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Testing Financial Integration: Finite Sample Motivated Mothods

Author

Listed:
  • Marie-Claude Beaulieu

    (Université Laval)

  • Lynda Khalaf

    (Université Laval)

  • Marie-Hélène Gagnon

    (Université Laval)

Abstract

This paper examines financial market integration in North-America from January 1984 to December 2003, using two basic CAPM and APT test models. We introduce a methodology valid in finite samples for the CAPM model. A pivotal statistic is introduced to correct for the so-called dimensionality curse which affects the critical points of the LR test statistic under the null hypothesis. When using this methodology, the null hypothesis of integration is strongly rejected for all sub-periods. Our results differ from those obtained in previous studies such as Mittoo (1992) using an asymptotic methodology. Next, an APT model with pre specified factors is used in order to test the null hypothesis of integration. The factors used are the Fama and French factors. In the latter two-pass test context, we introduce a split sample methodology in order to correct for the pre-estimation of BETAS. Moreover, we consider (and form) Fama and French factors for Canada for the 1984-2003 period. With this methodology, we again strongly reject the hypothesis of integration except for two sub-periods. Fama and French factors appear to have a different effect on the Canadian and American stock returns

Suggested Citation

  • Marie-Claude Beaulieu & Lynda Khalaf & Marie-Hélène Gagnon, 2006. "Testing Financial Integration: Finite Sample Motivated Mothods," Computing in Economics and Finance 2006 233, Society for Computational Economics.
    • Handle: RePEc:sce:scecfa:233
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    File URL: http://repec.org/sce2006/up.5040.1140796676.pdf
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    References listed on IDEAS

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    1. Campbell, John Y & Hamao, Yasushi, 1992. "Predictable Stock Returns in the United States and Japan: A Study of Long-Term Capital Market Integration," Journal of Finance, American Finance Association, vol. 47(1), pages 43-69, March.
    2. Jean-Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 36(4), pages 767-808, November.
    3. Jorion, Philippe & Schwartz, Eduardo, 1986. "Integration vs. Segmentation in the Canadian Stock Market," Journal of Finance, American Finance Association, vol. 41(3), pages 603-614, July.
    4. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(4), pages 691-705, August.
    5. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(1), pages 225-228, February.
    6. Dufour, Jean-Marie & Khalaf, Lynda, 2002. "Simulation based finite and large sample tests in multivariate regressions," Journal of Econometrics, Elsevier, vol. 111(2), pages 303-322, December.
    7. Dufour, Jean-Marie & Jasiak, Joann, 2001. "Finite Sample Limited Information Inference Methods for Structural Equations and Models with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(3), pages 815-843, August.
    8. repec:bla:jfinan:v:44:y:1989:i:4:p:849-69 is not listed on IDEAS
    9. Jean‐Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(4), pages 767-808, November.
    10. George Koutoulas & Lawrence Kryzanowski, 1994. "Integration or Segmentation of the Canadian Stock Market: Evidence Based on the APT," Canadian Journal of Economics, Canadian Economics Association, vol. 27(2), pages 329-351, May.
    11. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(5), pages 879-883, October.
    12. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(2), pages 411-413, April.
    13. Chan, K. C. & Karolyi, G. Andrew & Stulz, ReneM., 1992. "Global financial markets and the risk premium on U.S. equity," Journal of Financial Economics, Elsevier, vol. 32(2), pages 137-167, October.
    14. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    15. Shanken, Jay, 1986. "Testing Portfolio Efficiency When the Zero-Beta Rate Is Unknown: A Note," Journal of Finance, American Finance Association, vol. 41(1), pages 269-276, March.
    16. Errunza, Vihang & Losq, Etienne & Padmanabhan, Prasad, 1992. "Tests of integration, mild segmentation and segmentation hypotheses," Journal of Banking & Finance, Elsevier, vol. 16(5), pages 949-972, September.
    17. Khalaf, Lynda & Saphores, Jean-Daniel & Bilodeau, Jean-Francois, 2003. "Simulation-based exact jump tests in models with conditional heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 28(3), pages 531-553, December.
    18. ,, 2003. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 19(6), pages 1195-1198, December.
    19. Black, Fischer, 1972. "Capital Market Equilibrium with Restricted Borrowing," The Journal of Business, University of Chicago Press, vol. 45(3), pages 444-455, July.
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    Keywords

    market integration; finite sample methods;

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