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Learning to Forecast the Exchange Rate: Two Competing Approaches

  • Paul De Grauwe

    (KULeuven)

  • Agnieszka Markiewicz

    (KULeuven)

In this paper, we investigate the behavior of the exchange rate within the framework of an asset pricing model. We assume boundedly rational agents who use simple rules to forecast the future exchange rate. They test these rules continuously using two learning mechanisms. The first one, the fitness method, assumes that agents evaluate forecasts by computing their past profitability. In the second mechanism, agents learn to improve these rules using statistical methods. First, we find that both learning mechanisms reveal the fundamental value of the exchange rate in the steady state. Second, both mechanisms mimic regularities observed in the foreign exchange markets, namely exchange rate disconnect and excess volatility. Fitness learning rule generates the disconnection at different frequencies, while the statistical method has this ability only at the high frequencies. Statistical learning can produce excess volatility of magnitude closer to reality than fitness learning but can also lead to explosive solutions

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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2006 with number 367.

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Date of creation: 04 Jul 2006
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Handle: RePEc:sce:scecfa:367
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  1. LeBaron, B., 1996. "Technical Trading Rule Profitability and Foreing Exchange Intervention," Working papers 9445r, Wisconsin Madison - Social Systems.
  2. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
  3. Goldbaum, David & Mizrach, Bruce, 2008. "Estimating the intensity of choice in a dynamic mutual fund allocation decision," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3866-3876, December.
  4. Jeffrey A. Frankel & Kenneth A. Froot, 1986. "Short-term and long-term expectations of the yen/dollar exchange rate: evidence from survey data," International Finance Discussion Papers 292, Board of Governors of the Federal Reserve System (U.S.).
  5. De Grauwe, Paul & Grimaldi, Marianna, 2006. "Exchange rate puzzles: A tale of switching attractors," European Economic Review, Elsevier, vol. 50(1), pages 1-33, January.
  6. Ernst R. Berndt & Bronwyn H. Hall & Robert E. Hall & Jerry A. Hausman, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 653-665 National Bureau of Economic Research, Inc.
  7. Frankel, Jeffrey A & Froot, Kenneth A, 1990. "Chartists, Fundamentalists, and Trading in the Foreign Exchange Market," American Economic Review, American Economic Association, vol. 80(2), pages 181-85, May.
  8. Brock, W.A. & Hommes, C.H., 1996. "Hetergeneous Beliefs and Routes to Chaos in a Simple Asset Pricing Model," Working papers 9621, Wisconsin Madison - Social Systems.
  9. Hommes, Cars & Sonnemans, Joep & Tuinstra, Jan & van de Velden, Henk, 2008. "Expectations and bubbles in asset pricing experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 67(1), pages 116-133, July.
  10. 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.
  11. Boswijk, H.P. & Hommes C.H. & Manzan, S., 2005. "Behavioral Heterogeneity in Stock Prices," CeNDEF Working Papers 05-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  12. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-18, March.
  13. Milani, Fabio, 2007. "Expectations, learning and macroeconomic persistence," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2065-2082, October.
  14. Brock, W.A., 1995. "A Rational Route to Randomness," Working papers 9530, Wisconsin Madison - Social Systems.
  15. Eric van Wincoop & Philippe Bacchetta, 2007. "Random Walk Expectations and the Forward Discount Puzzle," American Economic Review, American Economic Association, vol. 97(2), pages 346-350, May.
  16. Groen, Jan J. J., 2000. "The monetary exchange rate model as a long-run phenomenon," Journal of International Economics, Elsevier, vol. 52(2), pages 299-319, December.
  17. Wiliam Branch & George W. Evans, 2005. "Model Uncertainty and Endogenous Volatility," University of Oregon Economics Department Working Papers 2005-21, University of Oregon Economics Department, revised 26 Oct 2006.
  18. M. Hashem Pesaran & Andreas Pick, 2011. "Forecast Combination Across Estimation Windows," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 307-318, April.
  19. Kim, Young Se, 2009. "Exchange rates and fundamentals under adaptive learning," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 843-863, April.
  20. Yin-Wong Cheung & Menzie D. Chinn & Ian W. Marsh, 2000. "How Do UK-Based Foreign Exchange Dealers Think Their Market Operates?," NBER Working Papers 7524, National Bureau of Economic Research, Inc.
  21. Benassy-Quere, A. & Larribeau, S. & MacDonald, R., 1999. "Models of Exchange Rate Expectations: Heterogeneous Evidence from Panel Data," Papers 99-02, Paris X - Nanterre, U.F.R. de Sc. Ec. Gest. Maths Infor..
  22. Cars Hommes & Joep Sonnemans & Jan Tuinstra & Henk van de Velden, 2003. "Coordination of Expectations in Asset Pricing Experiments," Tinbergen Institute Discussion Papers 03-010/1, Tinbergen Institute.
  23. Mark P. Taylor, 1995. "The Economics of Exchange Rates," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 13-47, March.
