IDEAS home Printed from https://ideas.repec.org/a/bla/finrev/v45y2010i3p761-783.html
   My bibliography  Save this article

Price Movers on the Stock Exchange of Thailand: Evidence from a Fully Automated Order‐Driven Market

Author

Listed:
  • Charlie Charoenwong
  • David K. Ding
  • Nattawut Jenwittayaroje

Abstract

This study examines which trade sizes move stock prices on the Stock Exchange of Thailand (SET), a pure limit order market, over two distinct market conditions of bull and bear. Using intraday data, the study finds that large‐sized trades (i.e., those larger than the 75th percentile) account for a disproportionately large impact on changes in traded and quoted prices. The finding remains even after it has been subjected to a battery of robustness checks. In contrast, the results of studies conducted in the United States show that informed traders employ trade sizes falling between the 40th and 95th percentiles (Barclay and Warner, 1993; Chakravarty, 2001). Our results support the hypothesis that informed traders in a pure limit order market, such as the SET, where there are no market makers, also use larger‐size trades than those employed by informed traders in the United States.

Suggested Citation

  • Charlie Charoenwong & David K. Ding & Nattawut Jenwittayaroje, 2010. "Price Movers on the Stock Exchange of Thailand: Evidence from a Fully Automated Order‐Driven Market," The Financial Review, Eastern Finance Association, vol. 45(3), pages 761-783, August.
  • Handle: RePEc:bla:finrev:v:45:y:2010:i:3:p:761-783
    DOI: 10.1111/j.1540-6288.2010.00270.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1540-6288.2010.00270.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1540-6288.2010.00270.x?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
    ---><---

    Citations

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


    Cited by:

    1. Jan Hanousek & František Kopøiva, 2011. "Detecting Information-Driven Trading in a Dealers Market," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(3), pages 204-229, July.
    2. Brzeszczyński, Janusz & Bohl, Martin T. & Serwa, Dobromił, 2019. "Pension funds, large capital inflows and stock returns in a thin market," Journal of Pension Economics and Finance, Cambridge University Press, vol. 18(3), pages 347-387, July.

    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:finrev:v:45:y:2010:i:3:p:761-783. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/efaaaea.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.