IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v48y2018icp1-16.html
   My bibliography  Save this article

Volume shocks and stock returns: An alternative test

Author

Listed:
  • Zhong, Angel
  • Chai, Daniel
  • Li, Bob
  • Chiah, Mardy

Abstract

Using an alternative measure for abnormal trading volume, this article examines the role of volume shock in the generation of stock returns. We find a strong high volume effect at both portfolio and individual stock levels. A strategy that buys stocks experiencing high volume shocks and sells stocks experiencing low volume shocks generates positive returns up to 12 months after formation. The effect is robust after controlling for other stock characteristics that are known to affect stock returns. Our results show that trading volume becomes relatively higher after high volume shocks. Moreover, the relation between volume shocks and stock returns is stronger for stocks that previously failed to catch investors' attention. This finding is consistent with the view that abnormal trading volume proxies for unobserved attention-grabbing events. However, we find no evidence that volume shocks are priced.

Suggested Citation

  • Zhong, Angel & Chai, Daniel & Li, Bob & Chiah, Mardy, 2018. "Volume shocks and stock returns: An alternative test," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 1-16.
    • Handle: RePEc:eee:pacfin:v:48:y:2018:i:c:p:1-16
    DOI: 10.1016/j.pacfin.2018.01.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X16302785
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.pacfin.2018.01.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ron Kaniel & Gideon Saar & Sheridan Titman, 2008. "Individual Investor Trading and Stock Returns," Journal of Finance, American Finance Association, vol. 63(1), pages 273-310, February.
    2. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    3. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    4. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    5. Edward A. Dyl, 2006. "The Share Price Puzzle," The Journal of Business, University of Chicago Press, vol. 79(4), pages 2045-2066, July.
    6. Chuang, Wen-I & Lee, Bong-Soo, 2006. "An empirical evaluation of the overconfidence hypothesis," Journal of Banking & Finance, Elsevier, vol. 30(9), pages 2489-2515, September.
    7. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    8. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    9. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    10. repec:bla:jfinan:v:53:y:1998:i:5:p:1775-1798 is not listed on IDEAS
    11. Glaser, Markus & Weber, Martin, 2009. "Which past returns affect trading volume?," Journal of Financial Markets, Elsevier, vol. 12(1), pages 1-31, February.
    12. 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.
    13. Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
    14. Peng, Lin & Xiong, Wei, 2006. "Investor attention, overconfidence and category learning," Journal of Financial Economics, Elsevier, vol. 80(3), pages 563-602, June.
    15. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    16. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    17. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    18. Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 1-28.
    19. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    20. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    21. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    22. 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.
    23. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    24. Daniel, Kent & Titman, Sheridan, 1997. "Evidence on the Characteristics of Cross Sectional Variation in Stock Returns," Journal of Finance, American Finance Association, vol. 52(1), pages 1-33, March.
    25. Tim Brailsford & Clive Gaunt & Michael A O’Brien, 2012. "Size and book-to-market factors in Australia," Australian Journal of Management, Australian School of Business, vol. 37(2), pages 261-281, August.
    26. 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.
    27. 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.
    28. Turan G. Bali & Lin Peng & Yannan Shen & Yi Tang, 2014. "Liquidity Shocks and Stock Market Reactions," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1434-1485.
    29. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
    30. 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.
    31. Boyce D. Watkins, 2006. "Institutional Ownership and Return Reversals Following Short‐Term Return Consistency," The Financial Review, Eastern Finance Association, vol. 41(3), pages 435-448, August.
    32. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    33. 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.
    34. Zhong, Angel & Gray, Philip, 2016. "The MAX effect: An exploration of risk and mispricing explanations," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 76-90.
    35. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    36. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
    37. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 32(1), pages 1-36, June.
    38. repec:bla:jfinan:v:59:y:2004:i:3:p:1345-1365 is not listed on IDEAS
    39. Roger K. Loh, 2010. "Investor Inattention and the Underreaction to Stock Recommendations," Financial Management, Financial Management Association International, vol. 39(3), pages 1223-1252, September.
    40. 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.
    41. Chan, Howard W. & Faff, Robert W., 2003. "An investigation into the role of liquidity in asset pricing: Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 11(5), pages 555-572, November.
    42. Charles M.C. Lee & Bhaskaran Swaminathan, 2000. "Price Momentum and Trading Volume," Journal of Finance, American Finance Association, vol. 55(5), pages 2017-2069, October.
    43. Harrison Hong & Jeremy C. Stein, 2007. "Disagreement and the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 109-128, Spring.
