IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/39855.html
   My bibliography  Save this paper

A dynamic limit order market with fast and slow traders

Author

Listed:
  • Hoffmann, Peter

Abstract

We study a dynamic limit order market where agents may invest into a trading technology that grants them a speed advantage over others. Being fast is valuable because it allows limit orders to be revised quickly in the light of new information and therefore reduces the risk of being picked off. Even though this can generate more trading, the equilibrium level of investment is excessive and always generates a welfare loss because fast traders exert negative externalities on slow agents and are able to extract any surplus. If the diffusion of trading technology additionally leads to a more efficient trading process, this result may reverse completely. For sufficiently large efficiency gains, fast traders exert positive externalities on slow market participants and their presence leads to an increase in social welfare, albeit the equilibrium level of investment is below the social optimum. Our results imply that the marginal impact of investments related to algorithmic and high-frequency trading on social welfare crucially depends on the pre-investment level of market efficiency.

Suggested Citation

  • Hoffmann, Peter, 2012. "A dynamic limit order market with fast and slow traders," MPRA Paper 39855, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:39855
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/39855/1/MPRA_paper_39855.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/52570/1/MPRA_paper_52570.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johannes A. Skjeltorp & Elvira Sojli & Wing Wah Tham, 2011. "Sunshine trading: Flashes of trading intent at the NASDAQ," Working Paper 2011/17, Norges Bank.
    2. Foucault, Thierry, 1999. "Order flow composition and trading costs in a dynamic limit order market1," Journal of Financial Markets, Elsevier, vol. 2(2), pages 99-134, May.
    3. Thierry Foucault & Ailsa Röell & Patrik Sandås, 2003. "Market Making with Costly Monitoring: An Analysis of the SOES Controversy," The Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 345-384.
    4. Copeland, Thomas E & Galai, Dan, 1983. "Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-1469, December.
    5. Jean-Edouard Colliard & Thierry Foucault, 2012. "Trading Fees and Efficiency in Limit Order Markets," The Review of Financial Studies, Society for Financial Studies, vol. 25(11), pages 3389-3421.
    6. repec:oup:rfinst:v:25:y::i:11:p:3389-3421 is not listed on IDEAS
    7. Jean-Edouard Colliard & Thierry Foucault, 2012. "Trading Fees and Efficiency in Limit Order Markets," Review of Financial Studies, Society for Financial Studies, vol. 25(11), pages 3389-3421.
    8. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    9. Thierry Foucault, 2012. "Algorithmic trading: issues and preliminary evidence," Post-Print hal-00711389, HAL.
    10. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    11. Goettler, Ronald L. & Parlour, Christine A. & Rajan, Uday, 2009. "Informed traders and limit order markets," Journal of Financial Economics, Elsevier, vol. 93(1), pages 67-87, July.
    12. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    13. Garvey, Ryan & Wu, Fei, 2010. "Speed, distance, and electronic trading: New evidence on why location matters," Journal of Financial Markets, Elsevier, vol. 13(4), pages 367-396, November.
    14. Álvaro Cartea & José Penalva, 2012. "Where is the Value in High Frequency Trading?," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-46.
    15. Liu, Wai-Man, 2009. "Monitoring and limit order submission risks," Journal of Financial Markets, Elsevier, vol. 12(1), pages 107-141, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Nidhi Aggarwal & Susan Thomas, 2014. "The causal impact of algorithmic trading on market quality," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2014-023, Indira Gandhi Institute of Development Research, Mumbai, India.
    2. van Kervel, V.L., 2013. "Competition between stock exchanges and optimal trading," Other publications TiSEM 5c608a0f-527d-441d-a910-e, Tilburg University, School of Economics and Management.
    3. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    4. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2015.

    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. Hoffmann, Peter, 2012. "A dynamic limit order market with fast and slow traders," MPRA Paper 44621, University Library of Munich, Germany, revised Jan 2013.
    2. Hoffmann, Peter, 2014. "A dynamic limit order market with fast and slow traders," Journal of Financial Economics, Elsevier, vol. 113(1), pages 156-169.
    3. Hoffmann, Peter, 2013. "A dynamic limit order market with fast and slow traders," Working Paper Series 1526, European Central Bank.
    4. 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.
    5. Zhou, Hao & Kalev, Petko S., 2019. "Algorithmic and high frequency trading in Asia-Pacific, now and the future," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 186-207.
    6. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2015.
    7. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    8. Thierry Foucault & Roman Kozhan & Wing Wah Tham, 2017. "Toxic Arbitrage," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1053-1094.
    9. Brolley, Michael & Malinova, Katya, 2021. "Informed liquidity provision in a limit order market," Journal of Financial Markets, Elsevier, vol. 52(C).
    10. Markus Baldauf & Joshua Mollner, 2015. "Trading in Fragmented Markets," Discussion Papers 15-018, Stanford Institute for Economic Policy Research.
    11. Pascual, Roberto & Pascual-Fuster, Bartolomé, 2014. "The relative contribution of ask and bid quotes to price discovery," Journal of Financial Markets, Elsevier, vol. 20(C), pages 129-150.
    12. Markus Baldauf & Joshua Mollner, 2020. "High‐Frequency Trading and Market Performance," Journal of Finance, American Finance Association, vol. 75(3), pages 1495-1526, June.
    13. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    14. Baldauf, Markus & Mollner, Joshua, 2022. "Fast traders make a quick buck: The role of speed in liquidity provision," Journal of Financial Markets, Elsevier, vol. 58(C).
    15. Marios Panayides & Barbara Rindi & Ingrid M.Werner, 2017. "Trading Fees and Intermarket Competition," BAFFI CAREFIN Working Papers 1751, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    16. Erdinc Akyildirim & Shaen Corbet & Guzhan Gulay & Duc Khuong Nguyen & Ahmet Sensoy, 2019. "Order Flow Persistence in Equity Spot and Futures Markets: Evidence from a Dynamic Emerging Market," Working Papers 2019-011, Department of Research, Ipag Business School.
    17. Ya‐Kai Chang & Robin K. Chou, 2022. "Algorithmic trading and market quality: Evidence from the Taiwan index futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1837-1855, October.
    18. Fong, Kingsley Y.L. & Liu, Wai-Man, 2010. "Limit order revisions," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1873-1885, August.
    19. Clapham, Benjamin & Gomber, Peter & Lausen, Jens & Panz, Sven, 2021. "Liquidity provider incentives in fragmented securities markets," Journal of Empirical Finance, Elsevier, vol. 60(C), pages 16-38.
    20. Marios Panayides & Barbara Rindi & Ingrid M. Werner, 2017. "Trading Fees and Intermarket Competition," Working Papers 595, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.

    More about this item

    Keywords

    Algorithmic Trading; Limit Order Market; Welfare; Investment;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • G19 - Financial Economics - - General Financial Markets - - - Other
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:39855. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.