IDEAS home Printed from https://ideas.repec.org/a/taf/applec/45y2013i2p225-238.html
   My bibliography  Save this article

Measuring and testing the long-term impact of terrorist attacks on the US futures market

Author

Listed:
  • Heng-Chih Chou
  • Rim Zaabar
  • David Wang

Abstract

This article investigates the long-term impact of the 11 September 2001 terrorist attacks on the maturity, volume and open interest effects for the S&P 500 index futures contracts. Adopting Chou (2005a, b)'s range-based volatility models, this article provides a number of interesting results. For the maturity effect, we find evidence for a very weak presence in the pre 9/11 period and no presence in the post 9/11 period, indicating that the maturity effect vanishes completely following the event of 9/11. Despite a strong presence of the volume effect in both periods, we detect a relative decrease in the presence during the post 9/11 period. The open interest effect shows a very weak presence during the pre 9/11 period and a strong presence during the post 9/11 period, indicating a stronger open interest effect following the event of 9/11. Furthermore, we show that there is a bi-directional causality relationship between futures volatility and trading volume during the pre 9/11 period, and that the causality relationship between the two variables becomes unidirectional during the post 9/11 period.

Suggested Citation

  • Heng-Chih Chou & Rim Zaabar & David Wang, 2013. "Measuring and testing the long-term impact of terrorist attacks on the US futures market," Applied Economics, Taylor & Francis Journals, vol. 45(2), pages 225-238, January.
  • Handle: RePEc:taf:applec:45:y:2013:i:2:p:225-238
    DOI: 10.1080/00036846.2011.597728
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2011.597728
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00036846.2011.597728?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. Ng, Kok Haur & Peiris, Shelton & Chan, Jennifer So-kuen & Allen, David & Ng, Kooi Huat, 2017. "Efficient modelling and forecasting with range based volatility models and its application," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 448-460.

    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:applec:45:y:2013:i:2:p:225-238. 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/RAEC20 .

    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.