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To snipe or not to snipe, that is the question! Transitions in sniping behaviour among competing algorithmic traders

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  • Somayeh Kokabisaghi
  • Eric J Pauwels
  • Andre B Dorsman

Abstract

In this paper we extend the investigation into the transition from sure to probabilistic sniping as introduced in Menkveld and Zoican \cite{mz2017}. In that paper, the authors introduce a stylized version of a competitive game in which high frequency traders (HFTs) interact with each other and liquidity traders. The authors then show that risk aversion plays an important role in the transition from sure to mixed (or probabilistic) sniping. In this paper, we re-interpret and extend these conclusions in the context of repeated games and highlight some differences in results. In particular, we identify situations in which probabilistic sniping is genuinely profitable that are qualitatively different from the ones obtained in \cite{mz2017}. It turns out that beyond a specific risk aversion threshold the game resembles the well-known prisoner's dilemma, in that probabilistic sniping becomes a way to cooperate among the HFTs that leaves all the participants better off. In order to turn this into a viable strategy for the repeated game, we show how compliance can be monitored through the use of sequential statistical testing. Keywords: algorithmic trading, bandits, high-frequency exchange, Nash equilibrium, repeated games, sniping, subgame-perfect equilibrium, Sequential probability ratio, transition

Suggested Citation

  • Somayeh Kokabisaghi & Eric J Pauwels & Andre B Dorsman, 2019. "To snipe or not to snipe, that is the question! Transitions in sniping behaviour among competing algorithmic traders," Papers 1912.04012, arXiv.org, revised Sep 2020.
    • Handle: RePEc:arx:papers:1912.04012
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    References listed on IDEAS

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    1. Drew Fudenberg & David G. Rand & Anna Dreber, 2012. "Slow to Anger and Fast to Forgive: Cooperation in an Uncertain World," American Economic Review, American Economic Association, vol. 102(2), pages 720-749, April.
    2. Cason, Timothy N. & Mui, Vai-Lam, 2019. "Individual versus group choices of repeated game strategies: A strategy method approach," Games and Economic Behavior, Elsevier, vol. 114(C), pages 128-145.
    3. Albert J. Menkveld & Marius A. Zoican, 2017. "Need for Speed? Exchange Latency and Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1188-1228.
    4. Tristan Tomala, 2011. "Fault Reporting in Partially Known Networks and Folk Theorems," Operations Research, INFORMS, vol. 59(3), pages 754-763, June.
    5. Laclau, Marie, 2012. "A folk theorem for repeated games played on a network," Games and Economic Behavior, Elsevier, vol. 76(2), pages 711-737.
    6. Yaroslav Rosokha & Julian Romero, 2017. "Constructing Stategies in the Indefinitely Repeated Prisoner's Dilemma Game," Purdue University Economics Working Papers 1298, Purdue University, Department of Economics.
    7. Robert J. Kauffman & Yuzhou Hu & Dan Ma, 2015. "Will high-frequency trading practices transform the financial markets in the Asia Pacific Region?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-27, December.
    8. Yves Breitmoser, 2015. "Cooperation, but No Reciprocity: Individual Strategies in the Repeated Prisoner's Dilemma," American Economic Review, American Economic Association, vol. 105(9), pages 2882-2910, September.
    9. Eric Budish & Peter Cramton & John Shim, 2015. "Editor's Choice The High-Frequency Trading Arms Race: Frequent Batch Auctions as a Market Design Response," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1547-1621.
    10. Delaney, Laura, 2018. "Investment in high-frequency trading technology: A real options approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 375-385.
    11. Bruce Ian Carlin & Miguel Sousa Lobo & S. Viswanathan, 2007. "Episodic Liquidity Crises: Cooperative and Predatory Trading," Journal of Finance, American Finance Association, vol. 62(5), pages 2235-2274, October.
    12. John H. Kagel & Peter McGee, 2016. "Team versus Individual Play in Finitely Repeated Prisoner Dilemma Games," American Economic Journal: Microeconomics, American Economic Association, vol. 8(2), pages 253-276, May.
    13. Romero, Julian & Rosokha, Yaroslav, 2018. "Constructing strategies in the indefinitely repeated prisoner’s dilemma game," European Economic Review, Elsevier, vol. 104(C), pages 185-219.
    14. Pinto, Brian, 1986. "Repeated games and the reciprocal dumping model of trade," Journal of International Economics, Elsevier, vol. 20(3-4), pages 357-366, May.
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