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Empirical study on relationship between persistence-free trading volume and stock return volatility

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  • Fenghua, Wen
  • Xiaoguang, Yang

Abstract

A large body of literature finds that the unexpected trading volume, which is obtained by filtering out time trend, autocorrelation, can be used as a proxy of the information flow and can explain the heteroskedasticity of stock return in some degrees. In this paper, we find that the heteroskedasticity exists in the unexpected trading volume, and we further generate a new information proxy by filtering out the heteroskedasticity from the unexpected trading volume, termed "persistence-free trading volume". Our empirical results indicate that the persistence-free trading volume can explain the heteroskedasticity of the return better than the unexpected trading volume; moreover, the explanatory power of the persistence-free trading volume is positively related to market maturity.

Suggested Citation

  • Fenghua, Wen & Xiaoguang, Yang, 2009. "Empirical study on relationship between persistence-free trading volume and stock return volatility," Global Finance Journal, Elsevier, vol. 20(2), pages 119-127.
  • Handle: RePEc:eee:glofin:v:20:y:2009:i:2:p:119-127
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    References listed on IDEAS

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    1. Anirut Pisedtasalasai & Abeyratna Gunasekarage, 2007. "Causal and Dynamic Relationships among Stock Returns, Return Volatility and Trading Volume: Evidence from Emerging markets in South-East Asia," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(4), pages 277-297, December.
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    5. Ramaprasad Bhar & Shigeyuki Hamori, 2004. "Information Flow between Price Change and Trading Volume in Gold Futures Contracts," International Journal of Business and Economics, College of Business and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 3(1), pages 45-56, April.
    6. Lo, Andrew W & Wang, Jiang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 257-300.
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    Cited by:

    1. Girardin, Eric & Joyeux, Roselyne, 2013. "Macro fundamentals as a source of stock market volatility in China: A GARCH-MIDAS approach," Economic Modelling, Elsevier, vol. 34(C), pages 59-68.

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