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The impact of algorithmic trading on liquidity in futures markets: New insights into the resiliency of spreads and depth

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  • Alex Frino
  • Dionigi Gerace
  • Masud Behnia

Abstract

This paper examines the impact of algorithmic trading on the resiliency of bid‐ask spreads and market depth. We use a natural experiment provided by the Australian Securities Exchange (ASX) for futures markets in 2012—the introduction of collocated facilities for FCM's. Previous research demonstrates that the change on the ASX in 2012 increased algorithmic trading and improved liquidity. We extend this study by documenting that the sensitivity of bid‐ask spreads and market depth to price volatility and trading activity declines after the introduction of co‐location. We also find that the speed of recovery of liquidity to large trades is more rapid after the introduction of colocated facilities. These results are consistent with the hypothesis that algorithmic trading reduces the time that limit orders are alive and the adjustment of quotes to new information and market volatility which in turn increases the resilience of liquidity.

Suggested Citation

  • Alex Frino & Dionigi Gerace & Masud Behnia, 2021. "The impact of algorithmic trading on liquidity in futures markets: New insights into the resiliency of spreads and depth," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1301-1314, August.
    • Handle: RePEc:wly:jfutmk:v:41:y:2021:i:8:p:1301-1314
    DOI: 10.1002/fut.22224
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    References listed on IDEAS

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    1. Lee, Charles M C & Mucklow, Belinda & Ready, Mark J, 1993. "Spreads, Depths, and the Impact of Earnings Information: An Intraday Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 345-374.
    2. Mestel, Roland & Murg, Michael & Theissen, Erik, 2018. "Algorithmic trading and liquidity: Long term evidence from Austria," Finance Research Letters, Elsevier, vol. 26(C), pages 198-203.
    3. Holthausen, Robert W. & Leftwich, Richard W. & Mayers, David, 1990. "Large-block transactions, the speed of response, and temporary and permanent stock-price effects," Journal of Financial Economics, Elsevier, vol. 26(1), pages 71-95, July.
    4. Michael J. Aitken & Alex Frino & Amelia M. Hill & Elvis Jarnecic, 2004. "The impact of electronic trading on bid‐ask spreads: Evidence from futures markets in Hong Kong, London, and Sydney," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(7), pages 675-696, July.
    5. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    6. David K. Ding, 1999. "The determinants of bid‐ask spreads in the foreign exchange futures market: A microstructure analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(3), pages 307-324, May.
    7. Harris, Lawrence E, 1994. "Minimum Price Variations, Discrete Bid-Ask Spreads, and Quotation Sizes," The Review of Financial Studies, Society for Financial Studies, vol. 7(1), pages 149-178.
    8. Hendershott, Terrence & Moulton, Pamela C., 2011. "Automation, speed, and stock market quality: The NYSE's Hybrid," Journal of Financial Markets, Elsevier, vol. 14(4), pages 568-604, November.
    9. Alex Frino & Robert I. Webb & Hui Zheng, 2012. "Does International Order Flow Contribute to Price Discovery in Futures Markets?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(12), pages 1124-1143, December.
    10. 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.
    11. Alex Frino & Teddy Oetomo, 2005. "Slippage in futures markets: Evidence from the Sydney Futures Exchange," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(12), pages 1129-1146, December.
    12. Alex Frino & Jennifer Kruk & Andrew Lepone, 2007. "Transactions in futures markets: Informed or uninformed?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(12), pages 1159-1174, December.
    13. repec:grz:wpsses:2018-03 is not listed on IDEAS
    14. Jonathan Brogaard & Björn Hagströmer & Lars Nordén & Ryan Riordan, 2015. "Trading Fast and Slow: Colocation and Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 28(12), pages 3407-3443.
    15. Brogaard, Jonathan & Carrion, Allen & Moyaert, Thibaut & Riordan, Ryan & Shkilko, Andriy & Sokolov, Konstantin, 2018. "High frequency trading and extreme price movements," Journal of Financial Economics, Elsevier, vol. 128(2), pages 253-265.
    16. Luke Bortoli & Alex Frino & Elvis Jarnecic & David Johnstone, 2006. "Limit order book transparency, execution risk, and market liquidity: Evidence from the Sydney Futures Exchange," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(12), pages 1147-1167, December.
    17. George H. K. Wang & Jot Yau & Tony Baptiste, 1997. "Trading volume and transaction costs in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 17(7), pages 757-780, October.
    18. Jeff Fleming & Barbara Ostdiek & Robert E. Whaley, 1996. "Trading costs and the relative rates of price discovery in stock, futures, and option markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(4), pages 353-387, June.
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