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Currency Crisis: Theory and Practice with Application to Croatia

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  • Ivo Krznar

Abstract

Following an initial overview of theoretical and empirical currency crisis models, the paper presents an early warning system of a currency crisis in Croatia, based on two standard empirical methods of researching and forecasting a currency crisis: the signalling method and the probit model. Measuring the index of exchange market pressure has so far indicated two currency crises in Croatia: one in September 1998 and the other in August 2001. The signalling method was used for the purpose of selecting the determinants of a currency crisis (in the period from January 1996 to March 2003) from a wide range of variables that are considered the best predictors of currency crises in the period of 12 months preceding them: the share of public finances in GDP, the share of the current account balance of the balance of payments in GDP, inflation, the share of freely available bank reserves in total bank assets, the rate of external debt growth, the rate of growth of the m2 multiplier, the deviation of the real exchange rate from the trend, the share of the foreign exchange assets of CNB in M4, and the growth of domestic credit. The currency crisis composite index, expressed as a weighted average of all the previously listed currency crisis indicators, shows a considerable predicting power of currency crisis in the sample. The statistically more rigorous probit model method exposes five variables among the indicators of vulnerability, of various forms of functional specification, that best empirically describe the characteristics of the periods preceding the two currency crises in Croatia. Thus there is a real exchange rate appreciation that is below the trend, a decrease in the share of the balance of public finances in GDP, a decrease in the share of the current account balance of the balance of payments in GDP, an increase in inflation and an increase in external debt, which increase the probability of a speculative attack on the kuna. As is the case with the composite indicator, the various goodness-of-fit measures of the customised probit model used in the Croatian example indicate a very high level of predicting power regarding the currency crisis in the sample. A more detailed analysis of each of the currency crisis indicators leads to the conclusion that the two currency crises in Croatia were not of the same nature. The indicators of the first crisis can be found in the literature on the third generation currency crises which describes the correlation between banking system difficulties and the currency crisis, while the signalling variables of the second crisis can be linked to the self-fulfilling characteristics of the second generation models of currency crises.

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  • Ivo Krznar, 2004. "Currency Crisis: Theory and Practice with Application to Croatia," Working Papers 12, The Croatian National Bank, Croatia.
  • Handle: RePEc:hnb:wpaper:12
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    3. Dapontas Dimitrios, 2014. "The Argentinian Peso Crisis (2014)," Scientific Annals of Economics and Business, Sciendo, vol. 61(2), pages 149-159, December.
    4. 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.
    5. Mete Feridun, 2006. "Currency Crises in Emerging Markets: An Application of Signals Approach to Turkey," Discussion Paper Series 2006_26, Department of Economics, Loughborough University, revised Dec 2006.
    6. Vesna Bucevska, 2011. "Growth effect of aid and its volatility: An individual country study in South Asian economies," Business and Economic Horizons (BEH), Prague Development Center, vol. 4(1), pages 13-26, January.
    7. Irfan Nurfalah & Aam Slamet Rusydiana & Nisful Laila & Eko Fajar Cahyono, 2018. "Early Warning to Banking Crises in the Dual Financial System in Indonesia: The Markov Switching Approach التحذير المبكر من الأزمات المصرفية في النظام المالي المزدوج في إندونيسيا: مقاربة ماركوف للتحويل," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 31(2), pages 133-156, July.
    8. Dapontas Dimitrios, 2012. "Were the Currency Crises in Eastern Europe (1995-2008) Predictable? An Empirical Approach," Scientific Annals of Economics and Business, Sciendo, vol. 59(2), pages 15-28, December.
    9. Mete Feridun, 2007. "Determinants of Currency Crises in Emerging Markets: An Empirical Investigation on Turkey," Discussion Paper Series 2007_01, Department of Economics, Loughborough University, revised Jan 2007.
    10. Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
    11. Albulescu Claudiu Tiberiu & Coroiu Sorina Ioana, 2009. "Early Warning System For The Romanian Banking Sector: The Caampl Approach," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 3(1), pages 458-466, May.

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    More about this item

    Keywords

    currency crisis; early warning system; signalling method; probit model; Croatia;
    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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