IDEAS home Printed from https://ideas.repec.org/a/oup/jfinec/v20y2022i1p1-17..html
   My bibliography  Save this article

On Frequent Batch Auctions for Stocks
[Tail Expectation and Imperfect Competition in Limit Order Book Markets]

Author

Listed:
  • Ravi Jagannathan

Abstract

I show that frequent batch auctions for stocks have the potential to reduce the severity of stock price crashes when they occur. For a given sequence of orders from a continuous electronic limit order book market, matching orders using one-second apart batch auctions results in nearly the same trades and prices. Increasing the time interval between auctions to one minute significantly reduces the severity stock price crashes. In spite of this and other advantages pointed out in the literature, frequent batch auctions have not caught on. There is a need for carefully designed market experiments to understand why and what aspect of reality academic research may be missing.

Suggested Citation

  • Ravi Jagannathan, 2022. "On Frequent Batch Auctions for Stocks [Tail Expectation and Imperfect Competition in Limit Order Book Markets]," Journal of Financial Econometrics, Oxford University Press, vol. 20(1), pages 1-17.
  • Handle: RePEc:oup:jfinec:v:20:y:2022:i:1:p:1-17.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/jjfinec/nbz038
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Songzi Du & Haoxiang Zhu, 2017. "What is the Optimal Trading Frequency in Financial Markets?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(4), pages 1606-1651.
    2. Jagannathan, Ravi & Jirnyi, Andrei & Sherman, Ann Guenther, 2015. "Share auctions of initial public offerings: Global evidence," Journal of Financial Intermediation, Elsevier, vol. 24(3), pages 283-311.
    3. 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.
    4. Madhavan, Ananth, 1992. "Trading Mechanisms in Securities Markets," Journal of Finance, American Finance Association, vol. 47(2), pages 607-641, June.
    5. Muscarella, Chris J. & Piwowar, Michael S., 2001. "Market microstructure and securities values: : Evidence from the Paris Bourse," Journal of Financial Markets, Elsevier, vol. 4(3), pages 209-229, June.
    6. Marzena Rostek & Marek Weretka, 2015. "Dynamic Thin Markets," Review of Financial Studies, Society for Financial Studies, vol. 28(10), pages 2946-2992.
    7. Dimitri Vayanos, 1999. "Strategic Trading and Welfare in a Dynamic Market," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(2), pages 219-254.
    8. Avner Kalay & Li Wei & Avi Wohl, 2002. "Continuous Trading or Call Auctions: Revealed Preferences of Investors at the Tel Aviv Stock Exchange," Journal of Finance, American Finance Association, vol. 57(1), pages 523-542, February.
    9. Baruch, Shmuel & Glosten, Lawrence R., 2019. "Tail expectation and imperfect competition in limit order book markets," Journal of Economic Theory, Elsevier, vol. 183(C), pages 661-697.
    10. Twu, Mia & Wang, Jianxin, 2018. "Call auction frequency and market quality: Evidence from the Taiwan Stock Exchange," Journal of Asian Economics, Elsevier, vol. 57(C), pages 53-62.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luyao Zhang & Fan Zhang, 2023. "Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective," Papers 2305.02552, arXiv.org.

    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. Twu, Mia & Wang, Jianxin, 2018. "Call auction frequency and market quality: Evidence from the Taiwan Stock Exchange," Journal of Asian Economics, Elsevier, vol. 57(C), pages 53-62.
    2. Jiayi Li & Sumei Luo & Guangyou Zhou, 2021. "Call auction, continuous trading and closing price formation," Quantitative Finance, Taylor & Francis Journals, vol. 21(6), pages 1037-1065, June.
    3. Silvio John Camilleri & Christopher J. Green, 2009. "The impact of the suspension of opening and closing call auctions: evidence from the National Stock Exchange of India," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 1(3), pages 257-284.
    4. Glebkin, Sergei & Kuong, John Chi-Fong, 2023. "When large traders create noise," Journal of Financial Economics, Elsevier, vol. 150(2).
    5. Duffie, Darrell & Antill, Samuel, 2017. "Augmenting Markets with Mechanisms," Research Papers repec:ecl:stabus:3623, Stanford University, Graduate School of Business.
    6. Zhang, Anthony Lee, 2022. "Competition and manipulation in derivative contract markets," Journal of Financial Economics, Elsevier, vol. 144(2), pages 396-413.
    7. Henke, Harald, 2006. "When continuous trading becomes continuous: The impact of institutional trading on the continuous trading system of the Warsaw Stock Exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(1), pages 110-132, February.
    8. Loertscher, Simon & Muir, Ellen V. & Taylor, Peter G., 2022. "Optimal market thickness," Journal of Economic Theory, Elsevier, vol. 200(C).
    9. Avner Kalay & Li Wei & Avi Wohl, 2002. "Continuous Trading or Call Auctions: Revealed Preferences of Investors at the Tel Aviv Stock Exchange," Journal of Finance, American Finance Association, vol. 57(1), pages 523-542, February.
    10. Weiyu Kuo & Yu‐Ching Li, 2011. "Trading Mechanisms and Market Quality: Call Markets versus Continuous Auction Markets," International Review of Finance, International Review of Finance Ltd., vol. 11(4), pages 417-444, December.
    11. Jason Allen & Milena Wittwer, 2023. "Intermediary Market Power and Capital Constraints," Staff Working Papers 23-51, Bank of Canada.
    12. Ya‐Kai Chang & Robin K. Chou & J. Jimmy Yang, 2020. "A rare move: The effects of switching from a closing call auction to a continuous trading," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(3), pages 308-328, March.
    13. Andrea Attar & Thomas Mariotti & François Salanié, 2021. "Entry-Proofness and Discriminatory Pricing under Adverse Selection," American Economic Review, American Economic Association, vol. 111(8), pages 2623-2659, August.
    14. 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.
    15. Comerton-Forde, Carole & Rydge, James, 2006. "The influence of call auction algorithm rules on market efficiency," Journal of Financial Markets, Elsevier, vol. 9(2), pages 199-222, May.
    16. Hwang, Hae-shin & Jindapon, Paan, 2020. "Market making with convex quotes," Finance Research Letters, Elsevier, vol. 37(C).
    17. Bondarenko, Oleg, 2001. "Competing market makers, liquidity provision, and bid-ask spreads," Journal of Financial Markets, Elsevier, vol. 4(3), pages 269-308, June.
    18. Lou, Youcheng & Rahi, Rohit, 2023. "Information, market power and welfare," LSE Research Online Documents on Economics 120479, London School of Economics and Political Science, LSE Library.
    19. Ralph S. J. Koijen & Motohiro Yogo, 2019. "A Demand System Approach to Asset Pricing," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1475-1515.
    20. Rosita P. Chang & Shuh‐Tzy Hsu & Nai‐Kuan Huang & S. Ghon Rhee, 1999. "The Effects of Trading Methods on Volatility and Liquidity: Evidence from the Taiwan Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1‐2), pages 137-170, January.

    More about this item

    Keywords

    trading mechanisms; frequent batch auctions; continuous trading; limit order book; HFT; high-frequency trading; flash crash; liquidity;
    All these keywords.

    JEL classification:

    • G00 - Financial Economics - - General - - - General
    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G2 - Financial Economics - - Financial Institutions and Services

    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:oup:jfinec:v:20:y:2022:i:1:p:1-17.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sofieea.html .

    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.