IDEAS home Printed from https://ideas.repec.org/p/ecl/ohidic/2010-6.html
   My bibliography  Save this paper

Dynamic Dark Pool Trading Strategies in Limit Order Markets

Author

Listed:
  • Buti, Sabrina

    (University of Toronto)

  • Rindi, Barbara

    (Bocconi University)

  • Werner, Ingrid M.

    (Ohio State University)

Abstract

We model a dynamic limit order market with traders that submit orders either to a limit order book (LOB) or to a Dark Pool (DP). We show that there is a positive liquidity externality in the DP, that orders migrate from the LOB to the DP, but that overall trading volume increases when a DP is introduced. We also demonstrate that DP market share is higher when LOB depth is high, when LOB spreads are narrow, when there is more volatility, and when the tick size is larger. Further, while inside quoted depth in the LOB always decreases when a DP is introduced, quoted spreads can narrow for liquid stocks and widen for illiquid stocks. Finally, when .ash orders provide select traders with information about the state of the DP, we show that more orders migrate from the LOB to the DP.

Suggested Citation

  • Buti, Sabrina & Rindi, Barbara & Werner, Ingrid M., 2010. "Dynamic Dark Pool Trading Strategies in Limit Order Markets," Working Paper Series 2010-6, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    • Handle: RePEc:ecl:ohidic:2010-6
    as

    Download full text from publisher

    File URL: http://www.cob.ohio-state.edu/fin/dice/papers/2010/2010-6.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Shmuel Baruch, 2005. "Who Benefits from an Open Limit-Order Book?," The Journal of Business, University of Chicago Press, vol. 78(4), pages 1267-1306, July.
    2. Rudy De Winne & Catherine D'hondt, 2007. "Hide-and-Seek in the Market: Placing and Detecting Hidden Orders," Review of Finance, European Finance Association, vol. 11(4), pages 663-692.
    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. 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. Lena Boneva & Oliver Linton & Michael Vogt, 2016. "The Effect of Fragmentation in Trading on Market Quality in the UK Equity Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 192-213, January.
    3. Apergis, Nicholas & Voliotis, Dimitrios, 2015. "Spillover effects between lit and dark stock markets: Evidence from a panel of London Stock Exchange transactions," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 101-106.
    4. He, William Peng & Lepone, Andrew, 2014. "Determinants of liquidity and execution probability in exchange operated dark pool: Evidence from the Australian Securities Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 1-16.
    5. Lena Boneva (Körber) & Oliver Linton & Michael Vogt, 2013. "The effect of fragmentation in trading on market quality in the UK equity market," CeMMAP working papers 42/13, Institute for Fiscal Studies.
    6. He, Peng William & Jarnecic, Elvis & Liu, Yubo, 2015. "The determinants of alternative trading venue market share: Global evidence from the introduction of Chi-X," Journal of Financial Markets, Elsevier, vol. 22(C), pages 27-49.

    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. Kovaleva, Polina & Iori, Giulia, 2015. "The impact of reduced pre-trade transparency regimes on market quality," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 145-162.
    2. Stefan Frey & Patrik Sandås, 2017. "The Impact of Iceberg Orders in Limit Order Books," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 1-43, September.
    3. He, Yinghua & Nielsson, Ulf & Guo, Hong & Yang, Jiong, 2014. "Subscribing to transparency," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 189-206.
    4. Thierry Foucault & Sophie Moinas & Erik Theissen, 2007. "Does Anonymity Matter in Electronic Limit Order Markets?," The Review of Financial Studies, Society for Financial Studies, vol. 20(5), pages 1707-1747, 2007 28.
    5. Chan, Shu Hui & Huang, Yu Chuan & Lin, Sheng-Min, 2020. "Market transparency and closing price behavior on month-end days: Evidence from Taiwan," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    6. Pham, Thu Phuong & Westerholm, P. Joakim, 2013. "A survey of research into broker identity and limit order book," Working Papers 17212, University of Tasmania, Tasmanian School of Business and Economics, revised 16 Oct 2013.
    7. Frey, Stefan & Sandås, Patrik, 2009. "The impact of iceberg orders in limit order books," CFR Working Papers 09-06, University of Cologne, Centre for Financial Research (CFR).
    8. Hideaki Sakawa & Masato Ubukata, 2012. "Does Pre-trade Transparency Affect Market Quality in the Tokyo Stock Exchange?," Economics Bulletin, AccessEcon, vol. 32(3), pages 2103-2112.
    9. Héléna Beltran-Lopez & Pierre Giot & Joachim Grammig, 2009. "Commonalities in the order book," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 23(3), pages 209-242, September.
    10. De Winne, Rudy & Gresse, Carole & Platten, Isabelle, 2014. "Liquidity and risk sharing benefits from opening an ETF market with liquidity providers: Evidence from the CAC 40 index," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 31-43.
    11. Gu, Gao-Feng & Ren, Fei & Ni, Xiao-Hui & Chen, Wei & Zhou, Wei-Xing, 2010. "Empirical regularities of opening call auction in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(2), pages 278-286.
    12. 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, January-A.
    13. Attig, Najah & El Ghoul, Sadok, 2021. "Flying under the radar: The real effects of anonymous trading," Journal of Corporate Finance, Elsevier, vol. 71(C).
    14. Hans Degryse & Mark Van Achter & Gunther Wuyts, 2022. "Plumbing of Securities Markets: The Impact of Post-trade Fees on Trading and Welfare," Management Science, INFORMS, vol. 68(1), pages 635-653, January.
    15. Quanbiao Shang & Teresa Serra & Philip Garcia & Mindy Mallory, 2021. "Looking under the surface: An analysis of iceberg orders in the U.S. agricultural futures markets," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 679-699, July.
    16. Bessembinder, Hendrik & Panayides, Marios & Venkataraman, Kumar, 2009. "Hidden liquidity: An analysis of order exposure strategies in electronic stock markets," Journal of Financial Economics, Elsevier, vol. 94(3), pages 361-383, December.
    17. Jieying Hong & Sébastien Pouget, 2021. "Liquidity Formation and Preopening Periods in Financial Markets," Economica, London School of Economics and Political Science, vol. 88(351), pages 697-723, July.
    18. Sabrina Buti & Barbara Rindi, 2011. "Undisclosed Orders and Optimal Submission Strategies in a Dynamic Limit Order Market," Working Papers 389, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    19. Wang, Ming-Chang & Cheng, Lee-Young & Ko, Chien-Chuan & Chou, Pang-Ying, 2018. "Does public latency influence market quality? An analysis of pre-trade transparency at the Taiwan futures exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 227-240.
    20. Arzandeh, Mehdi & Frank, Julieta, 2017. "The Information Content of the Limit Order Book," 7th Annual Canadian Agri-Food Policy Conference, January 11-13, 2017, Ottawa, ON 253251, Canadian Agricultural Economics Society.

    More about this item

    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:ecl:ohidic:2010-6. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cdohsus.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.