IDEAS home Printed from https://ideas.repec.org/a/wsi/rpbfmp/v17y2014i01ns0219091514500039.html
   My bibliography  Save this article

Institutional Trading and Stock Returns: Evidence from China

Author

Listed:
  • Bart Frijns

    (Department of Finance, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand)

  • Qiang Lai

    (Department of Finance, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand)

  • Alireza Tourani-Rad

    (Department of Finance, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand)

Abstract

Using a unique dataset containing daily institutional ownership information, we examine the relation between daily institutional trading and past, contemporaneous, and future stock returns on the Shanghai Stock Exchange (SSE). We find strong evidence of the price pressure effect induced by institutional trading, causing price impacts of up to 2.12% per day for the most intensively bought stocks. We further find that institutions are informed and momentum traders when buying but not when selling, which may be due to short-selling restrictions in China. Finally, our findings suggest that institutions engage in order splitting and/or herding behavior, as the price pressure effect is observed up to five days before and after the intense trading date.

Suggested Citation

  • Bart Frijns & Qiang Lai & Alireza Tourani-Rad, 2014. "Institutional Trading and Stock Returns: Evidence from China," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-26.
    • Handle: RePEc:wsi:rpbfmp:v:17:y:2014:i:01:n:s0219091514500039
    DOI: 10.1142/S0219091514500039
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219091514500039
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219091514500039?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. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2002. "Breadth of ownership and stock returns," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 171-205.
    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. Bin Wang & Wonseok Choi & Ibrahim Siraj, 2018. "Local investor attention and post-earnings announcement drift," Review of Quantitative Finance and Accounting, Springer, vol. 51(1), pages 219-252, July.
    2. Eunju Lee, 2016. "Short selling and market mispricing," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 797-833, October.
    3. Wen-Lin Wu & Yin-Feng Gau, 2017. "Home bias in portfolio choices: social learning among partially informed agents," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 527-556, February.
    4. Zheng, Dazhi & Li, Huimin & Zhu, Xiaowei, 2015. "Herding behavior in institutional investors: Evidence from China’s stock market," Journal of Multinational Financial Management, Elsevier, vol. 32, pages 59-76.
    5. Marius Popescu & Zhaojin Xu, 2018. "Leading the herd: evidence from mutual funds’ buy and sell decisions," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1131-1146, May.

    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. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
    2. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
    3. Stijn Claessens & M. Ayhan Kose, 2013. "Financial Crises: Explanations, Types and Implications," CAMA Working Papers 2013-06, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Brown, Stephen & Hillegeist, Stephen A. & Lo, Kin, 2009. "The effect of earnings surprises on information asymmetry," Journal of Accounting and Economics, Elsevier, vol. 47(3), pages 208-225, June.
    5. Shraddha Mishra & Raj Kumar, 2016. "Investigation of overvalued and undervalued stocks: the case of BSE Sensex," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 10(2), pages 177-189.
    6. Wenyuan Wang & Kaixin Yan & Xiang Yu, 2023. "Optimal Portfolio with Ratio Type Periodic Evaluation under Short-Selling Prohibition," Papers 2311.12517, arXiv.org, revised Dec 2023.
    7. Hauser, Florian & Huber, Jürgen, 2012. "Short-selling constraints as cause for price distortions: An experimental study," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1279-1298.
    8. Wei Xiong & Hongjun Yan, 2010. "Heterogeneous Expectations and Bond Markets," The Review of Financial Studies, Society for Financial Studies, vol. 23(4), pages 1433-1466, April.
    9. Broer, Tobias, 2018. "Securitization bubbles: Structured finance with disagreement about default risk," Journal of Financial Economics, Elsevier, vol. 127(3), pages 505-518.
    10. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
    11. Li, Frank Weikai & Sun, Chengzhu, 2022. "Information acquisition and expected returns: Evidence from EDGAR search traffic," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    12. Montone, Maurizio & Zhu, Yuhao & Zwinkels, Remco C.J., 2024. "Managerial sentiment and employment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
    13. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, March.
    14. Blau, Benjamin M. & Pinegar, J. Michael, 2013. "Are short sellers incrementally informed prior to earnings announcements?," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 142-155.
    15. Patrick J. Kelly, 2014. "Information Efficiency and Firm-Specific Return Variation," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-44.
    16. 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.
    17. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    18. Geertsema, Paul & Lu, Helen, 2020. "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, vol. 119(C).
    19. Jeon, Jin Q. & Lee, Cheolwoo & Nasser, Tareque & Via, M. Tony, 2015. "Multiple lead underwriter IPOs and firm visibility," Journal of Corporate Finance, Elsevier, vol. 32(C), pages 128-149.
    20. Gao, Lin & Süss, Stephan, 2015. "Market sentiment in commodity futures returns," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 84-103.

    More about this item

    Keywords

    Institutional trading; event study; China;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

    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:wsi:rpbfmp:v:17:y:2014:i:01:n:s0219091514500039. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/rpbfmp/rpbfmp.shtml .

    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.