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Exchange Rates and Fundamentals: Evidence from Long-Horizon Regression Tests


  • Shiu-Sheng Chen
  • Yu-Hsi Chou


This article considers the long-run relationship between nominal exchange rates and fundamentals from a different perspective. We apply a long-horizon regression approach proposed by Fisher and Seater (1993) and find evidence supporting the explanatory power of exchange rate models. In particular, the Taylor-rule model outperforms other conventional models. We then use the inverse power function (IPF) proposed by Andrews (1989) to investigate the power of the Fisher-Seater test. The IPF analysis provides additional evidence supporting exchange rate models. Copyright (c) Blackwell Publishing Ltd and the Department of Economics, University of Oxford, 2009.

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  • Shiu-Sheng Chen & Yu-Hsi Chou, 2010. "Exchange Rates and Fundamentals: Evidence from Long-Horizon Regression Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 63-88, February.
  • Handle: RePEc:bla:obuest:v:72:y:2010:i:1:p:63-88

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    References listed on IDEAS

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    Cited by:

    1. Antonio E. Noriega & Daniel Ventosa-Santaulària, 2010. "Spurious Long-Horizon Regression in Econometrics," Working Papers 2010-06, Banco de México.
    2. Kębłowski, Piotr & Welfe, Aleksander, 2012. "A risk-driven approach to exchange rate modelling," Economic Modelling, Elsevier, vol. 29(4), pages 1473-1482.
    3. Ventosa-Santaulària, Daniel & Noriega, Antonio E., 2015. "Long-run monetary neutrality under stochastic and deterministic trends," Economic Modelling, Elsevier, vol. 47(C), pages 372-382.
    4. Chun-Teck Lye & Tze-Haw Chan & Chee-Wooi Hooy, 2011. "Nonlinear prediction of Malaysian exchange rate with monetary fundamentals," Economics Bulletin, AccessEcon, vol. 31(3), pages 1960-1967.

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