara & Clare, Andrew & Saleh, Nashwa, 2011. "Towards a new model for early warning signals for systemic financial fragility and near crises: an application to OECD countries," MPRA Paper 37043, University Library of Munich, Germany.
    5. Ponomarenko, Alexey, 2013. "Early warning indicators of asset price boom/bust cycles in emerging markets," Emerging Markets Review, Elsevier, vol. 15(C), pages 92-106.
    6. Irène Andreou & Aleksandra Zdzienicka, 2009. "Financial Vulnerability in the Central and Eastern European Countries," Working Papers 0907, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    7. Dieter Gerdesmeier & Hans-Eggert Reimers & Barbara Roffia, 2011. "Early Warning Indicators for Asset Price Booms," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 1-19, June.
    8. Oet, Mikhail V. & Gramlich, Dieter & Sarlin, Peter, 2016. "Evaluating measures of adverse financial conditions," Journal of Financial Stability, Elsevier, vol. 27(C), pages 234-249.
    9. Mpho Bosupeng, 2018. "Leading Indicators and Financial Crisis: A Multi-Sectoral Approach Using Signal Extraction," Journal of Empirical Studies, Conscientia Beam, vol. 5(1), pages 20-44.
    10. repec:zbw:bofitp:2012_022 is not listed on IDEAS

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    More about this item

    Keywords

    composite indicator; currency crisis; early warning system; crise de change; indicateur composé; système d'alarme précoce;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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