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Procedural Fairness in Exchange Matching Systems

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  • Gil Hersch

    (Virginia Tech)

Abstract

The move from open outcry to electronic trading added another responsibility to futures exchanges—that of matching orders between buyers and sellers. Matching systems can affect the level and speed of price discovery, the distribution of revenue, as well as the level of price efficiency of a given market. Whether the matching system is procedurally fair is another important consideration. I argue that while FIFO (First In First Out) is a fair procedure in principle and is perceived as the default matching system, it is not a fair procedure in practice. Likewise, while pro rata is a fair procedure in principle, it is not so in practice. Nevertheless, both FIFO and pro rata are relics of an open outcry system. Instead, I propose an alternative approach to matching systems that builds on the strengths of electronic trading—the ability to randomize in real time. I introduce random selection for service (RSS) as a matching system that is procedurally fair both in principle and in practice.

Suggested Citation

  • Gil Hersch, 2023. "Procedural Fairness in Exchange Matching Systems," Journal of Business Ethics, Springer, vol. 188(2), pages 367-377, November.
  • Handle: RePEc:kap:jbuset:v:188:y:2023:i:2:d:10.1007_s10551-022-05315-7
    DOI: 10.1007/s10551-022-05315-7
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    References listed on IDEAS

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    1. Haynes, Richard & Onur, Esen, 2020. "Precedence rules in matching algorithms," Journal of Commodity Markets, Elsevier, vol. 19(C).
    2. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    3. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    4. Michael C. Jensen, 2010. "Value Maximization, Stakeholder Theory, and the Corporate Objective Function," Journal of Applied Corporate Finance, Morgan Stanley, vol. 22(1), pages 32-42, January.
    5. Wasserman, David, 1996. "Let them Eat Chances: Probability and Distributive Justice," Economics and Philosophy, Cambridge University Press, vol. 12(1), pages 29-49, April.
    6. Albert J. Menkveld, 2016. "The Economics of High-Frequency Trading: Taking Stock," Annual Review of Financial Economics, Annual Reviews, vol. 8(1), pages 1-24, October.
    7. Bruno Biais & Thierry Foucault, 2014. "HFT and Market Quality," Bankers, Markets & Investors, ESKA Publishing, issue 128, pages 5-19, January-F.
    8. Angelo Aspris & Sean Foley & Drew Harris & Peter O'Neill, 2015. "Time Pro‐rata Matching: Evidence of a Change in LIFFE STIR Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(6), pages 522-541, June.
    9. James Angel & Douglas McCabe, 2013. "Fairness in Financial Markets: The Case of High Frequency Trading," Journal of Business Ethics, Springer, vol. 112(4), pages 585-595, February.
    10. 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.
    11. Levy, Jonathan, 2012. "Freaks of Fortune: The Emerging World of Capitalism and Risk in America," Economics Books, Harvard University Press, number 9780674047488, Spring.
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