Interaction among China-related stocks: evidence from a causality test with a new procedure
The purpose of this study is to investigate a causal relationship among five different indices of shares issued by Chinese firms, A-, B- and H-shares listed in China and Hong Kong. This article re-examines the interactions among these China-related stocks using daily time series data by constructing a vector autoregresion (VAR) model. A new Granger no-causality testing procedure developed by Toda and Yamamoto was applied to test the causality link among these five stock indices. The results suggest that the 'closed' B-share markets in Shanghai and Shenzhen exhibit causality relations with each other during the entire period between 1993 and 1999 but this pattern does not exist within A-share markets. Furthermore, evidence is also found of Granger causality running from Hong Kong H-shares to B-shares in Shanghai and Shenzhen, and from Shanghai B-shares to all the rest Chinese markets for the post-1996 period.
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Volume (Year): 14 (2004)
Issue (Month): 1 ()
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- Chui, Andy C W & Kwok, Chuck C Y, 1998. "Cross-Autocorrelation between A Shares and B Shares in the Chinese Stock Market," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(3), pages 333-353, Fall.
- 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.
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31690, Louisiana State University, Department of Agricultural Economics and Agribusiness.
- Zapata, Hector O & Rambaldi, Alicia N, 1997. "Monte Carlo Evidence on Cointegration and Causation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(2), pages 285-298, May.
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