  24. Hafer, R W & Hein, Scott E, 1984. "Financial Innovations and the Interest Elasticity of Money Demand: Some Historical Evidence: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 16(2), pages 247-52, May.
  25. Christopher J. Neely & Paul A. Weller & Robert Dittmar, 1997. "Is technical analysis in the foreign exchange market profitable? a genetic programming approach," Working Papers 1996-006, Federal Reserve Bank of St. Louis.
  26. 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.
  27. Paul De Grauwe & Marianna Grimaldi, 2005. "The Exchange Rate and its Fundamentals in a Complex World," Review of International Economics, Wiley Blackwell, vol. 13(3), pages 549-575, 08.
  28. Fudenberg, Drew & Levine, David, 1998. "Learning in games," European Economic Review, Elsevier, vol. 42(3-5), pages 631-639, May.
  29. Alan Kirman, 1993. "Ants, Rationality, and Recruitment," The Quarterly Journal of Economics, Oxford University Press, vol. 108(1), pages 137-156.
  30. Arifovic, Jasmina, 1996. "The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 510-41, June.
  31. Chakraborty, Avik & Evans, George W., 2008. "Can perpetual learning explain the forward-premium puzzle?," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 477-490, April.
  32. Ito, Takatoshi, 1990. "Foreign Exchange Rate Expectations: Micro Survey Data," American Economic Review, American Economic Association, vol. 80(3), pages 434-49, June.
  33. Chinn, Menzie D. & Meese, Richard A., 1995. "Banking on currency forecasts: How predictable is change in money?," Journal of International Economics, Elsevier, vol. 38(1-2), pages 161-178, February.
  34. Bill Branch & George W. Evans, 2003. "Intrinsic Heterogeneity in Expectation Formation," University of Oregon Economics Department Working Papers 2003-32, University of Oregon Economics Department, revised 04 Oct 2004.
  35. Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
  36. Marcet, Albert & Nicolini, Juan Pablo, 1998. "Recurrent Hyperinflations and Learning," CEPR Discussion Papers 1875, C.E.P.R. Discussion Papers.
  37. William A. Branch & George W. Evans, 2010. "Asset Return Dynamics and Learning," Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1651-1680, April.
  38. Frankel, Jeff & Froot, Ken, 1986. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations," Department of Economics, Working Paper Series qt1972q8wm, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  39. Branch, William A. & Evans, George W., 2006. "A simple recursive forecasting model," Economics Letters, Elsevier, vol. 91(2), pages 158-166, May.
  40. Lux, Thomas & Schornstein, Sascha, 2002. "Genetic learning as an explanation of stylized facts of foreign exchange markets," Discussion Paper Series 1: Economic Studies 2002,29, Deutsche Bundesbank, Research Centre.
  41. Richard Clarida & Daniel Waldman, 2007. "Is Bad News About Inflation Good News for the Exchange Rate?," NBER Working Papers 13010, National Bureau of Economic Research, Inc.
  42. Cheung, Yin-Wong & Friedman, Daniel, 1997. "Individual Learning in Normal Form Games: Some Laboratory Results," Games and Economic Behavior, Elsevier, vol. 19(1), pages 46-76, April.
  43. Vivien Lewis & Agnieszka Markiewicz, 2009. "Model misspecification, learning and the exchange rate disconnect puzzle," Working Paper Research 168, National Bank of Belgium.
  44. Manzan, Sebastiano & Westerhoff, Frank H., 2007. "Heterogeneous expectations, exchange rate dynamics and predictability," Journal of Economic Behavior & Organization, Elsevier, vol. 64(1), pages 111-128, September.
  45. Nelson C. Mark, 2005. "Changing Monetary Policy Rules, Learning, and Real Exchange Rate Dynamics," NBER Working Papers 11061, National Bureau of Economic Research, Inc.
  46. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-18, Nov.-Dec..
  47. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-91, March.
  48. de Zwart, Gerben & Markwat, Thijs & Swinkels, Laurens & van Dijk, Dick, 2009. "The economic value of fundamental and technical information in emerging currency markets," Journal of International Money and Finance, Elsevier, vol. 28(4), pages 581-604, June.
  49. 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.
  50. Marcet, Albert & Sargent, Thomas J., 1989. "Convergence of least squares learning mechanisms in self-referential linear stochastic models," Journal of Economic Theory, Elsevier, vol. 48(2), pages 337-368, August.
  51. Goodhart, Charles, 1988. "The Foreign Exchange Market: A Random Walk with a Dragging Anchor," Economica, London School of Economics and Political Science, vol. 55(220), pages 437-60, November.
  52. Charles Engel & Kenneth D. West, 2004. "Taylor Rules and the Deutschmark-Dollar Real Exchange Rate," NBER Working Papers 10995, National Bureau of Economic Research, Inc.
  53. Leitch, Gordon & Tanner, J Ernest, 1991. "Economic Forecast Evaluation: Profits versus the Conventional Error Measures," American Economic Review, American Economic Association, vol. 81(3), pages 580-90, June.
  54. Pilbeam, Keith, 1995. "The Profitability of Trading in the Foreign Exchange Market: Chartists, Fundamentalists, and Simpletons," Oxford Economic Papers, Oxford University Press, vol. 47(3), pages 437-52, July.
  55. 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.
  56. Sweeney, Richard J, 1986. " Beating the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 41(1), pages 163-82, March.
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