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Forecasting disconnected exchange rates

  • Travis J. Berge

Catalyzed by the work of Meese and Rogoff (1983), a large literature has documented the inability of empirical models to accurately forecast exchange rates out-of-sample. This paper extends the literature by introducing an empirical strategy that endogenously builds forecast models from a broad set of conventional exchange rate signals. The method is extremely flexible, allowing for potentially nonlinear models for each currency and forecast horizon that evolve over time. Analysis of the models selected by the procedure sheds light on the erratic behavior of exchange rates and their apparent disconnect from macroeconomic fundamentals. In terms of forecast ability, the Meese-Rogoff result remains intact. At short horizons, the method cannot outperform a random walk, although at longer horizons the method does outperform the random walk null. These findings are found consistently across currencies and forecast evaluation methods.

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File URL: http://www.kansascityfed.org/publicat/reswkpap/pdf/rwp11-12.pdf
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Paper provided by Federal Reserve Bank of Kansas City in its series Research Working Paper with number RWP 11-12.

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Date of creation: 2011
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Handle: RePEc:fip:fedkrw:rwp11-12
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  1. Travis Berge & Òscar Jordà & Alan M. Taylor, 2010. "Currency Carry Trades," NBER Chapters, in: NBER International Seminar on Macroeconomics 2010, pages 357-387 National Bureau of Economic Research, Inc.
  2. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia, 2005. "Empirical exchange rate models of the nineties: Are any fit to survive?," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1150-1175, November.
  3. Dueker, Michael & Neely, Christopher J., 2007. "Can Markov switching models predict excess foreign exchange returns?," Journal of Banking & Finance, Elsevier, vol. 31(2), pages 279-296, February.
  4. Philippe Bacchetta & Eric van Wincoop & Toni Beutler, 2009. "Can Parameter Instability Explain the Meese-Rogoff Puzzle?," Working Papers 09.04, Swiss National Bank, Study Center Gerzensee.
  5. Craig Burnside & Martin Eichenbaum & Sergio Rebelo, 2011. "Carry Trade and Momentum in Currency Markets," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 511-535, December.
  6. Lukas Menkhoff & Lucio Sarno & Maik Schmeling & Andreas Schrimpf, 2011. "Currency Momentum Strategies," BIS Working Papers 366, Bank for International Settlements.
  7. Francis X. Diebold & James M. Nason, 1989. "Nonparametric exchange rate prediction?," Finance and Economics Discussion Series 81, Board of Governors of the Federal Reserve System (U.S.).
  8. Christoffersen, Peter F. & Diebold, Francis X., 1997. "Optimal Prediction Under Asymmetric Loss," Econometric Theory, Cambridge University Press, vol. 13(06), pages 808-817, December.
  9. Giacomini, Raffaella & White, Halbert, 2003. "Tests of Conditional Predictive Ability," University of California at San Diego, Economics Working Paper Series qt5jk0j5jh, Department of Economics, UC San Diego.
  10. Yu-chin Chen & Kwok Ping Tsang, 2009. "What Does the Yield Curve Tell Us About Exchange Rate Predictability?," Working Papers UWEC-2009-04, University of Washington, Department of Economics.
  11. Raffella Giacomini & Barbara Rossi, 2005. "Detecting and Predicting Forecast Breakdowns," UCLA Economics Working Papers 845, UCLA Department of Economics.
  12. Glenn D. Rudebusch & Tao Wu, 2003. "A macro-finance model of the term structure, monetary policy, and the economy," Working Paper Series 2003-17, Federal Reserve Bank of San Francisco.
  13. Diebold, Francis X. & Rudebusch, Glenn D. & Borag[caron]an Aruoba, S., 2006. "The macroeconomy and the yield curve: a dynamic latent factor approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 309-338.
  14. Rossi, Barbara, 2002. "Testing Long-horizon Predictive Ability with High Persistence, and the Meese-Rogoff Puzzle," Working Papers 02-10, Duke University, Department of Economics.
  15. Elliott, Graham & Lieli, Robert P., 2013. "Predicting binary outcomes," Journal of Econometrics, Elsevier, vol. 174(1), pages 15-26.
  16. Calhoun, Gray, 2014. "Out-Of-Sample Comparisons of Overfit Models," Staff General Research Papers 32462, Iowa State University, Department of Economics.
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