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International stock market efficiency: a non-Bayesian time-varying model approach

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  • Mikio Ito
  • Akihiko Noda
  • Tatsuma Wada

Abstract

This article develops a non-Bayesian methodology to analyse 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 behaviours correspond well to historical events of the international financial system.

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File URL: http://hdl.handle.net/10.1080/00036846.2014.909579
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 46 (2014)
Issue (Month): 23 (August)
Pages: 2744-2754

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Handle: RePEc:taf:applec:v:46:y:2014:i:23:p:2744-2754

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  1. 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.
  2. 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.
  3. 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.
  4. 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.
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