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Inverted fee structures, tick size, and market quality

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  • Comerton-Forde, Carole
  • Grégoire, Vincent
  • Zhong, Zhuo

Abstract

Stock exchanges compete for order flow through their fee models. A traditional model pays rebates to liquidity suppliers, and an inverted model pays rebates to liquidity demanders. Using a regulatory intervention to examine the interaction between tick size, restrictions on dark trading, and exchange fees, we show that traders use inverted venues to adjust for suboptimal tick sizes. Increased inverted venue activity improves pricing efficiency and liquidity, especially when the tick size is binding. We show that the sub-tick price improvement offered by inverted venues enhances competition for liquidity provision and increases information impounded into prices through nonmarketable limit orders.

Suggested Citation

  • Comerton-Forde, Carole & Grégoire, Vincent & Zhong, Zhuo, 2019. "Inverted fee structures, tick size, and market quality," Journal of Financial Economics, Elsevier, vol. 134(1), pages 141-164.
    • Handle: RePEc:eee:jfinec:v:134:y:2019:i:1:p:141-164
    DOI: 10.1016/j.jfineco.2019.03.005
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    References listed on IDEAS

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    Cited by:

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    3. Stephen N. Jurich, 2020. "Size Precedence And Share Volume: The Case Of The Psx Exchange," Journal of Financial Management, Markets and Institutions (JFMMI), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-28, December.
    4. Roberto Riccó & Barbara Rindi & Duane J. Seppi, 2021. "Optimal Market Asset Pricing," Working Papers 675, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    5. Zhu, Hongyu & Yamamoto, Ryuichi, 2022. "Order submission, information asymmetry, and tick size," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    6. Marius Zoican & Sorin Zoican, 2019. "Fragmentation of Distributed Exchanges," Papers 1910.11216, arXiv.org, revised Nov 2019.
    7. Ingrid M. Werner & Barbara Rindi & Sabrina Buti & Yuanji Wen, 2023. "Tick Size, Trading Strategies, and Market Quality," Management Science, INFORMS, vol. 69(7), pages 3818-3837, July.
    8. Justin Cox & Kathleen P. Fuller & Robert Van Ness, 2024. "Where does ex‐dividend trading occur: An examination of trading venues around dividends," The Financial Review, Eastern Finance Association, vol. 59(1), pages 31-55, February.
    9. Duong, Huu Nhan & Kalev, Petko S. & Tian, Xiao Jason, 2022. "Does the bid–ask spread affect trading in exchange operated dark pools? Evidence from a natural experiment," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    10. Lee, Albert J. & Chung, Kee H., 2022. "Hidden liquidity, market quality, and order submission strategies," Journal of Financial Markets, Elsevier, vol. 61(C).
    11. Vincent Grégoire & Charles Martineau, 2022. "How is Earnings News Transmitted to Stock Prices?," Journal of Accounting Research, Wiley Blackwell, vol. 60(1), pages 261-297, March.
    12. Griffith, Todd & Roseman, Brian & Shang, Danjue, 2020. "The effects of an increase in equity tick size on stock and option transaction costs," Journal of Banking & Finance, Elsevier, vol. 114(C).
    13. Jose S. Penalva & Mikel Tapia, 2021. "Heterogeneity and Competition in Fragmented Markets: Fees Vs Speed," Applied Mathematical Finance, Taylor & Francis Journals, vol. 28(2), pages 143-177, March.
    14. Xiao, Xijuan & Yamamoto, Ryuichi, 2020. "Price discovery, order submission, and tick size during preopen period," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    15. Kee H. Chung & Chairat Chuwonganant, 2023. "Tick size and price efficiency: Further evidence from the Tick Size Pilot Program," Financial Management, Financial Management Association International, vol. 52(3), pages 483-511, September.
    16. Drummond, Philip A., 2023. "Market quality surrounding anticipated distraction events: Evidence from the FIFA World Cup," Journal of Financial Markets, Elsevier, vol. 63(C).
    17. Zheng, Jiayi & Zhu, Yushu, 2023. "Algorithmic trading and block ownership initiation: An information perspective," The British Accounting Review, Elsevier, vol. 55(4).
    18. Ibikunle, Gbenga & Li, Youwei & Mare, Davide & Sun, Yuxin, 2021. "Dark matters: The effects of dark trading restrictions on liquidity and informational efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    19. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    20. Jain, Pankaj K. & Linna, Jared A. & McInish, Thomas H., 2021. "An examination of the NYSE’s retail liquidity program," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 367-373.
    21. Giuliano Graziani & Barbara Rindi, 2023. "Optimal Tick Size," Working Papers 688, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    22. Jeffrey R. Black, 2022. "The impact of make-take fees on market efficiency," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 1015-1035, April.
    23. Chen, Haiqiang & Gu, Ming & Ni, Bo, 2023. "How price limit affects the market efficiency in a short-sale constrained market? Evidence from a quasi-natural experiment," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 22-39.

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    More about this item

    Keywords

    Exchange fees; Inverted venues; Dark trading;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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