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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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  • De Jong , F., 1991. "A Univariate Analysis of EMS Exchange Rates Using a Target Zone Model," Papers 9155, Tilburg - Center for Economic Research.
  • Handle: RePEc:fth:tilbur:9155
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    Cited by:

    1. Reitz Stefan & Taylor Mark P., 2013. "The Danish krone-euro exchange rate and Danmark Nationalbank intervention operations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 239-249, May.
    2. Ghysels, Eric & Guay, Alain, 2003. "Structural change tests for simulated method of moments," Journal of Econometrics, Elsevier, vol. 115(1), pages 91-123, July.
    3. 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.
    4. Yu‐Fu Chen & Michael Funke & Richhild Moessner, 2018. "Informal one‐sided target zone model and the Swiss franc," Review of International Economics, Wiley Blackwell, vol. 26(5), pages 1130-1153, November.
    5. 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.
    6. 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.
    7. José Torres, 2007. "A non-parametric analysis of ERM exchange rate fundamentals," Empirical Economics, Springer, vol. 32(1), pages 67-84, April.
    8. Forde, Martin & Kumar, Rohini & Zhang, Hongzhong, 2015. "Large deviations for the boundary local time of doubly reflected Brownian motion," Statistics & Probability Letters, Elsevier, vol. 96(C), pages 262-268.
    9. Reitz, Stefan & Taylor, Mark P., 2013. "Exchange rates in target zones: Evidence from the Danish Krone," Kiel Working Papers 1827, Kiel Institute for the World Economy (IfW).
    10. Beetsma, R.M.W.J., 1991. "Bands and statistical properties of EMS exchange rates : A Monte Carlo investigation of three target zone model," Discussion Paper 1991-60, Tilburg University, Center for Economic Research.
    11. Miller, J. Isaac & Park, Joon Y., 2010. "Nonlinearity, nonstationarity, and thick tails: How they interact to generate persistence in memory," Journal of Econometrics, Elsevier, vol. 155(1), pages 83-89, March.
    12. Peter Carr & Zura Kakushadze, 2015. "FX Options in Target Zone," Papers 1512.01527, arXiv.org, revised Jul 2016.
    13. Bekaert, Geert & Gray, Stephen F., 1998. "Target zones and exchange rates:: An empirical investigation," Journal of International Economics, Elsevier, vol. 45(1), pages 1-35, June.
    14. Flandreau, Marc, 1998. "The burden of intervention: externalities in multilateral exchange rates arrangements," Journal of International Economics, Elsevier, vol. 45(1), pages 137-171, June.
    15. Galindo, Arturo J., 2000. "Estimating credibility in Colombia's exchange-rate target zone," Journal of Development Economics, Elsevier, vol. 63(2), pages 473-484, December.
    16. Jesús Rodríguez López & Hugo Rodríguez Mendizábal, 2007. "The Optimal Degree of Exchange Rate Flexibility: a Target Zone Approach," Review of International Economics, Wiley Blackwell, vol. 15(4), pages 803-822, September.
    17. Miller, J. Isaac & Park, Joon Y., 2005. "How They Interact to Generate Persistency in Memory," Working Papers 2005-01, Rice University, Department of Economics.
    18. Benoît Cœuré & Antoine Magnier, 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.
    19. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    20. Miller, J. Isaac, 2011. "Testing the bounds: Empirical behavior of target zone fundamentals," Economic Modelling, Elsevier, vol. 28(4), pages 1782-1792, July.
    21. 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, April.
    22. 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.

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