IDEAS home Printed from
   My bibliography  Save this article

Time, trading and algorithms in financial sector security


  • Grahame F. Thompson


This article examines the financial security issues raised by the rapid development of high-frequency trading (HFT). HFT involves automated algorithmic trading of financial instruments where the objective is to reduce the time scale between the initiation and execution of trades to microseconds (or even nanoseconds) so as to reap competitive advantage. After outlining the contours of a HFT world, the presentation goes on to discuss some of its important consequences and implications. Several matters are discussed in this context: market manipulation, hacking, index construction and violence. Of particular significance for the notion of financial security is the issue of time as embodied in algorithmic trading. In turn this raises concerns over the regulation and management of this new field of financial innovation and trading activity.

Suggested Citation

  • Grahame F. Thompson, 2017. "Time, trading and algorithms in financial sector security," New Political Economy, Taylor & Francis Journals, vol. 22(1), pages 1-11, January.
  • Handle: RePEc:taf:cnpexx:v:22:y:2017:i:1:p:1-11
    DOI: 10.1080/13563467.2016.1183116

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Christian Marazzi, 2010. "The Violence of Financial Capitalism," MIT Press Books, The MIT Press, edition 1, volume 1, number 1584350830, January.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Access and download statistics


    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:cnpexx:v:22:y:2017:i:1:p:1-11. 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: (Chris Longhurst). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.