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Can Parameter Instability Explain the Meese-Rogoff Puzzle?

The empirical literature on nominal exchange rates shows that the current exchange rate is often a better predictor of future exchange rates than a linear combination of macroeconomic fundamentals. This result is behind the famous Meese-Rogoff puzzle. In this paper we evaluate whether parameter instability can account for this puzzle. We consider a theoretical reduced-form relationship between the exchange rate and fundamentals in which parameters are either constant or time varying. We calibrate the model to data for exchange rates and fundamentals and conduct the exact same Meese-Rogoff exercise with data generated by the model. Our main finding is that the impact of time-varying parameters on the prediction performance is either very small or goes in the wrong direction. To help interpret the findings, we derive theoretical results on the impact of time-varying parameters on the out-of-sample forecasting performance of the model. We conclude that it is not time-varying parameters, but rather small sample estimation bias, that explains the Meese-Rogoff puzzle.

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Paper provided by Swiss National Bank, Study Center Gerzensee in its series Working Papers with number 09.04.

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Length: 55 pages
Date of creation: Aug 2009
Date of revision:
Handle: RePEc:szg:worpap:0904
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  1. Yin-Wong Cheung & Menzie D. Chinn & Antonio Garcia Pascual, 2002. "Empirical Exchange Rate Models of the Nineties: Are Any Fit to Survive?," NBER Working Papers 9393, National Bureau of Economic Research, Inc.
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  3. Todd E. Clark & Kenneth D. West, 2004. "Using out-of-sample mean squared prediction errors to test the Martingale difference hypothesis," Research Working Paper RWP 04-03, Federal Reserve Bank of Kansas City.
  4. Philippe Bacchetta & Eric van Wincoop, 2009. "On the Unstable Relationship between Exchange Rates and Macroeconomic Fundamentals," NBER Working Papers 15008, National Bureau of Economic Research, Inc.
  5. Charles Engel & Kenneth D. West, 2005. "Exchange Rates and Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
  6. Ron Alquist & Menzie D. Chinn, 2008. "Conventional and unconventional approaches to exchange rate modelling and assessment," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(1), pages 2-13.
  7. Chen, Yu-chin & Rogoff, Kenneth, 2003. "Commodity currencies," Journal of International Economics, Elsevier, vol. 60(1), pages 133-160, May.
  8. Eric van Wincoop & Philippe Bacchetta, 2003. "Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle?," NBER Working Papers 9498, National Bureau of Economic Research, Inc.
  9. Yu-Chin Chen & Kenneth Rogoff & Barbara Rossi, 2008. "Can Exchange Rates Forecast Commodity Prices?," NBER Working Papers 13901, National Bureau of Economic Research, Inc.
  10. Molodtsova, Tanya & Papell, David H., 2009. "Out-of-sample exchange rate predictability with Taylor rule fundamentals," Journal of International Economics, Elsevier, vol. 77(2), pages 167-180, April.
  11. Wolff, Christian C P, 1987. "Time-Varying Parameters and the Out-of-Sample Forecasting Performance of Structural Exchange Rate Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(1), pages 87-97, January.
  12. Garry J. Schinasi & P.A.V.B. Swamy, 1987. "The out-of-sample forecasting performance of exchange rate models when coefficients are allowed to change," International Finance Discussion Papers 301, Board of Governors of the Federal Reserve System (U.S.).
  13. Philippe Bacchetta & Eric van Wincoop, 2009. "Tacit On the Unstable Relationship between Exchange Rates and Macroeconomic Fundamentals," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 09.07, Université de Lausanne, Faculté des HEC, DEEP.
  14. Sarno, Lucio & Valente, Giorgio, 2008. "Exchange Rates and Fundamentals: Footloose or Evolving Relationship?," CEPR Discussion Papers 6638, C.E.P.R. Discussion Papers.
  15. Groen, Jan J J, 2005. "Exchange Rate Predictability and Monetary Fundamentals in a Small Multi-country Panel," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 495-516, June.
  16. Richard Meese & Kenneth Rogoff, 1982. "The out-of-sample failure of empirical exchange rate models: sampling error or misspecification?," International Finance Discussion Papers 204, Board of Governors of the Federal Reserve System (U.S.).
  17. Valerie Cerra & Sweta Chaman Saxena, 2008. "The Monetary Model Strikes Back: Evidence From the World," IMF Working Papers 08/73, International Monetary Fund.
  18. A. Carriero & G. Kapetanios & M. Marcellino, 2008. "Forecasting Exchange Rates with a Large Bayesian VAR," Economics Working Papers ECO2008/33, European University Institute.
  19. Kenneth S. Rogoff & Vania Stavrakeva, 2008. "The Continuing Puzzle of Short Horizon Exchange Rate Forecasting," NBER Working Papers 14071, National Bureau of Economic Research, Inc.
  20. 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.
  21. Mark, Nelson C. & Sul, Donggyu, 2001. "Nominal exchange rates and monetary fundamentals: Evidence from a small post-Bretton woods panel," Journal of International Economics, Elsevier, vol. 53(1), pages 29-52, February.
  22. Yin-Wong Cheung & Menzie D. Chinn, 2000. "Currency Traders and Exchange Rate Dynamics: A Survey of the U.S. Market," CESifo Working Paper Series 251, CESifo Group Munich.
  23. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
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