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Dark Pool Trading Strategies

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  • Sabrina Buti
  • Barbara Rindi
  • Ingrid M. Werner

Abstract

We model a financial market where traders have access both to a fully transparent limit order book (LOB) and to an opaque Dark Pool (DP). When a DP is introduced to a LOB market,orders migrate to the DP from the LOB, but overall trading volume increases. Moreover, inside quoted depth in the LOB decreases, but quoted spreads tend to narrow in deep books and widen in shallow ones. DP market share is higher when LOB depth is high, when LOB spread is narrow, when the tick size is large and when traders seek protection from price impact. When depth decreases on one side of the LOB, liquidity is drained from the DP. When Flash orders provide select traders with information about the state of the DP, more orders migrate from the LOB to the DP but overall market quality improves.

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  • Sabrina Buti & Barbara Rindi & Ingrid M. Werner, 2011. "Dark Pool Trading Strategies," Working Papers 421, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    • Handle: RePEc:igi:igierp:421
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    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. Michael J Fleming & Giang Nguyen, 2019. "Price and Size Discovery in Financial Markets: Evidence from the U.S. Treasury Securities Market," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 9(2), pages 256-295.
    3. Buti, Sabrina & Rindi, Barbara, 2013. "Undisclosed orders and optimal submission strategies in a limit order market," Journal of Financial Economics, Elsevier, vol. 109(3), pages 797-812.
    4. Linlin Ye, 2016. "Understanding the Impacts of Dark Pools on Price Discovery," Papers 1612.08486, arXiv.org.
    5. 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.
    6. Alexander Eisele & Tamara Nefedova & Gianpaolo Parise, 2015. "Are Star Funds Really Shining? Cross-trading And Performance Shifting In Mutual Fund Families," Post-Print hal-01458357, HAL.
    7. Degryse, H.A. & de Jong, F.C.J.M. & van Kervel, V.L., 2011. "The Impact of Dark and Visible Fragmentation on Market Quality (Replaces CentER Discussion Paper 2011-051)," Other publications TiSEM f9895511-3b4b-4db5-bf34-1, Tilburg University, School of Economics and Management.
    8. Philipp Afèche & Adam Diamant & Joseph Milner, 2014. "Double-Sided Batch Queues with Abandonment: Modeling Crossing Networks," Operations Research, INFORMS, vol. 62(5), pages 1179-1201, October.
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    11. Robert P. Bartlett, III & Justin McCrary, 2015. "Dark Trading at the Midpoint: Pricing Rules, Order Flow, and High Frequency Liquidity Provision," NBER Working Papers 21286, National Bureau of Economic Research, Inc.
    12. Alex Boulatov & Thomas J. George, 2013. "Hidden and Displayed Liquidity in Securities Markets with Informed Liquidity Providers," The Review of Financial Studies, Society for Financial Studies, vol. 26(8), pages 2096-2137.
    13. Nimalendran, Mahendrarajah & Ray, Sugata, 2014. "Informational linkages between dark and lit trading venues," Journal of Financial Markets, Elsevier, vol. 17(C), pages 230-261.
    14. Haoxiang Zhu, 2014. "Do Dark Pools Harm Price Discovery?," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 747-789.
    15. M. Alessandra Crisafi & Andrea Macrina, 2014. "Simultaneous Trading in 'Lit' and Dark Pools," Papers 1405.2023, arXiv.org, revised Jan 2016.

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