Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-03T04:08:14.775Z Has data issue: false hasContentIssue false

Une réévaluation sur données récentes des performances prédictives des modèles monétaires de taux de change relativement à la marche aléatoire

Published online by Cambridge University Press:  17 August 2016

Hélène Raymond*
Affiliation:
Université de Paris I
Get access

Résumé

L'étude de Meese et Rogoff [1983] a démontré que les modèles monétaires étaient incapables de mieux prévoir les taux de change qu'une simple marche aléatoire. Dix ans apràs la parution de cet article l'imprévisibilité des variations du dollar ne semble remise en cause que par des exemples isolés, sans portée générale. une réévaluation systématique des résultats de Meese et Rogoff sur données récentes permet de faire le point sur l'apport empirique des modéles monétaires de taux de change, sur données récentes. II apparaît que la marche aléatoire est insurpassable en prévision à un horizon court (un mois ou un trimestre). Au delé, certains modèles, sur des monnaies particulières, réussissent parfois à améliorer des prévisions. Cependant, même les modàles les moins restrictifs ne parviennent jamais à ≪ battre ≫la marche aléatoire sur l'ensemble des monnaies considérées.

Summary

Summary

Meese and Rogoff [1983] paper demonstrated that monetary models are unable to forecast exchange rates better than a random walk. Ten years after this study, exchange rates unpredictability remains unchallenged except by some isolated examples. A complete revaluation of Meese and Rogoff conclusions enables us to clarify this point, with the help of recent data. Our results show that the random walk is the best forecasting model at short term. Some models, for some dollar exchange rates, perform better at long term. But no model brings systematic improvement upon the random walk.

Keywords

Type
Research Article
Copyright
Copyright © Université catholique de Louvain, Institut de recherches économiques et sociales 1995 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

BIBLIOGRAPHIE

Bilson, J.F.O. [1978a], Rational Expectations and the Exchange Rate, in Frenkel, J. et Johnson, M. (Éds), The Economics of Exchange Rates: Selected Studies, New York, Addison Wesley, pp. 7596.Google Scholar
Bilson, J.F.O. [1978b], The Monetary Approach to the Exchange Rate: Some Empirical Evidence, IMF Staff Papers, 25(1), pp. 4875.Google Scholar
Bilson, J.F.O. [1979], The Deutschemark/Dollar Rate: A Monetary Analysis, in Brunner, K. et Meltzer, A.M. (Éds), Policies for Unemployment, Prices, and Exchange Rates (Carnegie Rochester Conference 11), Amsterdam, North Holland, pp. 59102.Google Scholar
Bilson, J.F.O. [1982], Exchange Rate Dynamics, in Bilson, J.F.O. (Éd.), Exchange Rate Theory and Practice, Chicago, University of Chicago Press, pp. 175195.Google Scholar
Davanne, O. [1990], La dynamique des taux de change, Economie et Statistiques236, pp. 3750.Google Scholar
Dickey, D.A. et Fuller, W.A. [1979], Distribution of the Estimates for Autoregressive Time Series with a Unit Root, Journal of the American Statistical Association, 84(6), pp. 427432.Google Scholar
Dickey, D.A. et Fuller, W.A. [1981], The Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root, Econometrica, 48(4), pp. 10571072.Google Scholar
Dornbusch, R. [1976], Expectations and Exchange Rate Dynamics, Journal of Political Economy, 84(6), pp. 11611176.Google Scholar
Driskill, R.A. Mark, N.C. et Sheffrin, S.M. [1992], Some Evidence in Favour of a Monetary Rational Expectation Exchange Rate Model with Imperfect Capital Substituability, International Economic Review, 33(1), pp. 223237.Google Scholar
Finn, M.G. [1986], Forecasting the Exchange Rate: A Monetary Random Walk Phenomenon?, Journal of International Money and Finance, 5(2), pp. 181194.Google Scholar
Frankel, J.A. [1976], A Monetary Approach to the Exchange Rate: Doctrinal Aspect and Empirical Evidence, Scandinavian Journal of Economics, 78(2), pp. 200224.Google Scholar
Frankel, J.A. [1979], On the Mark: A Theory of Floating Exchange Rates Based on Real Interest Differentiels, American Economic Review, 69(4), pp. 610622.Google Scholar
Frankel, J.A. [l982a], In Search of the Exchange Risk Premium: A Six Currency Test Assuming Mean-Variance Optimization, Journal of International Money and Finance, 1(2), pp. 255274.Google Scholar
Frankel, J.A. [1982b], Tests of Monetary and Portfolio Balance Models of Exchange Rate Determination, in, Bilson, J.F.O. (Éd.), Exchange Rate Theory and Practice, Chicago, University of Chicago Press, pp. 239260.Google Scholar
Gardeazabal, J. et Regulez, M. [1992], Long Run Exchange Rate Determination in the Light of Cointegration Theory, Document de Travail, Université de Sciences Economiques UPV-EHU à Bilbao et communication à European Meeting of the Econometric Society, Bruxelles, 24-28 août 1992.Google Scholar
Gourieroux, G., Laffont, J-J. et Monfort, A. [1982], Rational Expectations in Dynamic Linear Models: Analysis of the Solutions, Econometrica, 50(2), pp. 409425.Google Scholar
Gourieroux, G. et Monfort, A. [1990], Séries Temporelles et Modèles Dynamiques, Paris, Economica.Google Scholar
Hooper, P. et Morton, J. [1982], Fluctuations in the Dollar: A Model of Nominal and Real Exchange Rate Determination, Journal of International Money and Finance, 1(1), pp. 3956.Google Scholar
Macdonald, R. et Taylor, M.P. [1994], The Monetary Model of the Exchange Rate: Long-run Relationship, Short-Run Dynamics and How to Beat a Random Walk, Journal of International Money and Finance, 13(3), pp. 276290.Google Scholar
Mussa, M. [1984], The Theory of Exchange Rate Determination, in Bilson, J.F.O. (Éd.), Exchange Rate Theory and Practice, Chicago, University of Chicago Press, pp, 1378.Google Scholar
Pentecost, E.J. [1991], Econometric Approaches to Empirical Models of Exchange Rates Determination, Journal of Economic Surveys, 5(1), pp. 7196.Google Scholar
Phillips, P.C.B. et Ouliaris, S. [1990], Asymptotic Properties of Residual Based Tests for Cointegration, Econometrica, 58(1), pp. 165193.Google Scholar
Schinasi, G.J et Swamy, PA. [1987], The Out-of-Sample Forecasting Performance of Exchange Rate Models when Coefficients Are Allowed to Change, Inter-national Finance Discussion Paper, n° 301, Federal Reserve Board.Google Scholar
Somanath, V.S. [1986], Efficient Exchange Rate Forecasts: Lagged Models Better than the Random Walk, Journal of International Money and Finance, 5(2), pp. 195220.Google Scholar
Wolff, C.C.P. [1987], Time-varying Parameters and the Out-of-Sample Forecasting Performance of Structural Exchange Rate Models, Journal of Bussiness and Economic Statistics, 5(1), pp. 8797.Google Scholar
Wolff, C.C.P. [1988], Exchange Rates, Innovations and Forecasting, Journal of International Money and Finance, 7(1), pp. 4961.Google Scholar