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Who Trades Around Earnings Announcements? Evidence from TORQ Data

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  • Malay K. Dey
  • B. Radhakrishna (Radha)

Abstract

Using TORQ database we investigate the intra‐day trading volume reactions to earnings announcements of five trader groups, individuals, institutions, exchange members, program traders, and specialists. The results of this study indicate that institutions are most active in the immediate aftermath of an announcement. Individual investors are slow at the beginning but accumulate heavy volume afterwards and exceed institutional trading volume. We find support for Harris and Raviv (1993) and Admati and Pfleiderer (1988), who respectively argue that divergence of opinion about a public information and portfolio rebalancing cause surges in pre‐ and post‐announcement trading volume. Further we find evidence of swift and aggressive trading by informed and sophisticated institutions in the immediate aftermath of the announcement, and delayed, aggressive trading volume ‘overreaction’ by ‘slow’ and ‘overconfident’ individual investors as documented by Barber and Odean (2000 and 2002) and Daniel et al. (1998). NYSE specialists provide the bulk of the liquidity needs around earnings announcements.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:jbfnac:v:34:y:2007:i:1-2:p:269-291
    DOI: 10.1111/j.1468-5957.2006.00650.x
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    References listed on IDEAS

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    Cited by:

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    2. Steven Kaplan & Janet Samuels & Jeffrey Cohen, 2015. "An Examination of the Effect of CEO Social Ties and CEO Reputation on Nonprofessional Investors’ Say-on-Pay Judgments," Journal of Business Ethics, Springer, vol. 126(1), pages 103-117, January.
    3. Ron Kaniel & Shuming Liu & Gideon Saar & Sheridan Titman, 2012. "Individual Investor Trading and Return Patterns around Earnings Announcements," Journal of Finance, American Finance Association, vol. 67(2), pages 639-680, April.
    4. Perotti, Pietro, 2010. "Order aggressiveness as a metric to assess the usefulness of accounting information," The International Journal of Accounting, Elsevier, vol. 45(3), pages 306-333, September.
    5. 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.
    6. Chen, Zhijuan & Lin, William T. & Ma, Changfeng & Tsai, Shih-Chuan, 2014. "Liquidity provisions by individual investor trading prior to dividend announcements: Evidence from Taiwan," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 358-374.
    7. 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.
    8. Ray Ball & Lakshmanan Shivakumar, 2008. "How Much New Information Is There in Earnings?," Journal of Accounting Research, Wiley Blackwell, vol. 46(5), pages 975-1016, December.
    9. Malay Dey & Hossein Kazemi, 2008. "Bid ask spread in a competitive market with institutions and order size," Review of Quantitative Finance and Accounting, Springer, vol. 30(4), pages 433-453, May.

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