IDEAS home Printed from https://ideas.repec.org/a/mfj/journl/v19y2015i4p267-313.html
   My bibliography  Save this article

Trading Volume and Momentum: The International Evidence

Author

Listed:
  • Graham Bornholt

    (Griffith University, Australia)

  • Paul Dou

    (Monash University, Australia)

  • Mirela Malin

    (Griffith University, Australia)

Abstract

We investigate the role of trading volume in predicting the magnitude and persistence of the price momentum phenomenon in markets around the world. Using comprehensive data for 38,273 stocks from 37 countries, we show that past trading volume relates to both the level and persistence of momentum profits. The volume-based early stage momentum strategy outperforms the traditional momentum strategy in 34 out of 37 countries. In addition, we find evidence of a volume effect and we show that the degree of individualism in a country can explain the size of the volume effect in the markets investigated in this paper.

Suggested Citation

  • Graham Bornholt & Paul Dou & Mirela Malin, 2015. "Trading Volume and Momentum: The International Evidence," Multinational Finance Journal, Multinational Finance Journal, vol. 19(4), pages 267-313, December.
    • Handle: RePEc:mfj:journl:v:19:y:2015:i:4:p:267-313
    as

    Download full text from publisher

    File URL: http://www.mfsociety.org/modules/modDashboard/uploadFiles/journals/MJ~0~p1a4fk7lfg1h65i61du41mm5lt14.pdf
    Download Restriction: no
    File URL: http://www.mfsociety.org/modules/modDashboard/uploadFiles/journals/googleScholar/1176.html
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    3. Geert Bekaert & Campbell R. Harvey & Christian Lundblad & Stephan Siegel, 2007. "Global Growth Opportunities and Market Integration," Journal of Finance, American Finance Association, vol. 62(3), pages 1081-1137, June.
    4. Bulkley, George & Nawosah, Vivekanand, 2009. "Can the Cross-Sectional Variation in Expected Stock Returns Explain Momentum?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 777-794, August.
    5. Kalok Chan & Vicentiu Covrig & Lilian Ng, 2005. "What Determines the Domestic Bias and Foreign Bias? Evidence from Mutual Fund Equity Allocations Worldwide," Journal of Finance, American Finance Association, vol. 60(3), pages 1495-1534, June.
    6. Beugelsdijk, Sjoerd & Frijns, Bart, 2010. "A cultural explanation of the foreign bias in international asset allocation," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2121-2131, September.
    7. 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.
    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. Júlio Lobão & Patrícia Piedade & Srinivas Nippani, 2022. "Does stock trading volume signal future dividends? Evidence from Iberian firms," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(1), pages 53-66, January.
    2. Ramzi Boussaidi & Chaima Hmida, 2017. "Profitability of the Momentum Strategies in the Tunisian Stock Market," Business and Economic Research, Macrothink Institute, vol. 7(1), pages 17-32, June.

    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. Tanos, Barbara Abou, 2022. "Culture and mutual funds’ performance," Finance Research Letters, Elsevier, vol. 46(PB).
    2. Ellul, Andrew & Holden, Craig W. & Jain, Pankaj & Jennings, Robert, 2007. "Order dynamics: Recent evidence from the NYSE," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 636-661, December.
    3. Hau, Liya & Zhu, Huiming & Shahbaz, Muhammad & Sun, Wuqin, 2021. "Does transaction activity predict Bitcoin returns? Evidence from quantile-on-quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    4. Rodrigo Aranda & Patricio Jaramillo, 2008. "Nonlinear Dynamic in the Chilean Stock Market: Evidence from Returns and Trading Volume," Working Papers Central Bank of Chile 463, Central Bank of Chile.
    5. Gagnon, Louis & Karolyi, G. Andrew, 2009. "Information, Trading Volume, and International Stock Return Comovements: Evidence from Cross-Listed Stocks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 953-986, August.
    6. Ryan Sullivan & Allan Timmermann & Halbert White, 1999. "Data‐Snooping, Technical Trading Rule Performance, and the Bootstrap," Journal of Finance, American Finance Association, vol. 54(5), pages 1647-1691, October.
    7. Hao FANG & Yang-Cheng Lu & Hwey-Yun Yau & Yen-Hsien Lee, 2013. "Stock Characteristics Herded By Foreign Investors With Higher Abnormal Returns In The Taiwan Stock Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 232-245, December.
    8. Elina Pradkhan, 2016. "Information Content of Trading Activity in Precious Metals Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 421-456, May.
    9. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, November.
    10. Gyu Hyun Kim, 2020. "Non-fundamental Home Bias in International Equity Markets," Papers 2012.06716, arXiv.org.
    11. Kausik Chaudhuri & Alok Kumar, 2015. "A Markov-Switching Model for Indian Stock Price and Volume," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(3), pages 239-257, December.
    12. Wang, Zijun & Qian, Yan & Wang, Shiwen, 2018. "Dynamic trading volume and stock return relation: Does it hold out of sample?," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 195-210.
    13. 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.
    14. Fedenia, Mark & Shafer, Sherrill & Skiba, Hilla, 2013. "Information immobility, industry concentration, and institutional investors’ performance," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 2140-2159.
    15. Thapa, Chandra & Poshakwale, Sunil S., 2012. "Country-specific equity market characteristics and foreign equity portfolio allocation," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 189-211.
    16. Zhou, Xiaoguang & Cui, Yadi & Wu, Shihwei & Wang, Weiqing, 2019. "The influence of cultural distance on the volatility of the international stock market," Economic Modelling, Elsevier, vol. 77(C), pages 289-300.
    17. Rashid, Abdul, 2007. "Stock prices and trading volume: An assessment for linear and nonlinear Granger causality," Journal of Asian Economics, Elsevier, vol. 18(4), pages 595-612, August.
    18. Hussain, Syed Mujahid, 2011. "Intraday trading volume and international spillover effects," Research in International Business and Finance, Elsevier, vol. 25(2), pages 183-194, June.
    19. Yaseen S. Alhaj-Yaseen & Eddery Lam & John T. Barkoulas, 2012. "Going public abroad: the dynamics of return spillovers in an atypical international cross listing case," Applied Financial Economics, Taylor & Francis Journals, vol. 22(24), pages 2035-2046, December.
    20. Li, Jie & Ren, Da & Feng, Xu & Zhang, Yongjie, 2016. "Network of listed companies based on common shareholders and the prediction of market volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 508-521.

    More about this item

    Keywords

    early stage momentum; national culture; volume effect; turnover; individualism;
    All these keywords.

    JEL classification:

    • 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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:mfj:journl:v:19:y:2015:i:4:p:267-313. 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: Theodossiou Panayiotis (email available below). General contact details of provider: https://edirc.repec.org/data/mfsssea.html .

    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.