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Factor Model Forecasts of Exchange Rates

  • Nelson Mark

    ()

    (Department of Economics, University of Notre Dame)

We construct factors from a cross section of exchange rates and use the idiosyncratic deviations from the factors to forecast. In a stylized data generating process, we show that such forecasts can be effective even if there is essentially no serial correlation in the univariate exchange rate processes. We apply the technique to a panel of bilateral U.S. dollar rates against 17 OECD countries. We forecast using factors, and using factors combined with any of fundamentals suggested by Taylor rule, monetary and purchasing power parity (PPP) models. For long horizon (8 and 12 quarter) forecasts, we tend to improve on the forecast of a ³no change² benchmark in the late (1999-2007) but not early (1987-1998) parts of our sample.

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File URL: http://www3.nd.edu/~tjohns20/RePEc/deendus/wpaper/012_rates.pdf
File Function: First version, 2012
Download Restriction: no

Paper provided by University of Notre Dame, Department of Economics in its series Working Papers with number 012.

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Length: 31 pages
Date of creation: Nov 2008
Date of revision: Jan 2012
Handle: RePEc:nod:wpaper:012
Contact details of provider: Postal: 434 Flanner Hall, Notre Dame, IN 46556
Phone: (574) 631-7698
Web page: http://economics.nd.edu
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  1. Francis X. Diebold & Javier Gardeazabal & Kamil Yilmaz, 1993. "On cointegration and exchange rate dynamics," Working Papers 93-2, Federal Reserve Bank of Philadelphia.
  2. Engel, Charles & West, Kenneth D., 2006. "Taylor Rules and the Deutschmark: Dollar Real Exchange Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1175-1194, August.
  3. Charles Engel & Kenneth D. West, 2004. "Exchange Rates and Fundamentals," NBER Working Papers 10723, National Bureau of Economic Research, Inc.
  4. West, Kenneth D. & Edison, Hali J. & Cho, Dongchul, 1993. "A utility-based comparison of some models of exchange rate volatility," Journal of International Economics, Elsevier, vol. 35(1-2), pages 23-45, August.
  5. Cheung, Yin-Wong & Chinn, Menzie & Garcia Pascual, Antonio, 2003. "Empirical Exchange Rate Models of the Nineties: Are Any Fit to Survive?," Santa Cruz Center for International Economics, Working Paper Series qt5fc508pt, Center for International Economics, UC Santa Cruz.
  6. 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.
  7. Benigno, Gianluca & Benigno, Pierpaolo, 2008. "Exchange rate determination under interest rate rules," Journal of International Money and Finance, Elsevier, vol. 27(6), pages 971-993, October.
  8. Rapach, David E. & Wohar, Mark E., 2004. "Testing the monetary model of exchange rate determination: a closer look at panels," Journal of International Money and Finance, Elsevier, vol. 23(6), pages 867-895, October.
  9. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
  10. Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
  11. Rapach, David E. & Wohar, Mark E., 2002. "Testing the monetary model of exchange rate determination: new evidence from a century of data," Journal of International Economics, Elsevier, vol. 58(2), pages 359-385, December.
  12. 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.
  13. Bai, Jushan, 2004. "Estimating cross-section common stochastic trends in nonstationary panel data," Journal of Econometrics, Elsevier, vol. 122(1), pages 137-183, September.
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