Welfare Analysis of Dark Pools

We investigate the role of a class of alternative market structures known as electronic crossing networks or "dark pools". Relative to traditional "lit" markets, dark pools offer investors the trade-off of reduced transaction costs in exchange for greater uncertainty of trade. Our paper studies the welfare implications of operating a dark pool alongside traditional lit markets. We study equilibria of a market with intrinsic traders and speculators, each endowed with heterogeneous fine-grained information, who endogenously choose between dark and lit venues. We establish that while dark pools attract relatively uninformed investors, the orders therein experience an implicit transaction cost in the form of adverse selection. Moreover, the informational segmentation created by a dark pool leads to greater transaction costs in lit markets. Taken together, we establish that there exist reasonable parameter regimes where the introduction of a dark pool decreases the overall welfare of market participants.

[1]  Dean Phillips Foster,et al.  The Benefits of Volume-Conditional Order-Crossing , 2007 .

[2]  Peter Kratz,et al.  Optimal liquidation in dark pools , 2013 .

[3]  A. Park,et al.  Dark Trading on Public Exchanges , 2012 .

[4]  Adam Diamant,et al.  Double-Sided Batch Queues with Abandonment: Modeling Crossing Networks , 2014, Oper. Res..

[5]  Dan Galai,et al.  Information Effects on the Bid‐Ask Spread , 1983 .

[6]  M. Nimalendran,et al.  Informational Linkages Between Dark and Lit Trading Venues , 2011 .

[7]  Benjamin Van Roy,et al.  Strategic Execution in the Presence of an Uninformed Arbitrageur , 2008, 0801.3001.

[8]  Nancy L. Stokey,et al.  Information, Trade, and Common Knowledge , 1982 .

[9]  Kuzman Ganchev,et al.  Censored exploration and the dark pool problem , 2009, UAI.

[10]  Alexander Schied,et al.  Price manipulation in a market impact model with dark pool , 2011, 1205.4008.

[11]  Dynamic Order Submission Strategies with Competition between a Dealer Market and a Crossing Network , 2009 .

[12]  Steven Tadelis Game theory : an introduction , 2013 .

[13]  Haim Mendelson,et al.  Crossing Networks and Dealer Markets: Competition and Performance , 2000 .

[14]  Yeneng Sun,et al.  Conditional exact law of large numbers and asymmetric information economies with aggregate uncertainty , 2014, 1410.1147.

[15]  Mao Ye,et al.  A Glimpse into the Dark: Price Formation, Transaction Cost and Market Share of the Crossing Network , 2011 .

[16]  Ingrid M. Werner,et al.  Dark Pool Trading Strategies, Market Quality and Welfare , 2017 .

[17]  A. Kyle Continuous Auctions and Insider Trading , 1985 .

[18]  Tālis J. Putniņš,et al.  Dark Trading and Price Discovery , 2015 .

[19]  Laura A. Tuttle Alternative Trading Systems: Description of ATS Trading in National Market System Stocks , 2013 .

[20]  Peter Kratz,et al.  PORTFOLIO LIQUIDATION IN DARK POOLS IN CONTINUOUS TIME , 2012, 1201.6130.

[21]  B. A. Ødegaard,et al.  To Cross or Not to Cross ? , 2000 .

[22]  M. K. Bhasin Do Dark Pools Harm Price Discovery , 2014 .

[23]  Paul R. Milgrom,et al.  Bid, ask and transaction prices in a specialist market with heterogeneously informed traders , 1985 .

[24]  J. Scheinkman,et al.  Competition Among Exchanges , 2000 .

[25]  Jutta A. Dönges,et al.  Crossing Network versus Dealer Market: Unique Equilibrium in the Allocation of Order Flow , 2013 .

[26]  H. Degryse,et al.  The Impact of Dark and Visible Fragmentation on Market Quality , 2011 .