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Effets des points aberrants sur les tests de normalité et de linéarité. Applications à la bourse de Tokyo

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Author Info

  • Mohamed Ali Houfi

    () (Sciences Juridiques, Economiques et de Gestion de Jendouba, Tunisie)

  • Ghassen El Montasser

    () (Ecole Supérieure de Commerce de Tunis, Tunisie)

Abstract

Dans ce papier, nous avons étudié l’impact de la correction des points aberrants sur les tests de normalité et de linéarité. A cet égard, la double correction en niveau et en rendement des séries journalières des cours des titres composants l’indice de Nikkei 225 a généré des améliorations plus pertinentes de ces tests. En tenant compte de la non linéarité des séries corrigées selon les trois approches (correction en niveau, correction en rendement et double correction en niveau et en rendement), la spécification FIGARCH du processus de volatilité engendre des meilleurs effets sur les tests de normalité et de linéarité ainsi qu’elle améliore la qualité de prévision des séries considérées.

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Bibliographic Info

Article provided by Department of International Business and Economics from the Academy of Economic Studies Bucharest in its journal Romanian Economic Journal.

Volume (Year): 13 (2010)
Issue (Month): 36 (June)
Pages: 15-51

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Handle: RePEc:rej:journl:v:13:y:2010:i:36:p:15-51

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Related research

Keywords: outliers; coefficients de normalité; volatilité; non linéarité; FIGARCH; out of sample;

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  1. Bollerslev, Tim & Engle, Robert F, 1993. "Common Persistence in Conditional Variances," Econometrica, Econometric Society, vol. 61(1), pages 167-86, January.
  2. Jussi Tolvi, 2001. "Outliers in eleven Finnish macroeconomic time series," Finnish Economic Papers, Finnish Economic Association, vol. 14(1), pages 14-32, Spring.
  3. Nathan S. Balke & Thomas B. Fomby, 1991. "Large shocks, small shocks, and economic fluctuations: outliers in macroeconomic times series," Research Paper 9101, Federal Reserve Bank of Dallas.
  4. Dijk, D.J.C. van & Franses, Ph.H.B.F. & Lucas, A., 1996. "Testing for Smooth Transition Nonlinearity in the Presence of Outliers," Econometric Institute Report EI 9622-/A, Erasmus University Rotterdam, Econometric Institute.
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  6. Charles, Amelie & Darne, Olivier, 2006. "Large shocks and the September 11th terrorist attacks on international stock markets," Economic Modelling, Elsevier, vol. 23(4), pages 683-698, July.
  7. Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996. "Fractionally integrated generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
  8. Nelson, Daniel B., 1990. "Stationarity and Persistence in the GARCH(1,1) Model," Econometric Theory, Cambridge University Press, vol. 6(03), pages 318-334, September.
  9. Franses, Philip Hans & Ghijsels, Hendrik, 1999. "Additive outliers, GARCH and forecasting volatility," International Journal of Forecasting, Elsevier, vol. 15(1), pages 1-9, February.
  10. Dijk, D.J.C. van & Franses, Ph.H.B.F. & Lucas, A., 1996. "Testing for ARCH in the Presence of Additive Outliers," Econometric Institute Report EI 9659-/A, Erasmus University Rotterdam, Econometric Institute.
  11. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
  12. Balke, Nathan S. & Fomby, Thomas B., 1991. "Shifting trends, segmented trends, and infrequent permanent shocks," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 61-85, August.
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