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On Frequent Batch Auctions for Stocks


  • Ravi Jagannathan


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
    Note: AP

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    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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