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Le taux de change du dollar contre le mark suit-il une dynamique non-lineaire? Une evaluation empirique sur donnees infra-journalieres

Published online by Cambridge University Press:  17 August 2016

Jérôme Drunat ,
Gilles Dufrénot  and
Laurent Mathieu
Jérôme Drunat
Affiliation:
IREFI - Université Paris 12
Gilles Dufrénot
Affiliation:
ERUDITE - Université Paris 12
Laurent Mathieu
Affiliation:
C3ED-MODEM -Université de Saint-Quentin en Yvelines
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Résumé

Cet article présente une étude empirique relative aux dynamiques non-linéaires sur données à haute fréquence. Les séries de cotation utilisées sont celles du Dollar contre le Mark sur le marché londonien durant l'année 1994. Nous montrons que le caractère leptokurtique et asymétrique des distributions peut s'expliquer par la présence de non-linéarités dans la moyenne ou dans la variance conditionnelle des taux de rendement. Nous utilisons le test KPSS et le test du bispectre qui paraissent bien adaptés à nos séries. La composante non-linéaire de la variance conditionnelle est décrite par des processus IGARCH avec loi de Student sur les résidus. Nous estimons en outre des modèles bilinéaires qui révèlent la présence de composantes non-linéaires dans la moyenne conditionnelle.

Summary

Summary

This paper presents an empirical study of non-linear dynamics in high frequency data. We use quotations of the Dollar/Mark exchange rates on the London market during the year 1994. We show that leptokurtic and asymmetric distributions in several rates of return are due to the presence of stochastic nonlinearities in either the conditional variance or the conditional mean. Tests such as the KPSS for stationarity and the bispectrum for linearity perform well to our data. Two kinds of models are proposed to model both the volatility and the instability of exchange rates. We first estimate IGARCH processes with Student distributions for the residuals. We also build bilinear models to exhibit non-linear patterns in the conditional mean of the series.

Keywords

C22C32C51C22C32C51
Type
Research Article
Information
Recherches Économiques de Louvain/ Louvain Economic Review , Volume 64 , Issue 2 , 1998 , pp. 159 - 182
Copyright
Copyright © Université catholique de Louvain, Institut de recherches économiques et sociales 1998 

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Footnotes

*

Plusieurs parties de cet article ont été présentées au colloque « Forecasting Financial Markets; Advances for Exchange Rates, Interest Rates and Asset Management », qui s'est tenu à Londres les 22, 23 et 24 Mars 1995, au congrès annuel de l'A.F.S.E. qui s'est tenu à Paris les 21 et 22 Septembre 1995, ainsi qu'aux journées des jeunes économètres de Dijon, les 21, 22 et 23 Mai 1997. Nous remercions les participants à ces congrès pour leurs remarques, en particulier Gilbert Abraham-Frois, Hervé Alexandre, Georges Bresson, Christian Dunis, Christian Gourieroux et Marie-Claude Pichery. Nous avons une dette particulière envers Sandrine Lardic et les deux rapporteurs anonymes de cette revue dont les remarques ont permis d'améliorer les versions successives de l'article.

