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Refusing the best price?

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Listed:
  • Li, Sida
  • Ye, Mao
  • Zheng, Miles

Abstract

The Regulation National Market System (Reg NMS) links fragmented stock exchanges by routing orders to the National Best Bid and Offer (NBBO). As the NBBO ignores exchange fees, 62% of routings lead to worse net prices. An increase in fee differences increases the market share captured by orders that refuse Reg NMS routings, particularly for stocks whose fees account for a large portion of transaction costs. Heterogeneous opportunity costs rationalize routing choices: non-routable orders entail lower non-execution costs than routable orders. Our results indicate that fees and clientele segmentation drive the proliferation of order types in the Reg NMS era.

Suggested Citation

  • Li, Sida & Ye, Mao & Zheng, Miles, 2023. "Refusing the best price?," Journal of Financial Economics, Elsevier, vol. 147(2), pages 317-337.
  • Handle: RePEc:eee:jfinec:v:147:y:2023:i:2:p:317-337
    DOI: 10.1016/j.jfineco.2022.11.004
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    References listed on IDEAS

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    1. Liyan Yang & Haoxiang Zhu, 2020. "Back-Running: Seeking and Hiding Fundamental Information in Order Flows," Review of Finance, European Finance Association, vol. 33(4), pages 1484-1533.
    2. Sida Li & Mao Ye & Miles Zheng, 2021. "Financial Regulation, Clientele Segmentation, and Stock Exchange Order Types," NBER Working Papers 28515, National Bureau of Economic Research, Inc.
    3. Thierry Foucault & Ailsa Röell & Patrik Sandås, 2003. "Market Making with Costly Monitoring: An Analysis of the SOES Controversy," The Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 345-384.
    4. Hasbrouck, Joel, 2007. "Empirical Market Microstructure: The Institutions, Economics, and Econometrics of Securities Trading," OUP Catalogue, Oxford University Press, number 9780195301649, Decembrie.
    5. Chakravarty, Sugato & Jain, Pankaj & Upson, James & Wood, Robert, 2012. "Clean Sweep: Informed Trading through Intermarket Sweep Orders," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(2), pages 415-435, April.
    6. Thierry Foucault & Albert J. Menkveld, 2008. "Competition for Order Flow and Smart Order Routing Systems," Journal of Finance, American Finance Association, vol. 63(1), pages 119-158, February.
    7. Robert Battalio & Shane A. Corwin & Robert Jennings, 2016. "Can Brokers Have It All? On the Relation between Make-Take Fees and Limit Order Execution Quality," Journal of Finance, American Finance Association, vol. 71(5), pages 2193-2238, October.
    8. O'Hara, Maureen & Ye, Mao, 2011. "Is market fragmentation harming market quality?," Journal of Financial Economics, Elsevier, vol. 100(3), pages 459-474, June.
    9. Li, Sida & Wang, Xin & Ye, Mao, 2021. "Who provides liquidity, and when?," Journal of Financial Economics, Elsevier, vol. 141(3), pages 968-980.
    10. Albert J. Menkveld, 2016. "The Economics of High-Frequency Trading: Taking Stock," Annual Review of Financial Economics, Annual Reviews, vol. 8(1), pages 1-24, October.
    11. Amber Anand & Mehrdad Samadi & Jonathan Sokobin & Kumar Venkataraman, 2021. "Institutional Order Handling and Broker-Affiliated Trading Venues [Performance of institutional trading desks: An analysis of persistence in trading costs]," Review of Financial Studies, Society for Financial Studies, vol. 34(7), pages 3364-3402.
    12. Dittmar, Amy & Field, Laura Casares, 2015. "Can managers time the market? Evidence using repurchase price data," Journal of Financial Economics, Elsevier, vol. 115(2), pages 261-282.
    13. Boehmer, Ekkehart, 2005. "Dimensions of execution quality: Recent evidence for US equity markets," Journal of Financial Economics, Elsevier, vol. 78(3), pages 553-582, December.
    14. Foucault, Thierry & Pagano, Marco & Roell, Ailsa, 2013. "Market Liquidity: Theory, Evidence, and Policy," OUP Catalogue, Oxford University Press, number 9780199936243, Decembrie.
    15. Bessembinder, Hendrik & Venkataraman, Kumar, 2004. "Does an electronic stock exchange need an upstairs market?," Journal of Financial Economics, Elsevier, vol. 73(1), pages 3-36, July.
    16. Chester Spatt, 2018. "The New Realities of Market Structure and Liquidity: Where Have We Been? Where are We Going?," World Scientific Book Chapters, in: Douglas D Evanoff & A G Malliaris & George Kaufman (ed.), Public Policy & Financial Economics Essays in Honor of Professor George G Kaufman for His Lifelong Contributions to the Profession, chapter 13, pages 247-263, World Scientific Publishing Co. Pte. Ltd..
    17. Markus Baldauf & Joshua Mollner, 2020. "High‐Frequency Trading and Market Performance," Journal of Finance, American Finance Association, vol. 75(3), pages 1495-1526, June.
    18. Yong Chao & Chen Yao & Mao Ye, 2019. "Why Discrete Price Fragments U.S. Stock Exchanges and Disperses Their Fee Structures," Review of Financial Studies, Society for Financial Studies, vol. 32(3), pages 1068-1101.
    19. 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.
    20. Amber Anand & Mehrdad Samadi & Jonathan Sokobin & Kumar Venkataraman, 2021. "Institutional Order Handling and Broker-Affiliated Trading Venues," NBER Chapters, in: Big Data: Long-Term Implications for Financial Markets and Firms, pages 3364-3402, National Bureau of Economic Research, Inc.
    21. Chen Yao & Mao Ye, 2018. "Why Trading Speed Matters: A Tale of Queue Rationing under Price Controls," Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2157-2183.
    22. Bessembinder, Hendrik & Panayides, Marios & Venkataraman, Kumar, 2009. "Hidden liquidity: An analysis of order exposure strategies in electronic stock markets," Journal of Financial Economics, Elsevier, vol. 94(3), pages 361-383, December.
    23. Liyan Yang & Haoxiang Zhu, 2020. "Back-Running: Seeking and Hiding Fundamental Information in Order Flows [Arbitraging arbitrageurs]," Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1484-1533.
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