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Regimen changes and duration in the European Monetary System

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  • S. Sosvilla-Rivero
  • R. Maroto-Illera

Abstract

This article 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, it was 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, it is concluded 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, it is observed 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

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 35 (2003)
Issue (Month): 18 ()
Pages: 1923-1933

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Handle: RePEc:taf:applec:v:35:y:2003:i:18:p:1923-1933

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  1. F. FernAndez-RodrIguez & S. Sosvilla-Rivero & J. Andrada-FElix, 2003. "Technical analysis in foreign exchange markets: evidence from the EMS," Applied Financial Economics, Taylor & Francis Journals, vol. 13(2), pages 113-122.
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  4. Weber, A., 1991. "EMS Credibility," Discussion Paper, Tilburg University, Center for Economic Research 1991-3, Tilburg University, Center for Economic Research.
  5. 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, Departamento de Economía - Universidad Pública de Navarra 0001, Departamento de Economía - Universidad Pública de Navarra.
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  7. Fernandez-Rodriguez, Fernando & Sosvilla-Rivero, Simon & Andrada-Felix, Julian, 1999. "Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS," International Journal of Forecasting, Elsevier, vol. 15(4), pages 383-392, October.
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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 & Francis Journals, vol. 18(5), pages 387-395.

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