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Regimen changes and duration in the European Monetary System

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  • Simón Sosvilla-Rivero

    (FEDEA and Universidad Complutense de Madrid)

  • Reyes Maroto Illera

    (FEDEA)

Abstract

This paper examines the regime changes in the Exchange Rate Mechanism (ERM) of the European Monetary System (EMS), applying the duration model approach to weekly data of eight currencies participating in the ERM, covering the complete EMS history. When using the non-parametric (univariate) analysis, we found that for those regimens with long durations, the ERM would have been relatively stable, while for the (more common) regimes associated with short durations would have been more unstable. The probability of maintaining a certain regime is estimated to be 0.685. When applying a parametric (multivariate) analysis to investigate the role of other variables in the probability of a regime change, we conclude that the interest rate differential with Germany and the magnitude of the realignment would have negatively affected the duration of a given regime, while credibility would have positively influenced such duration. Finally, when distinguishing between groups of currencies, we observe that those in the core are more stable than those in the periphery, obtaining evidence against equality of survival functions among these groups of currencies.

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Bibliographic Info

Paper provided by Asociación Española de Economía y Finanzas Internacionales in its series Working Papers with number 02-05.

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Length: 32 pages
Date of creation: Dec 2002
Date of revision:
Handle: RePEc:aee:wpaper:0205

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Related research

Keywords: Duration models; exchange rates; European Monetary System;

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References

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  1. Weber, A.A., 1991. "EMS Credibility," Papers 9103, Tilburg - Center for Economic Research.
  2. Weber, A., 1991. "EMS Credibility," Discussion Paper 1991-3, Tilburg University, Center for Economic Research.
  3. Edin, P.A. & Vredin, A., 1991. "Devaluation Risk in Target Zones: Evidence from the Nordic Countries," Papers 1991g, Uppsala - Working Paper Series.
  4. Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero & Julián Andrada, . "Exchange-rate forecasts with simultaneous nearest-neighbour methods: Evidence from the EMS," Working Papers 98-17, FEDEA.
  5. Bertola, Giuseppe & Caballero, Ricardo, 1990. "Target Zones and Realignments," CEPR Discussion Papers 398, C.E.P.R. Discussion Papers.
  6. Krugman, Paul R, 1991. "Target Zones and Exchange Rate Dynamics," The Quarterly Journal of Economics, MIT Press, vol. 106(3), pages 669-82, August.
  7. Óscar Bajo Rubio & Simón Sosvilla Rivero & Fernando Fernández Rodríguez, 2000. "Asymmetry In The Ems: New Evidence Based On Non-Linear Forecasts," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 0001, Departamento de Economía - Universidad Pública de Navarra.
  8. Svensson, L.E.O., 1990. "The Simplest Test of Target Zone Credibility," Papers 469, Stockholm - International Economic Studies.
  9. Ozkan, F Gulcin & Sutherland, Alan, 1995. "Policy Measures to Avoid a Currency Crisis," Economic Journal, Royal Economic Society, vol. 105(429), pages 510-19, March.
  10. De Grauwe, Paul & Dewachter, Hans & Veestraeten, Dirk, 1999. "Explaining Recent European Exchange-Rate Stability," International Finance, Wiley Blackwell, vol. 2(1), pages 1-31, April.
  11. Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero & J. Martín-González., . "Credibility in the EMS: New evidence using nonlinear forecastability tests," Working Papers 97-14, FEDEA.
  12. Lars E. O. Svensson, 1992. "An Interpretation of Recent Research on Exchange Rate Target Zones," Journal of Economic Perspectives, American Economic Association, vol. 6(4), pages 119-144, Fall.
  13. Francisco Ledesma-Rodriguez & Manuel Navarro-Ibanez & Jorge Perez-Rodriguez & Simon Sosvilla-Rivero, 2005. "Assessing the credibility of a target zone: evidence from the EMS," Applied Economics, Taylor and Francis Journals, vol. 37(19), pages 2265-2287.
  14. Simon Sosvilla-Rivero & Fernando Fernandez-Rodriguez & Oscar Bajo-Rubio, 1999. "Exchange rate volatility in the EMS before and after the fall," Applied Economics Letters, Taylor and Francis Journals, vol. 6(11), pages 717-722.
  15. Kiefer, Nicholas M, 1988. "Economic Duration Data and Hazard Functions," Journal of Economic Literature, American Economic Association, vol. 26(2), pages 646-79, June.
  16. F. FernAndez-RodrIguez & S. Sosvilla-Rivero & J. Andrada-FElix, 2003. "Technical analysis in foreign exchange markets: evidence from the EMS," Applied Financial Economics, Taylor and Francis Journals, vol. 13(2), pages 113-122.
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Cited by:
  1. S. DeVicerte & P. Alvarez & J. Perez & C. Caso, 2008. "Does currency crisis identification matter?," Applied Financial Economics, Taylor and Francis Journals, vol. 18(5), pages 387-395.
  2. Francisco Perez-Bermejo & Simon Sosvilla-Rivero & Reyes Maroto-Illera, 2007. "An eclectic approach to currency crises: drawing lessons from the EMS experience," Applied Financial Economics, Taylor and Francis Journals, vol. 18(6), pages 503-519.

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