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Do speed bumps curb low-latency investment? Evidence from a laboratory market

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  • Khapko, Mariana
  • Zoican, Marius

Abstract

Exchanges implement intentional trade delays to limit the harmful impact of low-latency trading. Do such “speed bumps” curb investment in fast trading technology? Data are scarce since trading technologies are proprietary. We build an experimental trading platform where participants face speed bumps and can invest in fast trading technology. We find that asymmetric speed bumps, on average, reduce investment in speed by only 20%. Increasing the magnitude of the speed bump by one standard deviation further reduces low-latency investment by 8.33%. Finally, introducing a symmetric speed bump leads to the same investment level as no speed bump at all.

Suggested Citation

  • Khapko, Mariana & Zoican, Marius, 2021. "Do speed bumps curb low-latency investment? Evidence from a laboratory market," Journal of Financial Markets, Elsevier, vol. 55(C).
  • Handle: RePEc:eee:finmar:v:55:y:2021:i:c:s1386418120300707
    DOI: 10.1016/j.finmar.2020.100601
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    1. Andriy Shkilko & Konstantin Sokolov, 2020. "Every Cloud Has a Silver Lining: Fast Trading, Microwave Connectivity, and Trading Costs," Journal of Finance, American Finance Association, vol. 75(6), pages 2899-2927, December.
    2. Uri Gneezy & Kenneth L. Leonard & John A. List, 2009. "Gender Differences in Competition: Evidence From a Matrilineal and a Patriarchal Society," Econometrica, Econometric Society, vol. 77(5), pages 1637-1664, September.
    3. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    4. Albert S Kyle & Jeongmin Lee, 2017. "Toward a fully continuous exchange," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 650-675.
    5. Baron, Matthew & Brogaard, Jonathan & Hagströmer, Björn & Kirilenko, Andrei, 2019. "Risk and Return in High-Frequency Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(3), pages 993-1024, June.
    6. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    7. 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.
    8. 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.
    9. Markus Baldauf & Joshua Mollner, 2020. "High‐Frequency Trading and Market Performance," Journal of Finance, American Finance Association, vol. 75(3), pages 1495-1526, June.
    10. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    11. Anderson, Lisa & Andrews, Emad & Devani, Baiju & Mueller, Michael & Walton, Adrian, 2022. "Speed segmentation on exchanges: Competition for slow flow," Journal of Financial Markets, Elsevier, vol. 58(C).
    12. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    13. Jonathan Brogaard & Terrence Hendershott & Ryan Riordan, 2014. "High-Frequency Trading and Price Discovery," The Review of Financial Studies, Society for Financial Studies, vol. 27(8), pages 2267-2306.
    14. Robert Bloomfield & Maureen O'Hara & Gideon Saar, 2009. "How Noise Trading Affects Markets: An Experimental Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2275-2302, June.
    15. Gozluklu, Arie E., 2016. "Pre-trade transparency and informed trading: Experimental evidence on undisclosed orders," Journal of Financial Markets, Elsevier, vol. 28(C), pages 91-115.
    16. Brolley, Michael & Cimon, David A., 2020. "Order-Flow Segmentation, Liquidity, and Price Discovery: The Role of Latency Delays," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(8), pages 2555-2587, December.
    17. Matteo Aquilina & Eric Budish, 2020. "Quantifying the High-Frequency Trading “Arms Race†: A Simple New Methodology and Estimates," Working Papers 2020-86, Becker Friedman Institute for Research In Economics.
    18. Daniel Houser & Thomas Stratmann, 2012. "Gordon Tullock and experimental economics," Public Choice, Springer, vol. 152(1), pages 211-222, July.
    19. Björn Hagströmer & Albert J. Menkveld, 2019. "Information Revelation in Decentralized Markets," Journal of Finance, American Finance Association, vol. 74(6), pages 2751-2787, December.
    20. Robert Bloomfield & Maureen O'Hara & Gideon Saar, 2015. "Hidden Liquidity: Some New Light on Dark Trading," Journal of Finance, American Finance Association, vol. 70(5), pages 2227-2274, October.
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    Cited by:

    1. Brice Corgnet & Mark DeSantis & Christoph Siemroth, 2023. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," Working Papers 2313, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    2. Eric M. Aldrich & Daniel Friedman, 2023. "Order Protection Through Delayed Messaging," Management Science, INFORMS, vol. 69(2), pages 774-790, February.

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    More about this item

    Keywords

    High-frequency trading; Experimental finance; Speed bumps; Trading technology;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G40 - Financial Economics - - Behavioral Finance - - - General

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