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Dynamic Dark Pool Trading Strategies in Limit Order Markets

Author

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  • Sabrina Buti
  • Barbara Rindi
  • Ingrid M. Werner

Abstract

We model a dynamic financial market where traders 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 spread is narrow, when the tick size is large and when traders seek protection from price impact. 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 ones. We also show that traders' interaction with both LOB and DP generates interesting systematic patterns in order ?ow: di¤erently from Parlour (1998), the probability of a continuation is greater than that of a reversal only for liquid stocks. In addition, when depth decreases on one side of LOB, liquidity is drained from DP. When a DP is added to a LOB, total welfare as well as institutional traders' welfare increase but only for liquid stocks; retail traders' welfare instead always decreases. Finally, when flash orders provide select traders with information about the state of the DP, we show that more orders migrate from the LOB to the DP, and DP welfare effects are enhanced.

Suggested Citation

  • Sabrina Buti & Barbara Rindi & Ingrid M. Werner, 2010. "Dynamic Dark Pool Trading Strategies in Limit Order Markets," Working Papers 371, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  • Handle: RePEc:igi:igierp:371
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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. 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.
    3. 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.
    4. 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.

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