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A Comparison of the Stochastic Processes of Structural and

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  • Ahking, Francis W
  • Miller, Stephen M

Abstract

Arnold Zellner and Franz Palm (1974) show that comparing the actual with the implied stochastic process es generating the endogenous variables in a system of dynamic structu ral equations provides important information about the system's corre ct specification. The authors apply their methodology to structural e xchange-rate models. They find that the log of the bilateral exchange rate is generally well approximated by a random-walk model. Thus, th e stochastic processes generating the exogenous variables should also be random-walk models, which in not borne out by our empirical resul ts. They suggest a reconciliation of their results based on a decompo sition technique developed by Stephen Beveridge and Charles R. Nelson (1981). Copyright 1987 by MIT Press.

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  • Ahking, Francis W & Miller, Stephen M, 1987. "A Comparison of the Stochastic Processes of Structural and," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 496-502, August.
    • Handle: RePEc:tpr:restat:v:69:y:1987:i:3:p:496-502
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    Cited by:

    1. Santiago Herrera, 1990. "Notas sobre la existencia de una raíz unitaria en la serie del tipo de cambio real del peso colombiano," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 5(1), pages 157-171.
    2. Dibooglu, Selahattin, 1993. "Multiple cointegration and structural models: applications to exchange rate determination," ISU General Staff Papers 1993010108000011419, Iowa State University, Department of Economics.
    3. de Souza Vasconcelos, Camila & Hadad Júnior, Eli, 2023. "Forecasting exchange rate: A bibliometric and content analysis," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 607-628.
    4. Osler, C. L., 1995. "Exchange rate dynamics and speculator horizons," Journal of International Money and Finance, Elsevier, vol. 14(5), pages 695-719, October.
    5. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
    6. Riané de Bruyn & Rangan Gupta & Lardo Stander, 2013. "Testing the Monetary Model for Exchange Rate Determination in South Africa: Evidence from 101 Years of Data," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(1), March.
    7. van de Gucht, Linda M. & Dekimpe, Marnik G. & Kwok, Chuck C. Y., 1996. "Persistence in foreign exchange rates," Journal of International Money and Finance, Elsevier, vol. 15(2), pages 191-220, April.
    8. Debabrata Bagchi & Georgios E. Chortareas & Stephen M. Miller, 2004. "The Real Exchange Rate in Small, Open, Developed Economies: Evidence from Cointegration Analysis," The Economic Record, The Economic Society of Australia, vol. 80(248), pages 76-88, March.
    9. Osler, C. L., 1998. "Short-term speculators and the puzzling behaviour of exchange rates," Journal of International Economics, Elsevier, vol. 45(1), pages 37-57, June.
    10. Brealey, R. A. & Kaplanis, E. C., 1995. "Discrete exchange rate hedging strategies," Journal of Banking & Finance, Elsevier, vol. 19(5), pages 765-784, August.

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