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The high-volume return premium and changes in investor recognition

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  • Gordon, Narelle
  • Wu, Qiongbing

Abstract

The phenomenon of high-volume return premium is generally attributed to the visibility hypothesis proposed by Gervais et al. (2001) based on the theoretical framework of Miller (1977) and Merton's (1987) investor recognition hypothesis. However, no existing empirical study has directly tested the visibility hypothesis due to the lack of high-frequency shareholding data. In this paper, we utilize the unique daily shareholding data for stocks listed on the Australian Stock Exchange to directly test this hypothesis by examining the relationship between the high-volume return premium and changes in investor recognition. We find that high-volume shocks do attract more investor attention and increase the investor base on the date of, and following, the shocks. This provides direct empirical evidence in support of the visibility explanation for the high-volume return premium. We also find that institutional and individual investors attend to different kinds of stocks; stocks attracting more institutional (individual) investors outperform (underperform) subsequent the volume shocks and exhibit a higher (lower) high-volume return premium. Our findings shed new light on the visibility hypothesis by showing that recognition/attention from institutional or individual investor is also crucial in determining the extent of the high-volume return premium and may help to reconcile the existing mixed empirical evidence across international markets.

Suggested Citation

  • Gordon, Narelle & Wu, Qiongbing, 2018. "The high-volume return premium and changes in investor recognition," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 121-136.
    • Handle: RePEc:eee:pacfin:v:51:y:2018:i:c:p:121-136
    DOI: 10.1016/j.pacfin.2018.06.006
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    1. David Colwell & Julia Henker & Terry Walter, 2008. "Effect of Investor Category Trading Imbalances on Stock Returns," International Review of Finance, International Review of Finance Ltd., vol. 8(3‐4), pages 179-206, September.
    2. Cooper, Michael, 1999. "Filter Rules Based on Price and Volume in Individual Security Overreaction," The Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 901-935.
    3. Conrad, Jennifer S & Hameed, Allaudeen & Niden, Cathy, 1994. "Volume and Autocovariances in Short-Horizon Individual Security Returns," Journal of Finance, American Finance Association, vol. 49(4), pages 1305-1329, September.
    4. James J. Choi & Li Jin & Hongjun Yan, 2013. "What Does Stock Ownership Breadth Measure?," Review of Finance, European Finance Association, vol. 17(4), pages 1239-1278.
    5. Wang, Peipei & Wen, Yuanji & Singh, Harminder, 2017. "The high-volume return premium: Does it exist in the Chinese stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 46(PB), pages 323-336.
    6. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    7. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    8. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    9. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    10. Soeren Hvidkjaer, 2008. "Small Trades and the Cross-Section of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1123-1151, May.
    11. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    12. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    13. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    14. Kaniel, Ron & Ozoguz, Arzu & Starks, Laura, 2012. "The high volume return premium: Cross-country evidence," Journal of Financial Economics, Elsevier, vol. 103(2), pages 255-279.
    15. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    16. Beaver, Wh, 1968. "Information Content Of Annual Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 6, pages 67-92.
    17. Zhaodan Huang & James B. Heian & Ting Zhang, 2011. "Differences Of Opinion, Overconfidence, And The High‐Volume Premium," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 34(1), pages 1-25, March.
    18. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    19. Jon A. Garfinkel & Jonathan Sokobin, 2006. "Volume, Opinion Divergence, and Returns: A Study of Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 85-112, March.
    20. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    21. Zhaodan Huang & James B. Heian, 2010. "Trading‐Volume Shocks And Stock Returns: An Empirical Analysis," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(2), pages 153-177, June.
    22. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    23. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
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    Cited by:

    1. Chae, Joon & Kang, Mhin, 2019. "Low-volume return premium in the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    2. Xingjian Zheng & Dehua Shen, 2020. "The High-Volume Return Premium: Does it Really Exist in the Chinese Stock Market?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(2), pages 213-230, June.

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    More about this item

    Keywords

    High volume return premium; Investor recognition; Breadth of ownership; Investor base; Institutional ownership;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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