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Daily Closing Inside Spreads and Trading Volumes Around Earnings Announcements

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  • Daniella Acker
  • Mathew Stalker
  • Ian Tonks

Abstract

This paper examines the determinants of inside spreads and their behaviour around corporate earning announcement dates, for a sample of UK firms over the period 1986–94. The paper finds that closing daily inside spreads are affected by order processing costs (proxied by trading volumes), inventory control costs (trading volumes and return variability) and asymmetric information (unusually high trading volumes). Inside spreads start to narrow 15 days before an earnings announcement, and narrow further by the end of the announcement day. We also identify a puzzling phenomenon. There is only a ‘sluggish’ recovery of spreads after the announcement: inside spreads continue to remain at relatively narrow levels, and take up to 90 days to recover to their pre–announcement width.

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  • Daniella Acker & Mathew Stalker & Ian Tonks, 2002. "Daily Closing Inside Spreads and Trading Volumes Around Earnings Announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 29(9‐10), pages 1149-1179.
    • Handle: RePEc:bla:jbfnac:v:29:y:2002:i:9-10:p:1149-1179
    DOI: 10.1111/1468-5957.00465
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    2. David Abad & José Yagüe & Sonia Sanabria, 2005. "Liquidity And Information Around Annual Earnings Announcements: An Intraday Analysis Of The Spanish Stock Market," Working Papers. Serie EC 2005-16, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Markku Vieru, 2003. "Use of Different Trading Environments Around Interim Earnings Announcements on the Helsinki Stock Exchange," Multinational Finance Journal, Multinational Finance Journal, vol. 7(3-4), pages 131-152, September.
    4. Sergio Bianchi & Massimiliano Frezza, 2018. "Liquidity, Efficiency and the 2007-2008 Global Financial Crisis," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 375-404, November.
    5. Staglianò, Raffaele & La Rocca, Maurizio & Gerace, Dionigi, 2018. "The impact of ownership concentration and analyst coverage on market liquidity: Comparative evidence from an auction and a specialist market," Economic Modelling, Elsevier, vol. 70(C), pages 203-214.
    6. Harris, Terry, 2017. "Earnings announcements and quoted bid-ask spreads of U.S. Bank Holding Companies," Finance Research Letters, Elsevier, vol. 20(C), pages 223-228.
    7. Malay Dey & B. Radhakrishna, 2015. "Informed trading, institutional trading, and spread," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(2), pages 288-307, April.
    8. Aaron Gilbert & Alireza Tourani-Rad & Tomasz Piotr Wisniewski, 2007. "Insiders and the law: The impact of regulatory change on insider trading," Management International Review, Springer, vol. 47(5), pages 745-766, September.
    9. 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.
    10. Jagjeev Dosanjh, 2017. "Exchange Initiatives and Market Efficiency: Evidence from the Australian Securities Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2017.
    11. Robert Stoumbos, 2023. "The Growth of Information Asymmetry Between Earnings Announcements and Its Implications for Reporting Frequency," Management Science, INFORMS, vol. 69(3), pages 1901-1928, March.
    12. Malay K. Dey & B. Radhakrishna (Radha), 2007. "Who Trades Around Earnings Announcements? Evidence from TORQ Data," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(1‐2), pages 269-291, January.
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    14. Bidisha Chakrabarty & Kenneth W. Shaw, 2008. "Hidden Liquidity: Order Exposure Strategies Around Earnings Announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(9‐10), pages 1220-1244, November.
    15. Sabet, Amir H. & Heaney, Richard, 2015. "Bid-ask spread, information asymmetry and acquisition of oil and gas assets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 77-84.
    16. 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.
    17. Ding, Mingfa & Shen, Mi & Suardi, Sandy, 2022. "Blockholders, tradability and information asymmetry: Evidence from Chinese listed firms," Research in International Business and Finance, Elsevier, vol. 60(C).
    18. Bidisha Chakrabarty & Kenneth W. Shaw, 2008. "Hidden Liquidity: Order Exposure Strategies Around Earnings Announcements," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(9-10), pages 1220-1244.
    19. Marcin Wojtowicz, 2014. "The Determinants of CDS Bid-ask Spreads," Tinbergen Institute Discussion Papers 14-138/IV/ DSF82, Tinbergen Institute.
    20. How, Janice C.Y. & Verhoeven, Peter & Huang, Caro X., 2005. "Information asymmetry surrounding earnings and dividend announcements: An intra-day analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 463-473.

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    JEL classification:

    • M4 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting
    • G1 - Financial Economics - - General Financial Markets

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