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The effect of algorithmic trading on market liquidity: Evidence around earnings announcements on Borsa Italiana

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  • Frino, Alex
  • Mollica, Vito
  • Monaco, Eleonora
  • Palumbo, Riccardo

Abstract

This paper examines the impact of algorithmic trading (AT) on market liquidity around periods of high information asymmetry when available liquidity is more valuable. We identify the implementation of proximity hosting services by Borsa Italiana, that are expected to increase AT, in order to examine the behaviour of liquidity around earnings announcements in pre- and post-AT periods. Consistent with previous research, we find that bid-ask spreads widen and market depth falls following earnings announcements in the pre-AT period. However, in the post-AT period, while we find a similar pattern in bid-ask spreads, we find no evidence of a significant fall in market depth. We also find firms that experience the largest increase in AT from pre- to post-AT periods, exhibit lower bid-ask spreads and greater depth following earnings announcements. We conclude that AT improves market liquidity by increasing the resiliency of markets around periods of high information asymmetry, specifically around earnings announcements.

Suggested Citation

  • Frino, Alex & Mollica, Vito & Monaco, Eleonora & Palumbo, Riccardo, 2017. "The effect of algorithmic trading on market liquidity: Evidence around earnings announcements on Borsa Italiana," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 82-90.
    • Handle: RePEc:eee:pacfin:v:45:y:2017:i:c:p:82-90
    DOI: 10.1016/j.pacfin.2016.07.003
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    References listed on IDEAS

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    1. Jean‐François Gajewski, 1999. "Earnings Announcements, Asymmetric Information, Trades and Quotes," European Financial Management, European Financial Management Association, vol. 5(3), pages 411-424, November.
    2. Chai, Daniel & Faff, Robert & Gharghori, Philip, 2010. "New evidence on the relation between stock liquidity and measures of trading activity," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 181-192, June.
    3. Krinsky, Itzhak & Lee, Jason, 1996. "Earnings Announcements and the Components of the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 51(4), pages 1523-1535, September.
    4. Alex Frino & Riccardo Palumbo & Francesco Capalbo & Dionigi Gerace & Vito Mollica, 2013. "Information Disclosure and Stock Liquidity: Evidence from Borsa Italiana," Abacus, Accounting Foundation, University of Sydney, vol. 49(4), pages 423-440, December.
    5. Harold Demsetz, 1968. "Do Competition and Monopolistic Competition Differ?," Journal of Political Economy, University of Chicago Press, vol. 76, pages 146-146.
    6. Lee, Charles M C & Mucklow, Belinda & Ready, Mark J, 1993. "Spreads, Depths, and the Impact of Earnings Information: An Intraday Analysis," Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 345-374.
    7. Alex Frino & Vito Mollica & Robert I. Webb, 2014. "The Impact of Co‐Location of Securities Exchanges' and Traders' Computer Servers on Market Liquidity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(1), pages 20-33, January.
    8. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, February.
    9. Michael Goldstein & Elvis Jarnecic & Mark Snape, 2014. "The Provision of Liquidity by High-Frequency Participants," The Financial Review, Eastern Finance Association, vol. 49(2), pages 371-394, May.
    10. Jonathan Brogaard & Björn Hagströmer & Lars Nordén & Ryan Riordan, 2015. "Trading Fast and Slow: Colocation and Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 28(12), pages 3407-3443.
    11. I. Krinsky & J. Lee, 1996. "Earning Announcements and the Components of the Bid-Ask Aspread," Quantitative Studies in Economics and Population Research Reports 313, McMaster University.
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    Cited by:

    1. Monaco, Eleonora & Ibikunle, Gbenga & Palumbo, Riccardo & Zhang, Zeyu, 2022. "The liquidity and trading activity effects of acquisition payment methods: Evidence from the announcements of private firms' acquisitions," International Review of Financial Analysis, Elsevier, vol. 82(C).
    2. Alex Frino & Michael Garcia & Zeyang Zhou, 2020. "Impact of algorithmic trading on speed of adjustment to new information: Evidence from interest rate derivatives," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 749-760, May.

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