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Who profits from trading around earnings announcements? Evidence from TORQ data

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  • Malay K Dey

    (Cotsakos School of Business, William Paterson University)

  • B Radhakrishna (Radha)

Abstract

Using the TORQ database, we investigate whether equity trading by individuals and institutions around earnings announcements generates any profit for those trader groups. We define profit as the excess return over a passive portfolio return. Our results indicate that institutional investors do not earn excess returns from trading either before or after announcements. Individuals earn weakly significant positive excess returns from their trading during the half hour before announcements, but they also suffer a significantly negative excess return from trades on the day after announcement. Institutions suffer trading loss one hour after announcements and on the day before and one day after announcements. We interpret these losses as due to the adverse price effect of trade size.

Suggested Citation

  • Malay K Dey & B Radhakrishna (Radha), 2008. "Who profits from trading around earnings announcements? Evidence from TORQ data," Journal of Asset Management, Palgrave Macmillan, vol. 9(4), pages 300-308, October.
    • Handle: RePEc:pal:assmgt:v:9:y:2008:i:4:d:10.1057_jam.2008.24
    DOI: 10.1057/jam.2008.24
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    References listed on IDEAS

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    1. Seppi, Duane J, 1990. "Equilibrium Block Trading and Asymmetric Information," Journal of Finance, American Finance Association, vol. 45(1), pages 73-94, March.
    2. Holden, Craig W & Subrahmanyam, Avanidhar, 1992. "Long-Lived Private Information and Imperfect Competition," Journal of Finance, American Finance Association, vol. 47(1), pages 247-270, March.
    3. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    4. Kim, O & Verrecchia, Re, 1991. "Trading Volume And Price Reactions To Public Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 29(2), pages 302-321.
    5. Lee, Charles M. C., 1992. "Earnings news and small traders : An intraday analysis," Journal of Accounting and Economics, Elsevier, vol. 15(2-3), pages 265-302, August.
    6. Diamond, Douglas W. & Verrecchia, Robert E., 1981. "Information aggregation in a noisy rational expectations economy," Journal of Financial Economics, Elsevier, vol. 9(3), pages 221-235, September.
    7. Harris, Lawrence, 1986. "A transaction data study of weekly and intradaily patterns in stock returns," Journal of Financial Economics, Elsevier, vol. 16(1), pages 99-117, May.
    8. Sias, Richard W & Starks, Laura T, 1997. "Institutions and Individuals at the Turn-of-the-Year," Journal of Finance, American Finance Association, vol. 52(4), pages 1543-1562, September.
    9. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    10. Brad M. Barber & Terrance Odean, 2002. "Online Investors: Do the Slow Die First?," The Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 455-488, March.
    11. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    12. Lee, Charles M. C. & Radhakrishna, Balkrishna, 2000. "Inferring investor behavior: Evidence from TORQ data," Journal of Financial Markets, Elsevier, vol. 3(2), pages 83-111, May.
    13. 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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    Cited by:

    1. Waël Louhichi, 2010. "Which trades move stock prices on Euronext Paris?," Journal of Asset Management, Palgrave Macmillan, vol. 10(6), pages 382-391, February.

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