IDEAS home Printed from https://ideas.repec.org/a/bla/jfinan/v58y2003i4p1521-1556.html
   My bibliography  Save this article

Momentum and Reversals in Equity-Index Returns During Periods of Abnormal Turnover and Return Dispersion

Author

Listed:
  • Robert Connolly

    (Kenan-Flagler Business School at the University of North Carolina at Chapel Hill)

  • Chris Stivers

    (Kenan-Flagler Business School at the University of North Carolina at Chapel Hill)

Abstract

We document new patterns in the dynamics between stock returns and trading volume. Specifically, we find substantial momentum (reversals) in consecutive weekly returns when the latter week has unexpectedly high (low) turnover. This pattern is evident in equity indices, index futures, and individual stocks. Similarly, we also find that the autocorrelation in equity-index returns is increasing with the unexpected dispersion across the latter week's firm-level returns. Weeks with extreme turnover and dispersion shocks (both high and low) tend to have more macroeconomic news releases. Our findings bear on understanding price formation and the economic interpretation of turnover and dispersion shocks. Copyright (c) 2003 by the American Finance Association.

Suggested Citation

  • Robert Connolly & Chris Stivers, 2003. "Momentum and Reversals in Equity-Index Returns During Periods of Abnormal Turnover and Return Dispersion," Journal of Finance, American Finance Association, vol. 58(4), pages 1521-1556, August.
  • Handle: RePEc:bla:jfinan:v:58:y:2003:i:4:p:1521-1556
    as

    Download full text from publisher

    File URL: http://www.blackwell-synergy.com/servlet/useragent?func=synergy&synergyAction=showTOC&journalCode=jofi&volume=58&issue=4&year=2003&part=null
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.

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

    Citations

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


    Cited by:

    1. Demirer, Rıza & Jategaonkar, Shrikant P. & Khalifa, Ahmed A.A., 2015. "Oil price risk exposure and the cross-section of stock returns: The case of net exporting countries," Energy Economics, Elsevier, vol. 49(C), pages 132-140.
    2. Amil Dasgupta & Andrea Prat & Michela Verardo, 2011. "The Price Impact of Institutional Herding," Review of Financial Studies, Society for Financial Studies, vol. 24(3), pages 892-925.
    3. Yao, Yi & Yang, Rong & Liu, Zhiyuan & Hasan, Iftekhar, 2013. "Government intervention and institutional trading strategy: Evidence from a transition country," Global Finance Journal, Elsevier, vol. 24(1), pages 44-68.
    4. Michael E. Drew & Madhu Veeraraghavan & Min Ye, 2007. "Do momentum strategies work? Australian evidence," Managerial Finance, Emerald Group Publishing, vol. 33(10), pages 772-787, September.
    5. repec:eee:finana:v:56:y:2018:i:c:p:264-280 is not listed on IDEAS
    6. Ramiah, Vikash & Xu, Xiaoming & Moosa, Imad A., 2015. "Neoclassical finance, behavioral finance and noise traders: A review and assessment of the literature," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 89-100.
    7. Henryk Gurgul & Roland Mestel & Tomasz Wojtowicz, 2007. "Distribution of volume on the American stock market," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 1, pages 143-163.
    8. repec:eco:journ1:2017-03-84 is not listed on IDEAS
    9. Albuquerque, Rui & Miao, Jianjun, 2014. "Advance information and asset prices," Journal of Economic Theory, Elsevier, vol. 149(C), pages 236-275.
    10. 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.
    11. Kinnunen, Jyri, 2013. "Dynamic return predictability in the Russian stock market," Emerging Markets Review, Elsevier, vol. 15(C), pages 107-121.
    12. Henryk Gurgul & Tomasz Wojtowicz, 2006. "Long-run properties of trading volume and volatility of equities listed in DJIA index," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 3, pages 29-56.
    13. Maio, Paulo, 2016. "Cross-sectional return dispersion and the equity premium," Journal of Financial Markets, Elsevier, vol. 29(C), pages 87-109.
    14. repec:sgm:jbfeuw:v:2:y:2017:i:8:p:27-53 is not listed on IDEAS
    15. Boulis Ibrahim & Janusz Brzeszczynski, 2013. "Interdependence of Stock Markets Before and After the Global Financial Crisis of 2007," CFI Discussion Papers 1305, Centre for Finance and Investment, Heriot Watt University.
    16. repec:eee:ecofin:v:42:y:2017:i:c:p:266-284 is not listed on IDEAS
    17. Kinnunen, Jyri, 2014. "Risk-return trade-off and serial correlation: Do volume and volatility matter?," Journal of Financial Markets, Elsevier, vol. 20(C), pages 1-19.
    18. Chichernea, Doina C. & Holder, Anthony D. & Petkevich, Alex, 2015. "Does return dispersion explain the accrual and investment anomalies?," Journal of Accounting and Economics, Elsevier, vol. 60(1), pages 133-148.
    19. Xiaoquan Jiang, 2010. "Return dispersion and expected returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 24(2), pages 107-135, June.
    20. Kao, Erin H., 2011. "Momentum and reversals in Taiwan index futures returns during periods of extreme trading imbalance," International Review of Economics & Finance, Elsevier, vol. 20(3), pages 459-467, June.
    21. Anderson, Robert M. & Eom, Kyong Shik & Hahn, Sang Buhm & Park, Jong-Ho, 2013. "Autocorrelation and partial price adjustment," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 78-93.
    22. Amini, Shima & Gebka, Bartosz & Hudson, Robert & Keasey, Kevin, 2013. "A review of the international literature on the short term predictability of stock prices conditional on large prior price changes: Microstructure, behavioral and risk related explanations," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 1-17.
    23. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.
    24. Connolly, Robert & Stivers, Chris, 2006. "Information content and other characteristics of the daily cross-sectional dispersion in stock returns," Journal of Empirical Finance, Elsevier, vol. 13(1), pages 79-112, January.
    25. Lin, Mei-Chen & Wu, Chu-Hua & Chiang, Ming-Ti, 2014. "Investor attention and information diffusion from analyst coverage," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 235-246.

    More about this item

    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:bla:jfinan:v:58:y:2003:i:4:p:1521-1556. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/afaaaea.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.