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A Univariate Analysis of EMS Exchange Rates Using a Target Zone Model

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  • de Jong, F

Abstract

The models in the literature on exchange-rate target zones imply a non-linear time series model for the exchange rate. We show how the parameters of such models can be estimated and develop Maximum Likelihood and Method of Simulated Moments estimators for the target zone model of Krugman (1991). The Maximum Likelihood estimator is based on a computationally attractive approximation to the exact predictive density of the continuous time model. Monte Carlo experiments are used to assess the properties of this estimator. In the empirical part we estimate the model with data on recent EMS exchange rates. We find that the Krugman (1991) target zone model is not able to explain the full observed kurtosis and conditional heteroscedasticity of the exchange-rate returns. Copyright 1994 by John Wiley & Sons, Ltd.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 9 (1994)
Issue (Month): 1 (Jan.-March)
Pages: 31-45

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Handle: RePEc:jae:japmet:v:9:y:1994:i:1:p:31-45

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Cited by:
  1. José Torres, 2007. "A non-parametric analysis of ERM exchange rate fundamentals," Empirical Economics, Springer, vol. 32(1), pages 67-84, April.
  2. Arturo José Galindo, . "Estimating Credibility in Colombia's Exchange Rate Target Zone," Borradores de Economia 103, Banco de la Republica de Colombia.
  3. Consuelo Gámez Amián & José L. Torres, 2004. "A Non-parametric reassessment of target zone nonlinearities: The Spanish Peseta/Deutsche Mark exchange rate," Economic Working Papers at Centro de Estudios Andaluces E2004/73, Centro de Estudios Andaluces.
  4. Bekaert, G.R.J. & Gray, S.F., 1997. "Target zones and exchange rates: An empirical investigation," Discussion Paper 1997-22, Tilburg University, Center for Economic Research.
  5. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2013. "Exchange Rate Target Zones: A Survey Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 247-268, 04.
  6. Jesús Rodríguez López & Hugo Rodríguez Mendizábal, 2006. "The optimal degree of exchange rate flexibility: A target zone approach," Working Papers 06.22, Universidad Pablo de Olavide, Department of Economics.
  7. Mark P. Taylor & Stefan Reitz, 2013. "Exchange Rates in Target Zones - Evidence from the Danish Krone," Kiel Working Papers 1827, Kiel Institute for the World Economy.
  8. Flandreau, Marc, 1996. "The Burden of Intervention: Externalities in Multilateral Exchange Rates Arrangements," CEPR Discussion Papers 1504, C.E.P.R. Discussion Papers.
  9. Eric Guysels & Alain Guay, 1998. "Structural Change Tests for Simulated Method of Moments," Cahiers de recherche CREFE / CREFE Working Papers 61, CREFE, Université du Québec à Montréal.
  10. Miller, J. Isaac, 2011. "Testing the bounds: Empirical behavior of target zone fundamentals," Economic Modelling, Elsevier, vol. 28(4), pages 1782-1792, July.
  11. Ma, Yue & Kanas, Angelos, 2000. "Testing for nonlinear Granger causality from fundamentals to exchange rates in the ERM," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(1), pages 69-82, January.
  12. Taylor, Mark P. & Iannizzotto, Matteo, 2001. "On the mean-reverting properties of target zone exchange rates: a cautionary note," Economics Letters, Elsevier, vol. 71(1), pages 117-129, April.
  13. Beetsma, Roel M. W. J., 1995. "EMS exchange rate bands: a Monte Carlo investigation of three target zone models," Journal of International Money and Finance, Elsevier, vol. 14(2), pages 311-328, April.
  14. Antoine Magnier & Benoît Cœuré, 1996. "Crédibilité et fondamentaux macro-économiques au sein du SME : un examen empirique," Économie et Prévision, Programme National Persée, vol. 123(2), pages 113-146.
  15. Miller, J. Isaac & Park, Joon Y., 2005. "How They Interact to Generate Persistency in Memory," Working Papers 2005-01, Rice University, Department of Economics.

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