Stock return volatility and trading volume: evidence from the chinese stock market
AbstractThis 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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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Journal of Chinese Economic and Business Studies.
Volume (Year): 3 (2005)
Issue (Month): 1 ()
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- Belton Fleisher & Dongwei Su, 1998.
"Why Does Return Volatility Differ in Chinese Stock Markets?,"
98-03, Ohio State University, Department of Economics.
- 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.
- Belton Fleisher & Dongwei Su, 1996.
"Risk, Return and Regulation in Chinese Stock Markets,"
005, Ohio State University, Department of Economics.
- 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.
- 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.
- 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.
- 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.
- M. F. Omran & E. McKenzie, 2000. "Heteroscedasticity in stock returns data revisited: volume versus GARCH effects," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 553-560.
- Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
- Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
- 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.
- repec:ebl:ecbull:v:7:y:2008:i:15:p:1-16 is not listed on IDEAS
- Loredana Ureche-Rangau & Fabien Collado & Ulysse Galiay, 2011. "The dynamics of the volatility – trading volume relationship: New evidence from developed and emerging markets," Economics Bulletin, AccessEcon, vol. 31(3), pages 2569-2583.
- Brajesh Kumar & Priyanka Singh & Ajay Pandey, 2010. "The Dynamic Relationship between Price and Trading Volume: Evidence from Indian Stock Market," Working Papers id:2379, eSocialSciences.
- Müller, Christian, 2012. "A new interpretation of known facts: The case of two-way causality between trading and volatility," Economic Modelling, Elsevier, vol. 29(3), pages 664-670.
- Kumar, Brajesh & Singh, Priyanka & Pandey, Ajay, . "The Dynamic Relationship between Price and Trading Volume:Evidence from Indian Stock Market," IIMA Working Papers WP2009-12-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
- Shyh-Wei Chen, 2008. "Untangling the nexus of stock price and trading volume: evidence from the Chinese stock market," Economics Bulletin, AccessEcon, vol. 7(15), pages 1-16.
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