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Increasing the Tick: Examining the Impact of the Tick Size Change on Maker‐Taker and Taker‐Maker Market Models

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  • Justin Cox
  • Bonnie Van Ness
  • Robert Van Ness

Abstract

We investigate the effects of an increase in tick size on order and trading flow across market fee models. Using the pilot firms in the U.S. Securities and Exchange Commission's Tick Size Pilot Program, we document that trade and order volume declines on maker‐taker fee models after the tick size implementation. We find that the inverted fee models (taker‐maker) experience an increase in both trade and order volume. Additionally, we find that a tick size adjustment has a substantial influence on market participation in maker‐taker fee models. We also find that measures of both hidden and algorithmic trading decline with an increasing tick size, which is strongly moderated by the differences in the maker‐taker and taker‐maker fee models.

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  • Justin Cox & Bonnie Van Ness & Robert Van Ness, 2019. "Increasing the Tick: Examining the Impact of the Tick Size Change on Maker‐Taker and Taker‐Maker Market Models," The Financial Review, Eastern Finance Association, vol. 54(3), pages 417-449, August.
  • Handle: RePEc:bla:finrev:v:54:y:2019:i:3:p:417-449
    DOI: 10.1111/fire.12187
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    References listed on IDEAS

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    1. Friederich, Sylvain & Payne, Richard, 2015. "Order-to-trade ratios and market liquidity," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 214-223.
    2. Kwan, Amy & Masulis, Ronald & McInish, Thomas H., 2015. "Trading rules, competition for order flow and market fragmentation," Journal of Financial Economics, Elsevier, vol. 115(2), pages 330-348.
    3. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2011. "Recent trends in trading activity and market quality," Journal of Financial Economics, Elsevier, vol. 101(2), pages 243-263, August.
    4. Hendershott, Terrence & Riordan, Ryan, 2013. "Algorithmic Trading and the Market for Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(4), pages 1001-1024, August.
    5. Brian M. Weller, 2018. "Does Algorithmic Trading Reduce Information Acquisition?," The Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2184-2226.
    6. Thierry Foucault & Ohad Kadan & Eugene Kandel, 2013. "Liquidity Cycles and Make/Take Fees in Electronic Markets," Journal of Finance, American Finance Association, vol. 68(1), pages 299-341, February.
    7. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    8. Harris, Lawrence E, 1994. "Minimum Price Variations, Discrete Bid-Ask Spreads, and Quotation Sizes," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 149-178.
    9. 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.
    10. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
    11. Foley, Sean & Putniņš, Tālis J., 2016. "Should we be afraid of the dark? Dark trading and market quality," Journal of Financial Economics, Elsevier, vol. 122(3), pages 456-481.
    12. 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.
    13. Maureen O'Hara & Chen Yao & Mao Ye, 2014. "What's Not There: Odd Lots and Market Data," Journal of Finance, American Finance Association, vol. 69(5), pages 2199-2236, October.
    14. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    15. David C. Porter & Daniel G. Weaver, 1997. "Tick Size and Market Quality," Financial Management, Financial Management Association, vol. 26(4), Winter.
    16. James J. Angel & Lawrence E. Harris & Chester S. Spatt, 2015. "Equity Trading in the 21st Century: An Update," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-39.
    17. Aitken, Michael J. & Berkman, Henk & Mak, Derek, 2001. "The use of undisclosed limit orders on the Australian Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1589-1603, August.
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    Cited by:

    1. Watson, Ethan D. & Woods, Donovan, 2022. "Exchange introduction and market competition: The entrance of MEMX and MIAX," Global Finance Journal, Elsevier, vol. 54(C).
    2. Isao Yagi & Mahiro Hoshino & Takanobu Mizuta, 2020. "Analysis of the impact of maker-taker fees on the stock market using agent-based simulation," Papers 2010.08992, arXiv.org.
    3. Lee, Albert J. & Chung, Kee H., 2022. "Hidden liquidity, market quality, and order submission strategies," Journal of Financial Markets, Elsevier, vol. 61(C).
    4. Chakrabarty, Bidisha & Cox, Justin & Upson, James E., 2022. "Tick Size Pilot Program and price discovery in U.S. stock markets," Journal of Financial Markets, Elsevier, vol. 59(PB).
    5. Zhu, Hongyu & Yamamoto, Ryuichi, 2022. "Order submission, information asymmetry, and tick size," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    6. Chen, Marie & Garriott, Corey, 2020. "High-frequency trading and institutional trading costs," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 74-93.
    7. 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.
    8. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    9. 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).
    10. Justin Cox & Bonnie Van Ness & Robert Van Ness, 2022. "Stock splits and retail trading," The Financial Review, Eastern Finance Association, vol. 57(4), pages 731-750, November.
    11. Mahiro Hoshino & Takanobu Mizuta & Yasuhiro Sudo & Isao Yagi, 2022. "Impact of maker-taker fees on stock exchange competition from an agent-based simulation," Journal of Computational Social Science, Springer, vol. 5(2), pages 1323-1342, November.

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