    44. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    45. Edward A. Dyl & William B. Elliott & John C. Handley, 2002. "Do share prices matter?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 42(3), pages 225-237, November.
    46. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2015. "The Determinants and Consequences of Information Acquisition via EDGAR," Contemporary Accounting Research, John Wiley & Sons, vol. 32(3), pages 1128-1161, September.
    47. 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.
    48. Li, Wei & Rhee, Ghon & Wang, Steven Shuye, 2017. "Differences in herding: Individual vs. institutional investors," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 174-185.
    49. Richard W. Sias & Laura T. Starks, 2006. "Changes in Institutional Ownership and Stock Returns: Assessment and Methodology," The Journal of Business, University of Chicago Press, vol. 79(6), pages 2869-2910, November.
    50. Datar, Vinay T. & Y. Naik, Narayan & Radcliffe, Robert, 1998. "Liquidity and stock returns: An alternative test," Journal of Financial Markets, Elsevier, vol. 1(2), pages 203-219, August.
    51. Karpoff, Jonathan M, 1986. "A Theory of Trading Volume," Journal of Finance, American Finance Association, vol. 41(5), pages 1069-1087, December.
    52. James A. Ligon, 1997. "A Simultaneous Test Of Competing Theories Regarding The January Effect," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(1), pages 13-32, March.
    53. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," The Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bajzik, Josef, 2021. "Trading volume and stock returns: A meta-analysis," International Review of Financial Analysis, Elsevier, vol. 78(C).
    2. Ma, Yao & Yang, Baochen & Su, Yunpeng, 2021. "Stock return predictability: Evidence from moving averages of trading volume," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    3. Luo, Dan & Mao, Yipeng, 2021. "Fundamental volatility and informative trading volume in a rational expectations equilibrium," Economic Modelling, Elsevier, vol. 105(C).
    4. Philip Gray & Angel Zhong, 2022. "Assessing the usefulness of daily and monthly asset‐pricing factors for Australian equities," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 181-211, March.
    5. Ang, Tze Chuan 'Chewie' & Azad, A.S.M. Sohel & Pham, Thu A.T. & Zhong, Angel, 2021. "Firm efficiency and stock returns: Australian evidence," International Review of Financial Analysis, Elsevier, vol. 78(C).
    6. Zhang, Xinyue & Bissoondoyal-Bheenick, Emawtee & Zhong, Angel, 2023. "Investor sentiment and stock market anomalies in Australia," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 284-303.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Turan G. Bali & Robert F. Engle & Yi Tang, 2017. "Dynamic Conditional Beta Is Alive and Well in the Cross Section of Daily Stock Returns," Management Science, INFORMS, vol. 63(11), pages 3760-3779, November.
    2. Sun, Kaisi & Wang, Hui & Zhu, Yifeng, 2023. "Salience theory in price and trading volume: Evidence from China," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 38-61.
    3. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, June.
    4. Ma, Yao & Yang, Baochen & Su, Yunpeng, 2021. "Stock return predictability: Evidence from moving averages of trading volume," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    5. Atilgan, Yigit & Bali, Turan G. & Demirtas, K. Ozgur & Gunaydin, A. Doruk, 2020. "Left-tail momentum: Underreaction to bad news, costly arbitrage and equity returns," Journal of Financial Economics, Elsevier, vol. 135(3), pages 725-753.
    6. Cosemans, Mathijs & Frehen, Rik, 2021. "Salience theory and stock prices: Empirical evidence," Journal of Financial Economics, Elsevier, vol. 140(2), pages 460-483.
    7. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    8. David Hirshleifer & Po-Hsuan Hsu & Dongmei Li, 2018. "Innovative Originality, Profitability, and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2553-2605.
    9. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
    10. Jordan Moore, 2020. "Glamour among value: P/E ratios and value investor attention," Financial Management, Financial Management Association International, vol. 49(3), pages 673-706, September.
    11. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
    12. Chen, Tsung-Yu & Chao, Ching-Hsiang & Wu, Zhen-Xing, 2021. "Does the turnover effect matter in emerging markets? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    13. Guo, Hui & Qiu, Buhui, 2014. "Options-implied variance and future stock returns," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 93-113.
    14. DeLisle, R. Jared & Ferguson, Michael F. & Kassa, Haimanot & Zaynutdinova, Gulnara R., 2021. "Hazard stocks and expected returns," Journal of Banking & Finance, Elsevier, vol. 125(C).
    15. Wang, Zijun, 2021. "The high volume return premium and economic fundamentals," Journal of Financial Economics, Elsevier, vol. 140(1), pages 325-345.
    16. Iwanaga, Yasuhiro & Hirose, Takehide, 2023. "Liquidity changes and decomposition in the Japanese equity market," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).
    17. Alexander Barinov, 2014. "Turnover: Liquidity or Uncertainty?," Management Science, INFORMS, vol. 60(10), pages 2478-2495, October.
    18. Leung, Woon Sau & Evans, Kevin P. & Mazouz, Khelifa, 2020. "The R&D anomaly: Risk or mispricing?," Journal of Banking & Finance, Elsevier, vol. 115(C).
    19. Jungshik Hur & Vivek Singh, 2016. "Reexamining momentum profits: Underreaction or overreaction to firm-specific information?," Review of Quantitative Finance and Accounting, Springer, vol. 46(2), pages 261-289, February.
    20. Waszczuk, Antonina, 2013. "A risk-based explanation of return patterns—Evidence from the Polish stock market," Emerging Markets Review, Elsevier, vol. 15(C), pages 186-210.

    More about this item

    Keywords

    Trading volume; Volume shocks; Asset pricing; Attention;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:pacfin:v:48:y:2018:i:c:p:1-16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/pacfin .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.