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Forecasting disconnected exchange rates

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  • Travis J. Berge

Abstract

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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Bibliographic Info

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. 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.
  2. Burnside, Craig & Eichenbaum, Martin & Rebelo, Sérgio, 2011. "Carry Trade and Momentum in Currency Markets," CEPR Discussion Papers 8343, C.E.P.R. Discussion Papers.
  3. Calhoun, Gray, 2012. "Out-Of-Sample Comparisons of Overfit Models," Staff General Research Papers 32462, Iowa State University, Department of Economics.
  4. Lukas Menkhoff & Lucio Sarno & Maik Schmeling & Andreas Schrimpf, 2012. "Currency Momentum Strategies," Working Paper Series 09_12, The Rimini Centre for Economic Analysis.
  5. Rossi, Barbara & Giacomini, Raffaella, 2006. "Detecting and Predicting Forecast Breakdowns," Working Papers 06-01, Duke University, Department of Economics.
  6. Diebold, Francis X. & Nason, James A., 1990. "Nonparametric exchange rate prediction?," Journal of International Economics, Elsevier, vol. 28(3-4), pages 315-332, May.
  7. Philippe Bacchetta & Eric van Wincoop & Toni Beutler, 2009. "Can Parameter Instability Explain the Meese-Rogoff Puzzle?," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 09.08, Université de Lausanne, Faculté des HEC, DEEP.
  8. Yu-chin Chen & Kwok Ping Tsang, 2010. "What Does the Yield Curve Tell Us about Exchange Rate Predictability?," Working Papers 292010, Hong Kong Institute for Monetary Research.
  9. Barbara Rossi, 2005. "Testing Long-Horizon Predictive Ability With High Persistence, And The Meese-Rogoff Puzzle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(1), pages 61-92, 02.
  10. Peter F. Christoffersen & Francis X. Diebold, 1994. "Optimal Prediction Under Asymmetric Loss," NBER Technical Working Papers 0167, National Bureau of Economic Research, Inc.
  11. Berge, Travis J. & Jorda, Oscar, 2009. "The Classification of Economic Activity," Working Papers 09-18, University of California at Davis, Department of Economics.
  12. Travis J. Berge & Òscar Jordà & Alan M. Taylor, 2010. "Currency Carry Trades," NBER Working Papers 16491, National Bureau of Economic Research, Inc.
    • 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.
  13. Francis X. Diebold & Glenn D. Rudebusch & S. Boragan Aruoba, 2004. "The Macroeconomy and the Yield Curve: A Dynamic Latent Factor Approach," NBER Working Papers 10616, National Bureau of Economic Research, Inc.
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