IDEAS home Printed from https://ideas.repec.org/p/zbw/cfrwps/0906.html
   My bibliography  Save this paper

The impact of iceberg orders in limit order books

Author

Listed:
  • Frey, Stefan
  • Sandås, Patrik

Abstract

We examine the impact of iceberg orders on the price and order flow dynamics in limit order books. Iceberg orders allow traders to simultaneously hide a large portion of their order size and signal their interest in trading to the market. We show that when the market learns about iceberg orders they tend to strongly attract market orders consistent with iceberg orders facilitating the search for latent liquidity. The greater the fraction of an iceberg order that is executed the smaller its price impact consistent with liquidity rather than informed trading. The presence of iceberg orders is associated with increased trading consistent with a positive liquidity externality, but the reduced order book transparency associated with iceberg orders also creates an adverse selection cost for limit orders that may partly offset any gains.

Suggested Citation

  • 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).
  • Handle: RePEc:zbw:cfrwps:0906
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/41392/1/605038759.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Moinas, Sophie, 2010. "Hidden Limit Orders and Liquidity in Order Driven Markets," IDEI Working Papers 600, Institut d'Économie Industrielle (IDEI), Toulouse.
    2. Bernhardt, Dan & Scoones, David, 1994. "A Note on Sequential Auctions," American Economic Review, American Economic Association, vol. 84(3), pages 653-657, June.
    3. Angel Pardo & Roberto Pascual, 2012. "On the hidden side of liquidity," The European Journal of Finance, Taylor & Francis Journals, vol. 18(10), pages 949-967, November.
    4. Glosten, Lawrence R, 1994. " Is the Electronic Open Limit Order Book Inevitable?," Journal of Finance, American Finance Association, vol. 49(4), pages 1127-1161, September.
    5. Michael Fleming & Bruce Mizrach, 2008. "The Microstructure of a U.S. Treasury ECN: The Brokertec Platform," Departmental Working Papers 200803, Rutgers University, Department of Economics.
    6. Gur Huberman & Werner Stanzl, 2005. "Optimal Liquidity Trading," Review of Finance, Springer, vol. 9(2), pages 165-200, June.
    7. 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.
    8. Sandas, Patrik, 2001. "Adverse Selection and Competitive Market Making: Empirical Evidence from a Limit Order Market," Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 705-734.
    9. Degryse, Hans, 1999. "The total cost of trading Belgian shares: Brussels versus London," Journal of Banking & Finance, Elsevier, vol. 23(9), pages 1331-1355, September.
    10. Stefan Frey & Joachim Grammig, 2006. "Liquidity supply and adverse selection in a pure limit order book market," Empirical Economics, Springer, vol. 30(4), pages 1007-1033, January.
    11. 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.
    12. Esser, Angelika & Monch, Burkart, 2007. "The navigation of an iceberg: The optimal use of hidden orders," Finance Research Letters, Elsevier, vol. 4(2), pages 68-81, June.
    13. Bertsimas, Dimitris & Lo, Andrew W., 1998. "Optimal control of execution costs," Journal of Financial Markets, Elsevier, vol. 1(1), pages 1-50, April.
    14. Aitken, Michael J. & Berkman, Henk & Mak, Derek, 2001. "The use of undisclosed limit orders on the Australian Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1589-1603, August.
    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. repec:cty:dpaper:8121 is not listed on IDEAS
    2. Cebiroğlu, Gökhan & Horst, Ulrich, 2015. "Optimal order display in limit order markets with liquidity competition," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 81-100.
    3. Cebiroglu, Gökhan & Hautsch, Nikolaus & Horst, Ulrich, 2014. "Order exposure and liquidity coordination: Does hidden liquidity harm price efficiency?," CFS Working Paper Series 468, Center for Financial Studies (CFS).
    4. Samuel N. Cohen & Lukasz Szpruch, 2011. "A limit order book model for latency arbitrage," Papers 1110.4811, arXiv.org.
    5. 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.
    6. Christian Weiß, 2015. "A Poisson INAR(1) model with serially dependent innovations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 78(7), pages 829-851, October.
    7. Robert Jung & A. Tremayne, 2011. "Useful models for time series of counts or simply wrong ones?," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(1), pages 59-91, March.
    8. Nikolaus Hautsch & Ruihong Huang, 2012. "On the Dark Side of the Market: Identifying and Analyzing Hidden Order Placements," SFB 649 Discussion Papers SFB649DP2012-014, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

    More about this item

    Keywords

    Hidden Liquidity; Iceberg Orders; Limit Order Markets; Transparency;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:zbw:cfrwps:0906. 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: (ZBW - German National Library of Economics). General contact details of provider: http://edirc.repec.org/data/cfkoede.html .

    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.