Dark Pool Reference Price Latency Arbitrage∗ Matteo Aquilina,y Sean Foley,z Peter O'Neillx and Thomas Ruf{ May 10, 2017 Abstract Using proprietary order book data with participant-level message traffic and matching engine time stamps, we investigate the nature of stale reference pricing in dark pools. We document a sizeable proportion of stale trading which imposes large adverse selection on the passive side in dark pools. We are the first to document that HFTs almost never provide liquidity and instead frequently take liquidity in the dark, in particular in order to take advantage of stale quotes in the dark. Finally, we examine several market design inter- ventions to mitigate stale trades, showing that only mechanisms to protect passive dark liquidity, such as random uncrossings, are effective. Keywords: high-frequency trading, dark pools, latency arbitrage, reference prices ∗We would like to thank Michael Aitken, Peter Andrews, Hao Ming Chen, Brian Eyles, Simon Hargreaves, Edwin Schooling Latter, Ted Macdonald, Albert Menkveld, Richard Payne, Talis Put- nins, Jia Shao, Patrick Spens, Felix Suntheim, Martin Taylor, Carla Ysusi and Bart Z. Yueshen. We would also like to thank our colleagues at the FCA. We are also grateful to participants of the FCA/LSE conference on financial regulation for their comments. Any errors and omissions are our own. This article is an extension of the FCA Occasional Paper 21 'Asymmetries in Dark Pool Reference Prices.' yFinancial Conduct Authority (UK). zUniversity of Sydney. xFinancial Conduct Authority (UK) and University of New South Wales. e-mail:
[email protected] Peter O'Neill thanks the Capital Markets Cooperative Research Cen- ter for funding a period as a visiting researcher at the FCA during this study.