IDEAS home Printed from https://ideas.repec.org/a/wly/jfutmk/v28y2008i10p911-934.html
   My bibliography  Save this article

The specification of GARCH models with stochastic covariates

Author

Listed:
  • Jeff Fleming
  • Chris Kirby
  • Barbara Ostdiek

Abstract

A number of studies investigate whether various stochastic variables explain changes in return volatility by specifying the variables as covariates in a GARCH(1, 1) or EGARCH(1, 1) model. The authors show that these models impose an implicit constraint that can obscure the true role of the covariates in the analysis. They illustrate the problem by reconsidering the role of contemporaneous trading volume in explaining ARCH effects in daily stock returns. Once the constraint imposed in earlier research is relaxed, it is found that specifying volume as a covariate does little to diminish the importance of lagged squared returns in capturing the dynamics of volatility. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:911–934, 2008

Suggested Citation

  • Jeff Fleming & Chris Kirby & Barbara Ostdiek, 2008. "The specification of GARCH models with stochastic covariates," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(10), pages 911-934, October.
  • Handle: RePEc:wly:jfutmk:v:28:y:2008:i:10:p:911-934
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: no

    Citations

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


    Cited by:

    1. Heejoon Han & Dennis Kristensen, 2014. "Asymptotic Theory for the QMLE in GARCH-X Models With Stationary and Nonstationary Covariates," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 416-429, July.
    2. Sabbaghi, Omid, 2011. "Asymmetric volatility and trading volume: The G5 evidence," Global Finance Journal, Elsevier, vol. 22(2), pages 169-181.

    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:wly:jfutmk:v:28:y:2008:i:10:p:911-934. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley Content Delivery). General contact details of provider: http://www.interscience.wiley.com/jpages/0270-7314/ .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.