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Dynamic forecasting of sticky-price monetary exchange rate model


  • Jae-Kwang Hwang


The Dornbusch-Frankel monetary model is used to estimate the out-of-sample forecasting performance for the U.S. or Canadian dollar exchange rate. By using Johansen's multivariate cointegration, up to three cointegrating vectors were found between the exchange rate and macroeconomic fundamentals. This means that there is a long-run relationship between exchange rate and economic fundamentals. Based on error-correction models, the random-walk model outperforms the Dornbusch-Frankel model at every forecasting horizon. The random-walk model also dominates the Dornbusch-Frankel model with the modified money demand function at every forecasting horizon except one month. However, this paper shows that the share price variable can improve the accuracy of forecasts of exchange rates at short-run horizons. Copyright International Atlantic Economic Society 2003

Suggested Citation

  • Jae-Kwang Hwang, 2003. "Dynamic forecasting of sticky-price monetary exchange rate model," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 31(1), pages 103-114, March.
  • Handle: RePEc:kap:atlecj:v:31:y:2003:i:1:p:103-114
    DOI: 10.1007/BF02298466

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    References listed on IDEAS

    1. Friedman, Milton, 1988. "Money and the Stock Market," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 221-245, April.
    2. Woo, Wing T., 1985. "The monetary approach to exchange rate determination under rational expectations: The dollar-deutschmark rate," Journal of International Economics, Elsevier, vol. 18(1-2), pages 1-16, February.
    3. Baillie, Richard T. & Selover, David D., 1987. "Cointegration and models of exchange rate determination," International Journal of Forecasting, Elsevier, vol. 3(1), pages 43-51.
    4. Engle, Robert F., 1982. "A general approach to lagrange multiplier model diagnostics," Journal of Econometrics, Elsevier, vol. 20(1), pages 83-104, October.
    5. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    6. Issam Abdalla & Victor Murinde, 1997. "Exchange rate and stock price interactions in emerging financial markets: evidence on India, Korea, Pakistan and the Philippines," Applied Financial Economics, Taylor & Francis Journals, vol. 7(1), pages 25-35.
    7. Harald Reinton & Steven Ongena, 1999. "Out-of-sample forecasting performance of single equation monetary exchange rate models in Norwegian currency markets," Applied Financial Economics, Taylor & Francis Journals, vol. 9(6), pages 545-550.
    8. McNown, Robert & Wallace, Myles, 1989. "Co-integration tests for long run equilibrium in the monetary exchange rate model," Economics Letters, Elsevier, vol. 31(3), pages 263-267, December.
    9. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    10. Cheung, Yin-Wong & Lai, Kon S., 1993. "Long-run purchasing power parity during the recent float," Journal of International Economics, Elsevier, vol. 34(1-2), pages 181-192, February.
    11. Choudhry, Taufiq, 1996. "Real stock prices and the long-run money demand function: evidence from Canada and the USA," Journal of International Money and Finance, Elsevier, vol. 15(1), pages 1-17, February.
    12. 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.
    13. Solnik, Bruno, 1987. " Using Financial Prices to Test Exchange Rate Models: A Note," Journal of Finance, American Finance Association, vol. 42(1), pages 141-149, March.
    14. David A. Dickey & Dennis W. Jansen & Daniel L. Thornton, 1991. "A primer on cointegration with an application to money and income," Review, Federal Reserve Bank of St. Louis, issue Mar, pages 58-78.
    15. George Tawadros, 2001. "The predictive power of the monetary model of exchange rate determination," Applied Financial Economics, Taylor & Francis Journals, vol. 11(3), pages 279-286.
    16. Ajayi, Richard A & Mougoue, Mbodja, 1996. "On the Dynamic Relation between Stock Prices and Exchange Rates," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 19(2), pages 193-207, Summer.
    17. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    18. Somanath, V. S., 1986. "Efficient exchange rate forecasts: Lagged models better than the random walk," Journal of International Money and Finance, Elsevier, vol. 5(2), pages 195-220, June.
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    Cited by:

    1. Doh-Khul Kim, 2005. "Unionization, Unemployment, and Growth in Korea: A Cointegration Approach," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 33(2), pages 225-233, June.

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