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Middlemen in Limit Order Markets

Author

Listed:
  • Albert J. Menkveld

    (VU University Amsterdam)

  • Boyan Jovanovic

    (NYU Economics)

Abstract

We model high-frequency traders in electronic markets. We ask how the presence of such middlemen may affect welfare. We find that middlemen process public information faster than the average investor. As such, they can play a positive or a negative role. On the positive side, when they enter a market they can raise welfare by solving a pre-existing adverse selection problem. In that case their entry is accompanied by a rise in trade and a fall in bid-ask spreads, and they can raise welfare by up to 30% of the gap between its equilibrium level and its first-best level. On the negative side, they can create or exacerbate an adverse- selection problem, in which case spreads rise and trade declines. Our evidence on this score is mixed. On the one hand, middlemen’s participation lowers spreads but, on the other, it also lowers trade.

Suggested Citation

  • Albert J. Menkveld & Boyan Jovanovic, 2010. "Middlemen in Limit Order Markets," 2010 Meeting Papers 955, Society for Economic Dynamics.
    • Handle: RePEc:red:sed010:955
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    Cited by:

    1. Emiliano S. Pagnotta & Thomas Philippon, 2018. "Competing on Speed," Econometrica, Econometric Society, vol. 86(3), pages 1067-1115, May.
    2. Rodolfo E. Manuelli & Adrian Peralta-Alva, 2011. "\\"Frictions in financial and labor markets\\": a summary of the 35th Annual Economic Policy Conference," Review, Federal Reserve Bank of St. Louis, vol. 93(July), pages 273-292.
    3. Yacine Aït-Sahalia & Mehmet Saglam, 2013. "High Frequency Traders: Taking Advantage of Speed," NBER Working Papers 19531, National Bureau of Economic Research, Inc.
    4. Biais, Bruno & Foucault, Thierry & Moinas, Sophie, 2015. "Equilibrium fast trading," Journal of Financial Economics, Elsevier, vol. 116(2), pages 292-313.
    5. Riccardo Cesari & Massimiliano Marzo & Paolo Zagaglia, 2012. "Effective Trade Execution," Working Paper series 41_12, Rimini Centre for Economic Analysis.
    6. Donald B. Keim & Massimo Massa & Bastian von Beschwitz, 2018. "First to \"Read\" the News: New Analytics and Algorithmic Trading," International Finance Discussion Papers 1233, Board of Governors of the Federal Reserve System (U.S.).
    7. Dan Li & Norman Schürhoff, 2019. "Dealer Networks," Journal of Finance, American Finance Association, vol. 74(1), pages 91-144, February.
    8. Dugast, J., 2013. "Limited attention and news arrival in limit order markets," Working papers 449, Banque de France.
    9. Nidhi Aggarwal & Susan Thomas, 2014. "The causal impact of algorithmic trading on market quality," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2014-023, Indira Gandhi Institute of Development Research, Mumbai, India.
    10. Gehrig, Thomas & Ritzberger, Klaus, 2022. "Intermediation and price volatility," Journal of Economic Theory, Elsevier, vol. 201(C).
    11. Robert P. Bartlett, III & Justin McCrary, 2015. "Dark Trading at the Midpoint: Pricing Rules, Order Flow, and High Frequency Liquidity Provision," NBER Working Papers 21286, National Bureau of Economic Research, Inc.
    12. Biais, Bruno & Woolley, Paul, 2012. "High Frequency Trading," IDEI Working Papers 31724, Institut d'Économie Industrielle (IDEI), Toulouse.
    13. 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.
    14. Sánchez Serrano Antonio, 2020. "High-Frequency Trading and Systemic Risk: A Structured Review of Findings and Policies," Review of Economics, De Gruyter, vol. 71(3), pages 169-195, December.
    15. Garg, Karan, 2021. "Machines and Markets : Assessing the Impact of Algorithmic Trading on Financial Market Efficiency," Warwick-Monash Economics Student Papers 11, Warwick Monash Economics Student Papers.
    16. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
    17. Aït-Sahalia, Yacine & Brunetti, Celso, 2020. "High frequency traders and the price process," Journal of Econometrics, Elsevier, vol. 217(1), pages 20-45.
    18. Bruno Biais & Thierry Foucault, 2014. "HFT and Market Quality," Bankers, Markets & Investors, ESKA Publishing, issue 128, pages 5-19, January-F.

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