IDEAS home Printed from https://ideas.repec.org/a/bla/finrev/v49y2014i2p245-270.html
   My bibliography  Save this article

Algorithmic Trading, Liquidity, and Price Discovery: An Intraday Analysis of the SPI 200 Futures

Author

Listed:
  • Michael Goldstein
  • Tina Viljoen
  • P. Joakim Westerholm
  • Hui Zheng

Abstract

We study the intraday price impact of algorithmic trading (AT) on futures markets. We find that AT exhibits a strong reverse U-shape intraday pattern, and greater AT activity is related to lower effective spreads, higher realized spreads and lower adverse selection risk, which suggests that algorithmic traders strategically enter the market when transaction costs and information asymmetry are lower. AT is associated with an increase in transaction costs in the subsequent intraday period mainly through an increase in the adverse selection risk, and is positively related to both public and private information. Our results strongly suggest that algorithmic traders are informed and contribute to liquidity and price discovery on the futures markets.

Suggested Citation

  • Michael Goldstein & Tina Viljoen & P. Joakim Westerholm & Hui Zheng, 2014. "Algorithmic Trading, Liquidity, and Price Discovery: An Intraday Analysis of the SPI 200 Futures," The Financial Review, Eastern Finance Association, vol. 49(2), pages 245-270, May.
    • Handle: RePEc:bla:finrev:v:49:y:2014:i:2:p:245-270
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/fire.12034
    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.

    Citations

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


    Cited by:

    1. Jurich, Stephen N. & Mishra, Ajay Kumar & Parikh, Bhavik, 2020. "Indecisive algos: Do limit order revisions increase market load?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    2. Phiri, Andrew, 2017. "Threshold convergence between the federal fund rate and South African equity returns around the colocation period," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 13(1).
    3. Zhou, Hao & Kalev, Petko S. & Frino, Alex, 2020. "Algorithmic trading in turbulent markets," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    4. Qixuan Luo & Yu Shi & Xuan Zhou & Handong Li, 2021. "Research on the Effects of Institutional Liquidation Strategies on the Market Based on Multi-agent Model," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1025-1049, December.
    5. Hatch, Brian C. & Johnson, Shane A. & Wang, Qin Emma & Zhang, Jun, 2021. "Algorithmic trading and firm value," Journal of Banking & Finance, Elsevier, vol. 125(C).
    6. Murray, Hamish & Pham, Thu Phuong & Singh, Harminder, 2016. "Latency reduction and market quality: The case of the Australian Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 257-265.
    7. David Saltiel & Eric Benhamou, 2018. "Trade Selection with Supervised Learning and OCA," Papers 1812.04486, arXiv.org.
    8. Manahov, Viktor, 2016. "A note on the relationship between high-frequency trading and latency arbitrage," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 281-296.

    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:49:y:2014:i:2:p:245-270. 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.