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International Stock Market Efficiency: A Non-Bayesian Time-Varying Model Approach

  • Mikio Ito
  • Akihiko Noda
  • Tatsuma Wada

This paper develops a non-Bayesian methodology to analyze the time-varying structure of international linkages and market efficiency in G7 countries. We consider a non-Bayesian time-varying vector autoregressive (TV-VAR) model, and apply it to estimate the joint degree of market efficiency in the sense of Fama (1970, 1991). Our empirical results provide a new perspective that the international linkages and market efficiency change over time and that their behaviors correspond well to historical events of the international financial system.

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File URL: http://arxiv.org/pdf/1203.5176
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Paper provided by arXiv.org in its series Papers with number 1203.5176.

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Date of creation: Mar 2012
Date of revision: May 2014
Publication status: Published in Applied Economics 46 (2014) 2744-2754
Handle: RePEc:arx:papers:1203.5176
Contact details of provider: Web page: http://arxiv.org/

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  1. Corhay, A. & Tourani Rad, A. & Urbain, J. -P., 1993. "Common stochastic trends in European stock markets," Economics Letters, Elsevier, vol. 42(4), pages 385-390.
  2. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
  3. Jeon, Bang Nam & Chiang, Thomas C., 1991. "A system of stock prices in world stock exchanges: Common stochastic trends for 1975-1990," Journal of Economics and Business, Elsevier, vol. 43(4), pages 329-338, November.
  4. Bénédicte Vidaillet & V. D'Estaintot & P. Abécassis, 2005. "Introduction," Post-Print hal-00287137, HAL.
  5. Yoshiro Tsutsui & Kenjiro Hirayama, 2004. "Appropriate lag specification for daily responses of international stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(14), pages 1017-1025.
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