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On Frequent Batch Auctions for Stocks

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  • 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, 2019. "On Frequent Batch Auctions for Stocks," NBER Working Papers 26341, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26341
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    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. 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.
    3. Madhavan, Ananth, 1992. "Trading Mechanisms in Securities Markets," Journal of Finance, American Finance Association, vol. 47(2), pages 607-641, June.
    4. 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.
    5. Lauterbach, Beni, 2001. "A note on trading mechanism and securities' value: The analysis of rejects from continuous trade," Journal of Banking & Finance, Elsevier, vol. 25(2), pages 419-430, February.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Marzena Rostek & Marek Weretka, 2015. "Dynamic Thin Markets," The Review of Financial Studies, Society for Financial Studies, vol. 28(10), pages 2946-2992.
    12. 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.
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    2. Luyao Zhang & Fan Zhang, 2023. "Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective," Papers 2305.02552, arXiv.org.

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    More about this item

    JEL classification:

    • G0 - Financial Economics - - General
    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G2 - Financial Economics - - Financial Institutions and Services

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