IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwedp/201011.html
   My bibliography  Save this paper

New sight of herding behavioural through trading volume

Author

Listed:
  • Hachicha, Nizar

Abstract

In this study, we employ an innovative new methodology inspired from the approach of Hwang and Salmon (2004) and based on the cross sectional dispersion of trading volume to examine the herding behavior on Toronto stock exchange. Our findings show that the herd phenomenon consists of three essential components: stationary herding which signals the existence of the phenomenon whatever the market conditions, intentional herding relative to the anticipations of the investors concerning the totality of assets, and the third component highlights that the current herding depends on the previous one which is the feedback herding.

Suggested Citation

  • Hachicha, Nizar, 2010. "New sight of herding behavioural through trading volume," Economics Discussion Papers 2010-11, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwedp:201011
    as

    Download full text from publisher

    File URL: http://www.economics-ejournal.org/economics/discussionpapers/2010-11
    Download Restriction: no
    File URL: https://www.econstor.eu/bitstream/10419/30149/1/619888938.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Pop, Raluca Elena, 2012. "Herd behavior towards the market index: evidence from Romanian stock exchange," MPRA Paper 51595, University Library of Munich, Germany.
    2. Muhammad Kashif & Rana Palwishah & Rizwan Raheem Ahmed & Jolita Vveinhardt & Dalia Streimikiene, 2021. "Do investors herd? An examination of Pakistan stock exchange," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2090-2105, April.
    3. Yudhvir Seetharam, 2013. "An Analysis of Herding Behaviour during Market Cycles in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 5(2), pages 89-98.

    More about this item

    Keywords

    Herding behavior; market return; trading volume;
    All these keywords.

    JEL classification:

    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

    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:zbw:ifwedp:201011. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/iwkiede.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.