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Intra Day Bid‐Ask Spreads, Trading Volume and Volatility: Recent Empirical Evidence from the London Stock Exchange

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  • Charlie X. Cai
  • Robert Hudson
  • Kevin Keasey

Abstract

With the benefit of very high frequency (25 million 1 minute observations) and recent data (2001) for the UK, this paper explores a number of intra day patterns of stock market behaviour. More specifically, a distinct reverse J shaped bid‐ask spread pattern is noted for SETS securities, a declining bid‐ask spread pattern for non‐SETS securities, a two hump pattern for trading volume and a U‐shaped pattern for returns volatility for all securities. In terms of complementing the existing literature, the paper shows that differences in trading systems may affect the bid‐ask spread patterns, while differences in market environments (i.e. US and UK markets) seems to affect the trading volume pattern. The paper suggests avenues for future research, in particular, the need to consider what factors are significant in determining intra day patterns for different trading systems and the need for additional cross‐market comparisons to identify how institutional factors affect the behaviour of investors on an intra day basis.

Suggested Citation

  • Charlie X. Cai & Robert Hudson & Kevin Keasey, 2004. "Intra Day Bid‐Ask Spreads, Trading Volume and Volatility: Recent Empirical Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 647-676, June.
    • Handle: RePEc:bla:jbfnac:v:31:y:2004:i:5-6:p:647-676
    DOI: 10.1111/j.0306-686X.2004.00552.x
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    References listed on IDEAS

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    Cited by:

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    2. Evans, Kevin P. & Speight, Alan E.H., 2010. "Intraday periodicity, calendar and announcement effects in Euro exchange rate volatility," Research in International Business and Finance, Elsevier, vol. 24(1), pages 82-101, January.
    3. Xu, Yanyan & Huang, Dengshi & Ma, Feng & Qiao, Gaoxiu, 2019. "The heterogeneous impact of liquidity on volatility in Chinese stock index futures market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 73-85.
    4. Andreas Park, 2008. "Bid-Ask Spreads and Volume:The Role of Trade Timing," Working Papers tecipa-309, University of Toronto, Department of Economics.
    5. Shimeng Shi & Yukun Shi, 2021. "Bitcoin futures: trade it or ban it?," The European Journal of Finance, Taylor & Francis Journals, vol. 27(4-5), pages 381-396, March.
    6. Angelidis, Timotheos & Andrikopoulos, Andreas, 2010. "Idiosyncratic risk, returns and liquidity in the London Stock Exchange: A spillover approach," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 214-221, June.
    7. Chelley-Steeley, Patricia & Park, Keebong, 2011. "Intraday patterns in London listed Exchange Traded Funds," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 244-251.
    8. Isa E. Hafalir & Serkan Imisiker, 2022. "Call Auctions with Contingent Orders," Games, MDPI, vol. 13(5), pages 1-8, September.
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    10. Katya Malinova & Andreas Park, 2009. "Intraday Trading Patterns: The Role of Timing," Working Papers tecipa-365, University of Toronto, Department of Economics.
    11. B.B. Chakrabarti & Vivek Rajvanshi, 2017. "Intraday Periodicity and Volatility Forecasting: Evidence from Indian Crude Oil Futures Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 16(1), pages 1-28, April.
    12. Miralles-Quirós, José Luis & Daza-Izquierdo, Julio, 2015. "Do DOW returns really influence the intraday Spanish stock market behavior?," Research in International Business and Finance, Elsevier, vol. 33(C), pages 99-126.
    13. Su, Fei & Wang, Xinyi & Yuan, Yulin, 2022. "The intraday dynamics and intraday price discovery of bitcoin," Research in International Business and Finance, Elsevier, vol. 60(C).
    14. Liu, Qingfu & Hua, Renhai & An, Yunbi, 2016. "Determinants and information content of intraday bid-ask spreads: Evidence from Chinese commodity futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 135-148.
    15. Carol Alexander & Daniel Heck & Andreas Kaeck, 2021. "The Role of Binance in Bitcoin Volatility Transmission," Papers 2107.00298, arXiv.org, revised Aug 2021.
    16. Kim, Yong H. & Yang, J. Jimmy, 2008. "The effect of price limits on intraday volatility and information asymmetry," Pacific-Basin Finance Journal, Elsevier, vol. 16(5), pages 522-538, November.
    17. Koubaa, Yosra & Slim, Skander, 2019. "The relationship between trading activity and stock market volatility: Does the volume threshold matter?," Economic Modelling, Elsevier, vol. 82(C), pages 168-184.
    18. Charlie X. Cai & David Hillier & Robert Hudson & Kevin Keasey, 2008. "Trading Frictions and Market Structure: An Empirical Analysis," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(3‐4), pages 563-579, April.
    19. Wang, Jying-Nan & Liu, Hung-Chun & Hsu, Yuan-Teng, 2020. "Time-of-day periodicities of trading volume and volatility in Bitcoin exchange: Does the stock market matter?," Finance Research Letters, Elsevier, vol. 34(C).
    20. Jonathan Batten & Brian Lucey & Frank McGroarty & Maurice Peat & Andrew Urquhart, 2017. "Stylized facts of intraday precious metals," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-21, April.
    21. Andros Gregoriou & Christos Ioannidis & Len Skerratt, 2005. "Information Asymmetry and the Bid‐Ask Spread: Evidence From the UK," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9‐10), pages 1801-1826, November.
    22. Frank McGroarty & Owain ap Gwilym & Stephen Thomas, 2007. "The Components of Electronic Inter‐Dealer Spot FX Bid‐Ask Spreads," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(9‐10), pages 1635-1650, November.
    23. Malinova, Katya & Park, Andreas, 2014. "The impact of competition and information on intraday trading," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 55-71.

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