IDEAS home Printed from https://ideas.repec.org/a/spr/infotm/v25y2024i2d10.1007_s10799-023-00413-y.html
   My bibliography  Save this article

Trading volume and open interest from options markets as measures of the effect of IT announcements

Author

Listed:
  • Dawei Zhang

    (Lehigh University)

  • Matthew Lyle

    (Emory University)

  • Barrie R. Nault

    (University of Calgary)

Abstract

We explore how using trading volume and open interest data on IT investment announcements from options markets provide improved information to investors relative to trading volume from stock markets. We first establish through investigating changes in trading volume and open interest in the option market, and changes in trading volume in the stock market, that IT announcements are informative to investors such that they act on the underlying securities. Second, we find that the option market captures such informativeness earlier than the stock market, and that the option market generates a greater response to information from IT announcements than the stock market. Third, the option market’s response allows us to distinguish investors’ response in the short and long terms: we find IT announcements mainly convey information about expected firm value in the short term, and less in the long term. Finally, we show that good-news IT announcements are more informative than bad-news and no-news announcements. Thus, for firms with options, using option market trading volume and open interest dominates stock market trading volume when examining the effects of IT announcements.

Suggested Citation

  • Dawei Zhang & Matthew Lyle & Barrie R. Nault, 2024. "Trading volume and open interest from options markets as measures of the effect of IT announcements," Information Technology and Management, Springer, vol. 25(2), pages 113-123, June.
  • Handle: RePEc:spr:infotm:v:25:y:2024:i:2:d:10.1007_s10799-023-00413-y
    DOI: 10.1007/s10799-023-00413-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10799-023-00413-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10799-023-00413-y?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.

    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:spr:infotm:v:25:y:2024:i:2:d:10.1007_s10799-023-00413-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.