IDEAS home Printed from https://ideas.repec.org/a/taf/hbhfxx/v21y2020i2p174-185.html
   My bibliography  Save this article

Country herding in the global market

Author

Listed:
  • Tao Chen

Abstract

Using the tick-by-tick transaction data for 41 stock markets, the authors examine whether investors follow each other into and out of the same countries, dubbed country herding. Empirical evidence is sought to substantiate the existence of country herding in international markets regardless of retail and institutional investors. Additional tests suggest that country herding is not simply a reflection of stock herding, industry herding, and market co-movements. Finally, the findings demonstrate that country herding may be partly driven by investigative herding, market stresses, and investor sentiments.

Suggested Citation

  • Tao Chen, 2020. "Country herding in the global market," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(2), pages 174-185, April.
    • Handle: RePEc:taf:hbhfxx:v:21:y:2020:i:2:p:174-185
    DOI: 10.1080/15427560.2019.1663852
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15427560.2019.1663852
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/15427560.2019.1663852?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.

    Citations

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


    Cited by:

    1. Tao Chen, 2022. "A cross‐country study on informed herding," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4336-4349, October.
    2. Monica Laura Zlati & Romeo Victor Ionescu & Valentin Marian Antohi, 2022. "Modelling the Vulnerability of Financial Accounting Systems during Global Challenges: A Comparative Analysis," Mathematics, MDPI, vol. 10(9), pages 1-21, April.
    3. Papadamou, Stephanos & Kyriazis, Nikolaos A. & Tzeremes, Panayiotis & Corbet, Shaen, 2021. "Herding behaviour and price convergence clubs in cryptocurrencies during bull and bear markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    4. Fabio Della Rossa & Lorenzo Giannini & Pietro DeLellis, 2020. "Herding or wisdom of the crowd? Controlling efficiency in a partially rational financial market," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.

    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:taf:hbhfxx:v:21:y:2020:i:2:p:174-185. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/hbhf .

    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.