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(EURO) Exchange Rate Predictability and Monetary Fundamentals in a Small Multi-Country Panel

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  • J.J.J. Groen

Abstract

In this paper a panel of vector error correction models based on a common long-run relationship is utilized to test whether the DM exchange rates of Canada, Japan and the United States comply in the long-run with a rational expectations-based monetary exchange rate model. Compared to existing coin-tegration frameworks our approach indicates that the aforementioned exchange rates are indeed consis-tent with the monetary exchange rate model based on a common long-run relationship. We also analyze the out-of-sample fit of this common long-run exchange rate model relative to naive random walk-based forecasts through several forecasting evaluation measures. These forecasting evaluations indicate that the monetary model-based common long-run model is superior to both random walk-based forecasts and standard cointegrated VAR model-based forecasts.

Suggested Citation

  • J.J.J. Groen, 2001. "(EURO) Exchange Rate Predictability and Monetary Fundamentals in a Small Multi-Country Panel," WO Research Memoranda (discontinued) 664, Netherlands Central Bank, Research Department.
  • Handle: RePEc:dnb:wormem:664
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    References listed on IDEAS

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    1. Nicholas Sarantis, 1994. "The monetary exchange rate model in the long run: An empirical investigation," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 130(4), pages 698-711, December.
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    12. Groen, Jan J J, 2002. " Cointegration and the Monetary Exchange Rate Model Revisited," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(4), pages 361-380, September.
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    Citations

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    Cited by:

    1. Galimberti, Jaqueson K. & Moura, Marcelo L., 2013. "Taylor rules and exchange rate predictability in emerging economies," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 1008-1031.
    2. Jeffery D. Amato & Andrew Filardo & Gabriele Galati & Goetz von Peter & Feng Zhu, 2005. "Research on exchange rates and monetary policy: an overview," BIS Working Papers 178, Bank for International Settlements.
    3. Loría, Eduardo & Sánchez, Armando & Salgado, Uberto, 2010. "New evidence on the monetary approach of exchange rate determination in Mexico 1994-2007: A cointegrated SVAR model," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 540-554, April.
    4. Menzie D. Chinn, 2010. "Comment on "Can Parameter Instability Explain the Meese-Rogoff Puzzle?"," NBER Chapters,in: NBER International Seminar on Macroeconomics 2009, pages 174-179 National Bureau of Economic Research, Inc.
    5. Philippe Bacchetta & Eric van Wincoop & Toni Beutler, 2010. "Can Parameter Instability Explain the Meese-Rogoff Puzzle?," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 6(1), pages 125-173.

    More about this item

    Keywords

    Panel cointegration testing; nominal exchange rates; exchange rate predictability.;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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