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Volatility regime-switching in European exchange rates prior to monetary unification

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  • Wilfling, Bernd

Abstract

Several theoretical models suggest that the mere announcement of entering a currency union in the future triggers instantaneous changes in exchange-rate volatility. First, this paper develops a Markov-switching framework by which, in fact, volatility regime-switching in foreign exchange rates can be detected for all currencies in the run-up to the European Monetary Union (EMU). Second, the paper attributes the currency-specific volatility regime-switches to decisive economic, institutional and political factors prior to EMU. All in all, the empirical results suggest that for future EMU accession countries volatility regime-switching models provide a useful tool for a broad range of financial applications (e.g. for the pricing of currency options or for the construction of EMU probability calculators).

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Bibliographic Info

Article provided by Elsevier in its journal Journal of International Money and Finance.

Volume (Year): 28 (2009)
Issue (Month): 2 (March)
Pages: 240-270

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Handle: RePEc:eee:jimfin:v:28:y:2009:i:2:p:240-270

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Web page: http://www.elsevier.com/locate/inca/30443

Related research

Keywords: EMU Exchange-rate volatility Markov-switching volatility modeling EMU uncertainty;

References

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Citations

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Cited by:
  1. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
  2. M. Frömmel, 2007. "Volatility Regimes in Central and Eastern European Countries’ Exchange Rates," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/487, Ghent University, Faculty of Economics and Business Administration.
  3. Max Meulemann & Martin Uebele & Bernd Wilfling, 2012. "The Restoration of the Gold Standard after the US Civil War: A Volatility Analysis," Global COE Hi-Stat Discussion Paper Series gd12-251, Institute of Economic Research, Hitotsubashi University.
  4. Dias, José G. & Ramos, Sofia B., 2013. "A core–periphery framework in stock markets of the euro zone," Economic Modelling, Elsevier, vol. 35(C), pages 320-329.
  5. José Dias & Sofia Ramos, 2014. "The aftermath of the subprime crisis: a clustering analysis of world banking sector," Review of Quantitative Finance and Accounting, Springer, vol. 42(2), pages 293-308, February.
  6. Yuan, Chunming, 2011. "Forecasting exchange rates: The multi-state Markov-switching model with smoothing," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 342-362, April.

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