On Frequent Batch Auctions for Stocks

25 Pages Posted: 7 Oct 2019 Last revised: 23 Jun 2023

See all articles by Ravi Jagannathan

Ravi Jagannathan

Northwestern University - Kellogg School of Management; National Bureau of Economic Research (NBER); Shanghai Jiao Tong University (SJTU) - Shanghai Advanced Institute of Finance (SAIF); Indian School of Business (ISB), Hyderabad

Date Written: October 2019

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

Jagannathan, Ravi, On Frequent Batch Auctions for Stocks (October 2019). NBER Working Paper No. w26341, Available at SSRN: https://ssrn.com/abstract=3465351

Ravi Jagannathan (Contact Author)

Northwestern University - Kellogg School of Management ( email )

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National Bureau of Economic Research (NBER)

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Shanghai Jiao Tong University (SJTU) - Shanghai Advanced Institute of Finance (SAIF) ( email )

Shanghai Jiao Tong University
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Shanghai, 200030
China

Indian School of Business (ISB), Hyderabad ( email )

Hyderabad, Gachibowli 500 019
India

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