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Determinants of Exchange-Rate Volatility: The Case of the New EU Members

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Abstract

Exchange-rate stability is not only a criterion for joining the Economic Monetary Union (EMU) but also a fundamental property of stable economic development. At present, new members of the European Union are trying to achieve this stability. However, there are several factors that could slow or interrupt these countries’ EMU-integration process. For this reason, this paper analyzes key factors contributing to euro exchange-rate volatility in the new EU members: economic openness, the “news” factor, and the exchange-rate regime. A TARCH (threshold autoregressive conditional heteroskedasticity) model is employed to model the volatility of exchange rates. Although this paper focuses on each country separately, in general the results suggest that economic openness has a calming effect on exchange-rate volatility, news significantly affects volatility, and flexible regimes experience higher degrees of volatility. The extent of all these effects varies substantially across country, however.

Suggested Citation

  • Juraj Stanèík, 2007. "Determinants of Exchange-Rate Volatility: The Case of the New EU Members," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 57(9-10), pages 414-432, October.
  • Handle: RePEc:fau:fauart:v:57:y:2007:i:9-10:p:414-432
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    References listed on IDEAS

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    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
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    6. Aleš Bulíø, 2005. "Liberalized Markets Have More Stable Exchange Rates: Short-Run Evidence from Four Transition Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 55(5-6), pages 206-231, May.
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    Cited by:

    1. Bednarik, Radek, 2008. "Analýza volatility devizových kurzů vybraných ekonomik
      [The Analysis of Volatility of Selected Countries' Exchange Rates]
      ," MPRA Paper 15046, University Library of Munich, Germany.

    More about this item

    Keywords

    exchange rate volatility; TARCH; openness; news; regime; EMU integration;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • F02 - International Economics - - General - - - International Economic Order and Integration
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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