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Credibility of Exchange Rate Policies in Selected EU New Members: Evidence from High Frequency Data

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Abstract

We examine the daily exchange rate dynamics in selected EU new member states (Czech Republic, Poland, Romania, and Slovakia) using GARCH and TARCH models between 1999 and 2004. We show that these countries tried to reduce volatility of the spot exchange rate despite their official policy of free floating and inflation targeting. However, we find that the low credibility of exchange rate policy implied higher volatility of exchange rates when it substantially deviated from the implicit target rates for all countries. Finally, we find significant asymmetric effects of the volatility of exchange rates in all new member states.

Suggested Citation

  • Jarko Fidrmuc & Roman Horváth, 2006. "Credibility of Exchange Rate Policies in Selected EU New Members: Evidence from High Frequency Data," Working Papers IES 2006/28, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2006.
    • Handle: RePEc:fau:wpaper:wp2006_28
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    References listed on IDEAS

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    1. Egert, Balazs & Komarek, Lubos, 2006. "Foreign exchange interventions and interest rate policy in the Czech Republic: Hand in glove?," Economic Systems, Elsevier, vol. 30(2), pages 121-140, June.
    2. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(2), pages 379-408.
    3. Jesus Crespo Cuaresma & Balázs Égert & Ronald MacDonald, 2004. "Nonlinear Exchange Rate Dynamics in Target Zones," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 46-69.
    4. Baillie, Richard T & Bollerslev, Tim, 2002. "The Message in Daily Exchange Rates: A Conditional-Variance Tale," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 60-68, January.
    5. Jesús Crespo‐Cuaresma & Jarko Fidrmuc & Ronald MacDonald, 2005. "The monetary approach to exchange rates in the CEECs," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 395-416, April.
    6. Mikael Bask & Jarko Fidrmuc, 2009. "Fundamentals and Technical Trading: Behavior of Exchange Rates in the CEECs," Open Economies Review, Springer, vol. 20(5), pages 589-605, November.
    7. Coricelli, Fabrizio & Jazbec, Bostjan & Masten, Igor, 2006. "Exchange rate pass-through in EMU acceding countries: Empirical analysis and policy implications," Journal of Banking & Finance, Elsevier, vol. 30(5), pages 1375-1391, May.
    8. Chmelarova, Viera & Schnabl, Gunther, 2006. "Exchange rate stabilization in developed and underdeveloped capital markets," Working Paper Series 636, European Central Bank.
    9. Louis Kuijs & Alain Borghijs, 2004. "Exchange Rates in Central Europe: A Blessing or a Curse?," IMF Working Papers 2004/002, International Monetary Fund.
    10. Paul De Grauwe & Gunther Schnabl, 2005. "Nominal Versus Real Convergence – EMU Entry Scenarios for the New Member States," Kyklos, Wiley Blackwell, vol. 58(4), pages 537-555, November.
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    Cited by:

    1. Daniel Stav�rek, 2010. "Exchange rate volatility and the asymmetric fluctuation band on the way to the Eurozone," Applied Economics Letters, Taylor & Francis Journals, vol. 17(1), pages 81-86, January.
    2. Stavarek, Daniel, 2007. "On Asymmetry of Exchange Rate Volatility in New EU Member and Candidate Countries," MPRA Paper 7298, University Library of Munich, Germany.

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    More about this item

    Keywords

    Exchange rates; target zones; ERM II; inflation targeting; GARCH;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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