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Stock return volatility and trading volume: evidence from the chinese stock market

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Author Info
Ping Wang
Peijie Wang
Aying Liu

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Abstract

This study investigates the dynamic relationship between stock return volatility and trading volume for individual stocks listed on the Chinese stock market as well as market portfolios of these stocks. We found that the inclusion of trading volume, which is used as a proxy of information arrival, in the GARCH specification reduces the persistence of the conditional variance dramatically, and the volume effect is positive and statistically significant in all the cases for individual stocks. Consistent with our analysis of the institutional and ownership structure of listed Chinese companies, trading volume is found to play a role of proxies of information arrivals for the two B share portfolios, but not for the two A share portfolios. Our conclusion is that the information-based effect helps in explaining the GARCH effect to a large extent. Nevertheless, GARCH does not completely vanish as a result of this inclusion.

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Journal of Chinese Economic and Business Studies.

Volume (Year): 3 (2005)
Issue (Month): 1 (January)
Pages: 39-54
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Handle: RePEc:taf:jocebs:v:3:y:2005:i:1:p:39-54

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Related research
Keywords: Trading volume; stock market return volatility; GARCH models; China;

References listed on IDEAS
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  1. Lamoureux, Christopher G & Lastrapes, William D, 1994. "Endogenous Trading Volume and Momentum in Stock-Return Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 253-60, April.
  2. Lamoureux, Christopher G & Lastrapes, William D, 1990. " Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-29, March. [Downloadable!] (restricted)
  3. Su, Dongwei & Fleisher, Belton M., 1999. "Why does return volatility differ in Chinese stock markets?," Pacific-Basin Finance Journal, Elsevier, vol. 7(5), pages 557-586, December. [Downloadable!] (restricted)
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  4. Wang, Ping & Liu, Aying & Wang, Peijie, 2004. "Return and risk interactions in Chinese stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 14(4), pages 367-383, October. [Downloadable!] (restricted)
  5. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March. [Downloadable!] (restricted)
  6. Lee, Bong-Soo & Rui, Oliver M., 2002. "The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(1), pages 51-78, January. [Downloadable!] (restricted)
  7. Su, Dongwei & Fleisher, Belton M., 1998. "Risk, Return and Regulation in Chinese Stock Markets," Journal of Economics and Business, Elsevier, vol. 50(3), pages 239-256, May. [Downloadable!] (restricted)
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