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Everyone’s a winner: The market impact of technologically advantaged agents

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  • McGee, Richard J.
  • Johnson, Johnnie E.V.

Abstract

Using betting data, we show that a market with agents having heterogeneous utility can include a net transfer of wealth to technologically advantaged agents (TAAs) from non-TAAs with the transaction proving beneficial to both in terms of their realized utility.

Suggested Citation

  • McGee, Richard J. & Johnson, Johnnie E.V., 2017. "Everyone’s a winner: The market impact of technologically advantaged agents," Economics Letters, Elsevier, vol. 156(C), pages 95-98.
    • Handle: RePEc:eee:ecolet:v:156:y:2017:i:c:p:95-98
    DOI: 10.1016/j.econlet.2017.04.021
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    References listed on IDEAS

    as
    1. Asch, Peter & Malkiel, Burton G. & Quandt, Richard E., 1982. "Racetrack betting and informed behavior," Journal of Financial Economics, Elsevier, vol. 10(2), pages 187-194, July.
    2. Leighton Vaughan Williams & David Paton, 1998. "Why are some favourite-longshot biases positive and others negative?," Applied Economics, Taylor & Francis Journals, vol. 30(11), pages 1505-1510.
    3. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    4. Martin Weitzman, 2008. "Utility Analysis And Group Behavior An Empirical Study," World Scientific Book Chapters, in: Donald B Hausch & Victor SY Lo & William T Ziemba (ed.), Efficiency Of Racetrack Betting Markets, chapter 9, pages 47-55, World Scientific Publishing Co. Pte. Ltd..
    5. Ruth N. Bolton & Randall G. Chapman, 2008. "Searching For Positive Returns At The Track: A Multinomial Logit Model For Handicapping Horse Races," World Scientific Book Chapters, in: Donald B Hausch & Victor SY Lo & William T Ziemba (ed.), Efficiency Of Racetrack Betting Markets, chapter 17, pages 151-171, World Scientific Publishing Co. Pte. Ltd..
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    Cited by:

    1. Conlon, Thomas & McGee, Richard J., 2020. "Betting on Bitcoin: Does gambling volume on the blockchain explain Bitcoin price changes?," Economics Letters, Elsevier, vol. 191(C).

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    More about this item

    Keywords

    Market making; Market regulation; Heterogeneous agent utility;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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