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A Non-parametric analysis of ERM exchange rate fundamentals

In this paper we present evidence concerning the number of common stochastic trends in three major ERM exchange rates. The results indicate the presence of a single common trend driving these currencies and from this we suggest that the common trend can be considered as the ERM non-parametric fundamentals for the three selected currencies. Using a non-parametric technique, the Alternating Conditional Expectations (ACE) algorithm, we obtain evidence of the existence of non-linearities for two out of three currencies with a functional form, related to the estimated non-parametric fundamentals, close to the S-shape given by the basic target zone model.

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Paper provided by Centro de Estudios Andaluces in its series Economic Working Papers at Centro de Estudios Andaluces with number E2004/25.

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Length: 26 pages
Date of creation: 2004
Date of revision:
Handle: RePEc:cea:doctra:e2004_25
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  1. Kasa, Kenneth, 1992. "Common stochastic trends in international stock markets," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 95-124, February.
  2. Peter C.B. Phillips & Pierre Perron, 1986. "Testing for a Unit Root in Time Series Regression," Cowles Foundation Discussion Papers 795R, Cowles Foundation for Research in Economics, Yale University, revised Sep 1987.
  3. Denis Kwiatkowski & Peter C.B. Phillips & Peter Schmidt, 1991. "Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?," Cowles Foundation Discussion Papers 979, Cowles Foundation for Research in Economics, Yale University.
  4. Ma, Yue & Kanas, Angelos, 2000. "Testing for a nonlinear relationship among fundamentals and exchange rates in the ERM," Journal of International Money and Finance, Elsevier, vol. 19(1), pages 135-152, February.
  5. 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.
  6. Paul R. Krugman, 1988. "Target Zones and Exchange Rate Dynamics," NBER Working Papers 2481, National Bureau of Economic Research, Inc.
  7. Meese, Richard A & Rose, Andrew K, 1990. "Nonlinear, Nonparametric, Nonessential Exchange Rate Estimation," American Economic Review, American Economic Association, vol. 80(2), pages 192-96, May.
  8. Robert P. Flood & Andrew K. Rose, 1993. "Fixing Exchange Rates: A Virtual Quest for Fundamentals," NBER Working Papers 4503, National Bureau of Economic Research, Inc.
  9. Lindberg, H. & Soderlind, P., 1991. "Testing the Basic Target Zone Model on Swedish Data," Papers 488, Stockholm - International Economic Studies.
  10. Donald J. Mathieson & Robert P. Flood & Andrew K. Rose, 1991. "An Empirical Exploration of Exchange Rate Target-Zones," IMF Working Papers 91/15, International Monetary Fund.
  11. 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.
  12. MacDonald, Ronald & Taylor, Mark P, 1990. "Exchange Rates, Policy Convergence and the European Monetary System," CEPR Discussion Papers 444, C.E.P.R. Discussion Papers.
  13. de Jong, F, 1994. "A Univariate Analysis of EMS Exchange Rates Using a Target Zone Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 9(1), pages 31-45, Jan.-Marc.
  14. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  15. Meese, Richard A & Rose, Andrew K, 1991. "An Empirical Assessment of Non-linearities in Models of Exchange Rate Determination," Review of Economic Studies, Wiley Blackwell, vol. 58(3), pages 603-19, May.
  16. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
  17. Ng, S. & Perron, P., 1994. "Unit Root Tests ARMA Models with Data Dependent Methods for the Selection of the Truncation Lag," Cahiers de recherche 9423, Universite de Montreal, Departement de sciences economiques.
  18. Baillie, Richard T & Bollerslev, Tim, 1989. " Common Stochastic Trends in a System of Exchange Rates," Journal of Finance, American Finance Association, vol. 44(1), pages 167-81, March.
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