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Long Swings in the Exchange Rate: Are they in the Data and Do Markets Know It?

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  • Charles Engel
  • James D. Hamilton

Abstract

The value of the dollar appears to move in one direction for long periods of time. We develop a new statistical model of exchange rate dynamics as a sequence of stochastic, segmented time trends. The paper implements new techniques for parameter estimation and hypothesis testing for this framework. We reject the null hypothesis that exchange rates follow a random walk in favor of our model of long swings. Our model also generates better forecasts than a random walk. We conclude that persistent movement in the value of the dollar is a fact that calls for greater attention in the theory of exchange rate behavior. The model is a natural framework for assessing the importance of the "peso problem" for the dollar. It allows for the expectation of future exchange rates to be influenced by the probability of a change in regime. We nonetheless reject uncovered interest parity. The forward premium appears frequently to put too high a probability on a change in regime.

Suggested Citation

  • Charles Engel & James D. Hamilton, 1989. "Long Swings in the Exchange Rate: Are they in the Data and Do Markets Know It?," NBER Working Papers 3165, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:3165
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    Cited by:

    1. 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.
    2. Maurice Peat & Max Stevenson, 1995. "Testing for Nonlinearities in Economic and Financial Time Series," Working Paper Series 48, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Roman Frydman & Michael D. Goldberg & Søren Johansen & Katarina Juselius, 2008. "A Resolution of the Purchasing Power Parity Puzzle: Imperfect Knowledge and Long Swings," Discussion Papers 08-31, University of Copenhagen. Department of Economics.
    4. Jeffrey A. Frankel & Kenneth Froot, 1990. "Exchange Rate Forecasting Techniques, Survey Data, and Implications for the Foreign Exchange Market," NBER Working Papers 3470, National Bureau of Economic Research, Inc.
    5. Tim Leung & Xin Li, 2015. "Optimal Mean Reversion Trading With Transaction Costs And Stop-Loss Exit," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-31.
    6. Cosmin Ilut, 2012. "Ambiguity Aversion: Implications for the Uncovered Interest Rate Parity Puzzle," American Economic Journal: Macroeconomics, American Economic Association, vol. 4(3), pages 33-65, July.
    7. Kenneth S. Rogoff & Vania Stavrakeva, 2008. "The Continuing Puzzle of Short Horizon Exchange Rate Forecasting," NBER Working Papers 14071, National Bureau of Economic Research, Inc.
    8. van Norden, Simon, 1996. "Regime Switching as a Test for Exchange Rate Bubbles," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(3), pages 219-251, May-June.
    9. Cheung, Yin-Wong & Chinn, Menzie David & Garcia Pascual, Antonio, 2003. "What Do We Know about Recent Exchange Rate Models? In-Sample Fit and Out-of-Sample Performance Evaluated," Santa Cruz Department of Economics, Working Paper Series qt8ds2g7qg, Department of Economics, UC Santa Cruz.
    10. Cheung, Yin-Wong & Chinn, Menzie & Garcia Pascual, Antonio, 2003. "What Do We Know about Recent Exchange Rate Models? In-Sample Fit and Out-of-Sample Performance Evaluated," Santa Cruz Center for International Economics, Working Paper Series qt0jc800x9, Center for International Economics, UC Santa Cruz.
    11. Roman Frydman & Michael D. Goldberg, 2001. "Macroeconomic Fundamentals and the DM/$ Exchange Rate: Temporal Instability and the Monetary Model," Working Papers 50, Oesterreichische Nationalbank (Austrian Central Bank).

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