IDEAS home Printed from https://ideas.repec.org/a/gam/jfinte/v4y2025i2p16-d1642228.html

FinTech, Fractional Trading, and Order Book Dynamics: A Study of US Equities Markets

Author

Listed:
  • Janhavi Shankar Tripathi

    (School of Business, St. Bonaventure University, St. Bonaventure, NY 14778, USA)

  • Erick W. Rengifo

    (Department of Economics, and the Center for International Policy Studies, Fordham University, New York, NY 10458, USA)

Abstract

This study investigates how the rise of commission-free FinTech platforms and the introduction of fractional trading (FT) have altered trading behavior and order book dynamics in the NASDAQ equity market. Leveraging high-frequency ITCH data from highly capitalized stocks—AAPL, AMZN, GOOG, and TSLA—we analyze market microstructure changes surrounding the implementation of FT. Our empirical findings show a statistically significant increase in price levels, average tick sizes, and price volatility in the post-FinTech-FT period, alongside elevated price impact factors (PIFs), indicating steeper and less liquid limit order books. These shifts reflect greater participation by non-professional investors with limited order placement precision, contributing to noisier price discovery and heightened intraday risk. The altered liquidity landscape and increased volatility raise important questions about the resilience and informational efficiency of modern equity markets under democratized access. Our findings contribute to the growing literature on retail trading and provide actionable insights for market regulators and exchanges evaluating the design and oversight of evolving trading mechanisms.

Suggested Citation

  • Janhavi Shankar Tripathi & Erick W. Rengifo, 2025. "FinTech, Fractional Trading, and Order Book Dynamics: A Study of US Equities Markets," FinTech, MDPI, vol. 4(2), pages 1-23, April.
  • Handle: RePEc:gam:jfinte:v:4:y:2025:i:2:p:16-:d:1642228
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2674-1032/4/2/16/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2674-1032/4/2/16/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gempesaw, David & Henry, Joseph J. & Velthuis, Raisa, 2022. "Piecing together the extent of retail fractional trading," Global Finance Journal, Elsevier, vol. 54(C).
    2. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    3. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    4. Glosten, Lawrence R, 1994. "Is the Electronic Open Limit Order Book Inevitable?," Journal of Finance, American Finance Association, vol. 49(4), pages 1127-1161, September.
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    7. Berk, Jonathan B. & van Binsbergen, Jules H., 2025. "The impact of impact investing," Journal of Financial Economics, Elsevier, vol. 164(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alessio Emanuele Biondo, 2018. "Order book microstructure and policies for financial stability," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 35(1), pages 196-218, March.
    2. Park, Andreas & Sgroi, Daniel, "undated". "Herding and Contrarianism in a Financial Trading Experiment with Endogenous Timing," Economic Research Papers 269879, University of Warwick - Department of Economics.
    3. Qingfu Liu & Yiuman Tse & Kaixin Zheng, 2021. "The impact of trading behavioral biases on market liquidity under different volatility levels: Evidence from the Chinese commodity futures market," The Financial Review, Eastern Finance Association, vol. 56(4), pages 671-692, November.
    4. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
    5. Baruch, Shmuel & Panayides, Marios & Venkataraman, Kumar, 2017. "Informed trading and price discovery before corporate events," Journal of Financial Economics, Elsevier, vol. 125(3), pages 561-588.
    6. Skjeltorp, Johannes A & Odegaard, Bernt Arne, 2010. "Why do firms pay for liquidity provision in limit order markets?," UiS Working Papers in Economics and Finance 2010/3, University of Stavanger.
    7. Attar, Andrea & Mariotti, Thomas & Salanié, François, 2019. "On competitive nonlinear pricing," Theoretical Economics, Econometric Society, vol. 14(1), January.
    8. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    9. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    10. Bondarenko, Oleg, 2001. "Competing market makers, liquidity provision, and bid-ask spreads," Journal of Financial Markets, Elsevier, vol. 4(3), pages 269-308, June.
    11. Matthew Clifton, 2010. "Liquidity and Efficiency During Unusual Market Conditions: An Analysis of Short Selling Restrictions and Expiration-Day Procedures on the London Stock Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 14, July-Dece.
    12. Ioanid Rosu, 2009. "A Dynamic Model of the Limit Order Book," Post-Print hal-00515873, HAL.
    13. Menkhoff, Lukas & Schmeling, Maik, 2010. "Whose trades convey information? Evidence from a cross-section of traders," Journal of Financial Markets, Elsevier, vol. 13(1), pages 101-128, February.
    14. Min-Hsien Chiang & Tsai-Yin Lin & Chih-Hsien Jerry Yu, 2009. "Liquidity Provision of Limit Order Trading in the Futures Market Under Bull and Bear Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(7-8), pages 1007-1038.
    15. Garcia, John, 2025. "The power of attention: examining the roles of institutional investor and macroeconomic news attention in shaping share liquidity," Global Finance Journal, Elsevier, vol. 67(C).
    16. Rob Hayward, 2018. "Foreign Exchange Speculation: An Event Study," IJFS, MDPI, vol. 6(1), pages 1-13, February.
    17. Goyal, Amit & Reed, Adam V. & Smajlbegovic, Esad & Soebhag, Amar, 2025. "Stealthy shorts: Informed liquidity supply," Journal of Financial Economics, Elsevier, vol. 172(C).
    18. Havran, Dániel & Váradi, Kata, 2016. "A limitáras ajánlatok szerkezete és dinamikája a Budapesti Értéktőzsdén. Az OTP- és a Mol-részvények esete [The structure and dynamics of limit orders on the Budapest stock exchange: The cases of O," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 966-992.
    19. Polimenis, Vassilis, 2005. "Slow and fast markets," Journal of Economics and Business, Elsevier, vol. 57(6), pages 576-593.
    20. Choi, Darwin, 2019. "Disposition sales and stock market liquidity," Journal of Financial Markets, Elsevier, vol. 45(C), pages 19-36.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jfinte:v:4:y:2025:i:2:p:16-:d:1642228. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.