References

Bibliographie

Anderson, T.W. [1958], An Introduction to Multivariate Analysis, New York, John Wiley & Sons.Google Scholar
Ashley, R.A., Hinich, M.J. et Patterson, D.M. [1986], Diagnostic test for dependence in time series fitting errors, Journal of Time Series Analysis, 7(3), pp. 165–178.Google Scholar
Ashley, R.A. et Patterson, D.M. [1989], Linear versus non-linear macroeconomics: A statistical test, International Economic Review, 30(3), pp. 685–704.Google Scholar
Baenstens, D.J. et Van Der Berg, W.M. [1995], Intraday analysis of effective news and the usd/dem swap rate in operational time, Working Papers in Financial Economics, Chemical Bank, December.Google Scholar
Baillie, R.T. et Bollerslev, T. [1989], The message in daily exchange rates: A conditional-variance tale, Journal of Business and Economic Statistics, 7(3), pp. 297–305.Google Scholar
Baillie, R.T. et Bollerslev, T. [1991], Conditional forecast densities from dynamic models with garch innovations, miméo, Michigan state University.Google Scholar
Bollerslev, T. [1987], A conditional heteroskedastic time series model for speculative prices and rates of return, Review of Economics and Statistics, 69(3), pp. 542–547.Google Scholar
Bollerslev, T., Chou, R.Y. et Kroner, K.F. [1992], Arch modeling in finance, Journal of Econometrics, 52(1-2), pp. 5–60.Google Scholar
Cartapanis, A. [1995], L'hétérogénéité des agents dans les modèles de change, miméo, Colloque sur la formation des anticipations économiques, Paris, 12-13 Juin.Google Scholar
Dacorogna, M.M., Davé, R.D., Müller, U.A., Olsen, R.B., Pictet, O.V. et Ward, J.R. [1993], Fractals and intrinsic time. A challenge for econometricians, miméo, International Conference of the Applied Econometrics Association, Luxembourg, October.Google Scholar
Dacorogna, M.M., Davé, R.D., Olsen, R.B., Pictet, O.V., Müller, U.A. et Von Weizsäcker, J.E. [1995] .Volatilities and trends of different time resolutions: Analysing the dynamics of market components, miméo, Colloque: Forecasting financial markets. New advances for exchange rates, interest rates and asset management, Londres, 22-24 Mars.Google Scholar
De Grauwe, P. et Dewachter, H. [1992], A chaotic monetary model of the exchange rate, in Frisch, H. et Wörgötter, A. (éds), Open-Economy Macroeconomics, London, Macmillan, pp. 353–376.Google Scholar
De Grauwe, P., Dewachter, H. et Embrechts, M. [1993], Exchange Rate Theory, Chaotic Models of Foreign Exchange Markets, Oxford, Basil Blackwell.Google Scholar
De Jong, D.N., Nankervis, J.C., Savin, N.E. et Whiteman, C.H. [1989], Integration versus trend stationarity in macroeconomic time series, Working Paper n° 89-99, University of Iowa.Google Scholar
Diebold, F. et Nerlove, M. [1989], The dynamics of exchange rate volatility: A multivariate latent factor arch model, Journal of Applied Econometrics, 4(1), pp. 1–22.Google Scholar
Diebold, F. et Nason, J. [1990], Nonparametric exchange rate prediction, Journal of International Economics, 28(3-4), pp. 315–332.Google Scholar
Diebold, F. et Rudebusch, G.D. [1991], On the power of Dickey-Fuller tests against fractional alternatives, Economic Letters, 32(2), pp. 155–160.Google Scholar
Engle, R.F. [1982], Autoregressive conditional heteroscedasticity with estimates of the variance ot united kingdom inflation, Econometrica, 50(4), pp. 987–1008.Google Scholar
Engle, R.F. et Bollerslev, T. [1986], Modelling the persistence of conditional variances, Econometric Reviews, 5(1), pp. 1–50.Google Scholar
Goodhart, C. et Figliuoli, L. [1991], Every minute counts in financial markets, Journal of International Money and Finance, 10(1), pp. 23–52.Google Scholar
Granger, C.W.J. et Andersen, A.P. [1978], An Introduction to Bilinear Time Series Analysis, Gottingen, Vanderhoeck and Ruprecht.Google Scholar
Guégan, D. et Pham, T.D. [1989], A note on the estimation of the parameters of the diagonal bilinear models by least squares methods, Scandinavian Journal of Statistic Theory and Application, 16, pp. 129–136.Google Scholar
Guégan, D. [1994], Séries chronologiques non linéaires à temps discret, Paris, Economica.Google Scholar
Hinich, M.J. [1982], Testing for gaussianity and linearity of a stationnary Time Series, Journal of Time Series Analysis, 3(1), pp. 169–176.Google Scholar
Hsieh, D.A. [1988], The statistical properties of daily foreign exchange rates, Journal of International Economics, 24(1-2), pp. 129–145.Google Scholar
Hsieh, D.A. [1989], Modelling heteroscedasticity in daily foreign exchange rates, Journal of Business and Economics Statistics, 7(3), pp. 307–317.Google Scholar
Jorion, P. [1988], On jump processes in the foreign exchange and stock markets, Review of Financial Studies, n° 1, pp. 427–445.Google Scholar
Kwiatowski, D., Phillips, P.C., Schmidt, P. et Shin, Y. [1992], Testing the null hypothesis of stationarity against the alternative of a unit root, Journal of Econometrics, 54(1-3), pp. 159–178.Google Scholar
McCurdy, T.H. et Morgan, I. [1987], Tests of the martingale hypothesis for foreign currency futures with time varying volatility, International Journal of Forecasting, 3(1), pp. 131–148.Google Scholar
Müller, U.A., Dacorogna, M.M., Olsen, R.B., Pictet, O.V., Schwarz, M. et Morgenegg, C. [1990], Statistical study of foreign exchange rates, empirical evidence of a price change scaling law, and intraday analysis, Journal of Banking and Finance, 14(6), pp. 1189–1208.Google Scholar
Nelson, D.B. [1990], Arch models as diffusion approximations, Journal of Econometrics, 45(12), pp. 7–38.Google Scholar
Priestley, M.B. [1989], Nonlinear and Nonstationary Time Series, San Diego, Academic Press Limited.Google Scholar
Subba Rao, T. [1981], On the theory of bilinear models, Journal of the Royal Statistical Society, 43, pp. 244–255.Google Scholar
Subba Rao, T. et Gabr, M.M. [1984], An Introduction to Bispectral Analysis and Bilinear Time Series Models, Lecture Notes in Statistics, Berlin, Springer Verlag.Google Scholar
Wang, S.R., An, H.Z. et Tong, H. [1983], On the distribution of a simple stationary bilinear process, Journal of Time Series Analysis, n° 4, pp. 209–216.Google Scholar
Wold, H. [1954], A Study in the Analysis of Stationary Time Series, Stockholm, Almqvist & Wiksell.Google Scholar