IDEAS home Printed from https://ideas.repec.org/a/eee/jimfin/v12y1993i6p607-631.html
   My bibliography  Save this article

A taxonomy of automated trade execution systems

Author

Listed:
  • Domowitz, Ian

Abstract

A taxonomy of existing and planned automated trade execution systems in financial markets is provided. Over 50 automated market structures in 16 countries are analyzed. The classification scheme is organized around the principle that such markets consist of an algorithm that performs a trade matching function, together with information display and transmission mechanisms. Automated market structures are classified by ordered sets of trade execution priority rules, trade matching protocols and associated degree of automation of price discovery, and transparency, to include informational asymmetries between classes of market participants. Systematic differences in systems across types of financial instruments, geographical market centers, and over time are analyzed.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Domowitz, Ian, 1993. "A taxonomy of automated trade execution systems," Journal of International Money and Finance, Elsevier, vol. 12(6), pages 607-631, December.
  • Handle: RePEc:eee:jimfin:v:12:y:1993:i:6:p:607-631
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0261-5606(93)90028-A
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Harris, L., 1990. "Liquidity , Trading Rules and Electronic Trading Systems ," Papers 91-8, Southern California - School of Business Administration.
    2. Mendelson, Haim, 1982. "Market Behavior in a Clearing House," Econometrica, Econometric Society, vol. 50(6), pages 1505-1524, November.
    3. Domowitz, Ian & Wang, Jianxin, 1994. "Auctions as algorithms : Computerized trade execution and price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 29-60, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rosita P. Chang & Shuh-Tzy Hsu & Nai-Kuan Huang & S. Ghon Rhee, 1999. "The Effects of Trading Methods on Volatility and Liquidity: Evidence from the Taiwan Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1-2), pages 137-170.
    2. Rosita P. Chang & Shuh‐Tzy Hsu & Nai‐Kuan Huang & S. Ghon Rhee, 1999. "The Effects of Trading Methods on Volatility and Liquidity: Evidence from the Taiwan Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1‐2), pages 137-170, January.
    3. Coppejans, Mark & Domowitz, Ian, 1997. "Noise In the Price Discovery Process: A Comparison of Periodicand Continuous Auctions," Working Papers 97-04, Duke University, Department of Economics.
    4. Christian Gouriéroux & Gaëlle Le Fol, 1998. "Effet des modes de négociation sur les échanges," Revue Économique, Programme National Persée, vol. 49(3), pages 795-808.
    5. Ian Domowitz, 1993. "Equally open and competitive: Regulatory approval of automated trade execution in the futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(1), pages 93-113, February.
    6. Anatoliy Swishchuk & Nelson Vadori, 2016. "A Semi-Markovian Modeling of Limit Order Markets," Papers 1601.01710, arXiv.org.
    7. Mike, Szabolcs & Farmer, J. Doyne, 2008. "An empirical behavioral model of liquidity and volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 200-234, January.
    8. Shmuel Hauser & Azriel Levy & Uzi Yaari, 2001. "Trading frequency and the efficiency of price discovery in a non-dealer market," The European Journal of Finance, Taylor & Francis Journals, vol. 7(3), pages 187-197.
    9. Anton Bovier & Jiri Cerny & Ostap Hryniv, 2004. "The Opinion Game: Stock price evolution from microscopic market modelling," Papers cond-mat/0401422, arXiv.org.
    10. Gourieroux, Christian & Le Fol, Gaëlle, 1997. "Modes de négociation et caractéristiques de marché," CEPREMAP Working Papers (Couverture Orange) 9714, CEPREMAP.
    11. Ioane Muni Toke, 2015. "Exact and asymptotic solutions of the call auction problem," Post-Print hal-01061857, HAL.
    12. Ioane Muni Toke, 2014. "Exact and asymptotic solutions of the call auction problem," Papers 1407.4512, arXiv.org, revised Nov 2014.
    13. Michael J. Barclay & Terrence Hendershott & D. Timothy McCormick, 2003. "Competition among Trading Venues: Information and Trading on Electronic Communications Networks," Journal of Finance, American Finance Association, vol. 58(6), pages 2637-2666, December.
    14. J. Doyne Farmer & John Geanakoplos, 2008. "The virtues and vices of equilibrium and the future of financial economics," Papers 0803.2996, arXiv.org.
    15. Hugh Luckock, 2003. "A steady-state model of the continuous double auction," Quantitative Finance, Taylor & Francis Journals, vol. 3(5), pages 385-404.
    16. J. Doyne Farmer & Paolo Patelli & Ilija I. Zovko, 2003. "The Predictive Power of Zero Intelligence in Financial Markets," Papers cond-mat/0309233, arXiv.org, revised Feb 2004.
    17. Ioane Muni Toke, 2014. "Exact and asymptotic solutions of the call auction problem," Working Papers hal-01061857, HAL.
    18. Shmuel Hauser & Azriel Levy, 1998. "Efficiency of Price Discovery in Thinly Traded Stocks: Evidence from Dual Listings in Tel Aviv and the OTC," Multinational Finance Journal, Multinational Finance Journal, vol. 2(2), pages 133-149, June.
    19. Jean-Philippe Bouchaud & J. Doyne Farmer & Fabrizio Lillo, 2008. "How markets slowly digest changes in supply and demand," Papers 0809.0822, arXiv.org.
    20. Szabolcs Mike & J. Doyne Farmer, 2005. "An empirical behavioral model of price formation," Papers physics/0509194, arXiv.org, revised Oct 2005.

    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:eee:jimfin:v:12:y:1993:i:6:p:607-631. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30443 .

    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.