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Can Parameter Instability Explain the Meese-Rogoff Puzzle?

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Author Info

  • Philippe Bacchetta
  • Eric van Wincoop
  • Toni Beutler

Abstract

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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Bibliographic Info

Paper provided by Université de Lausanne, Faculté des HEC, DEEP in its series Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) with number 09.08.

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Length: 34 pages + figures
Date of creation: Jul 2009
Date of revision:
Publication status: Published in NBER International Seminar on Macroeonomics 2009, 2010, pp. 125-173
Handle: RePEc:lau:crdeep:09.08

Contact details of provider:
Postal: Université de Lausanne, Faculté des HEC, DEEP, Internef, CH-1015 Lausanne
Phone: ++41 21 692.33.64
Fax: ++41 21 692.33.05
Email:
Web page: http://www.hec.unil.ch/deep/publications/cahiers/series
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Keywords: exchange rate forecasting; time-varying coefficients;

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References

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  1. Rossi, Barbara, 2006. "Are Exchange Rates Really Random Walks? Some Evidence Robust To Parameter Instability," Macroeconomic Dynamics, Cambridge University Press, vol. 10(01), pages 20-38, February.
  2. Kenneth Rogoff & Barbara Rossi & Yu-chin Chen, 2008. "Can Exchange Rates Forecast Commodity Prices?," 2008 Meeting Papers 540, Society for Economic Dynamics.
  3. 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," Special Studies Papers 212, Board of Governors of the Federal Reserve System (U.S.).
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  8. Valerie Cerra & Sweta Chaman Saxena, 2008. "The Monetary Model Strikes Back," IMF Working Papers 08/73, International Monetary Fund.
  9. 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.).
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  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. Philippe Bacchetta & Eric van Wincoop, 2003. "Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle?," Working Papers 03.02, Swiss National Bank, Study Center Gerzensee.
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  14. Philippe Bacchetta & Eric van Wincoop, 2009. "On the Unstable Relationship between Exchange Rates and Macroeconomic Fundamentals," Working Papers 272009, Hong Kong Institute for Monetary Research.
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  16. 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.
  17. 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.
  18. Chen, Yu-chin & Rogoff, Kenneth, 2003. "Commodity currencies," Journal of International Economics, Elsevier, vol. 60(1), pages 133-160, May.
  19. 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.
  20. 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.
  21. 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.
  22. Nelson Mark & Donggyu Sul, 1998. "Norminal Exchange Rates and Monetary Fundamentals: Evidence from a Small Post-Bretton Woods Panel," Working Papers 98-19, Ohio State University, Department of Economics.
  23. Cerra, Valerie & Saxena, Sweta Chaman, 2010. "The monetary model strikes back: Evidence from the world," Journal of International Economics, Elsevier, vol. 81(2), pages 184-196, July.
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Citations

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Cited by:
  1. Barbara Rossi, 2013. "Exchange Rate Predictability," Working Papers 690, Barcelona Graduate School of Economics.
  2. Bacchetta, Philippe & van Wincoop, Eric, 2009. "On the Unstable Relationship between Exchange Rates and Macroeconomic Fundamentals," CEPR Discussion Papers 7309, C.E.P.R. Discussion Papers.
  3. Philippe Bacchetta & Eric van Wincoop, 2011. "Modeling Exchange Rates with Incomplete Information," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 11.03, Université de Lausanne, Faculté des HEC, DEEP.
  4. Travis J. Berge, 2011. "Forecasting disconnected exchange rates," Research Working Paper RWP 11-12, Federal Reserve Bank of Kansas City.
  5. Fratzscher, Marcel & Sarno, Lucio & Zinna, Gabriele, 2012. "The scapegoat theory of exchange rates: the first tests," Working Paper Series 1418, European Central Bank.
  6. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
  7. Park, Cheolbeom & Park, Sookyung, 2013. "Exchange rate predictability and a monetary model with time-varying cointegration coefficients," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 394-410.
  8. Byrne, Joseph P & Korobilis, Dimitris & Ribeiro, Pinho J, 2014. "Exchange Rate Predictability in a Changing World," MPRA Paper 53684, University Library of Munich, Germany.
  9. Rossi, Barbara & Sekhposyan, Tatevik, 2011. "Understanding models' forecasting performance," Journal of Econometrics, Elsevier, vol. 164(1), pages 158-172, September.
  10. Christophe Amat & Tomasz Michalski & Gilles Stoltz, 2014. "Forecasting exchange rates better than the random walk thanks to machine learning techniques," Working Papers halshs-01003914, HAL.
  11. Toni Beutler, 2012. "Forecasting Exchange Rates with Commodity Convenience Yields," Working Papers 12.03, Swiss National Bank, Study Center Gerzensee.

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