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Analyst responsiveness and the post-earnings-announcement drift

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  • Zhang, Yuan
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    Abstract

    This study examines the responsiveness of analyst forecasts to current earnings announcements. The results show considerable cross-sectional variation in analyst responsiveness and suggest that this variation is related to the costs and benefits associated with prompt forecast revisions. More importantly, this study finds that with responsive forecast revisions, more of the market reaction takes place in the event window and less in the drift window, suggesting that analyst responsiveness mitigates the post-earnings-announcement drift and facilitates market efficiency.

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    File URL: http://www.sciencedirect.com/science/article/B6V87-4SG4HH1-1/2/43dd662b2bc6df547c7e84f31bf590fa
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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Accounting and Economics.

    Volume (Year): 46 (2008)
    Issue (Month): 1 (September)
    Pages: 201-215

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    Handle: RePEc:eee:jaecon:v:46:y:2008:i:1:p:201-215

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    Web page: http://www.elsevier.com/locate/jae

    Related research

    Keywords: Analyst responsiveness Post-earnings-announcement drift Market efficiency;

    References

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    1. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. " Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
    2. Irvine, Paul J., 2003. "The incremental impact of analyst initiation of coverage," Journal of Corporate Finance, Elsevier, vol. 9(4), pages 431-451, September.
    3. Eugene F. Fama, . "Market Efficiency, Long-term Returns, and Behavioral Finance," CRSP working papers 340, Center for Research in Security Prices, Graduate School of Business, University of Chicago.
    4. Nicholas Barberis & Andrei Shleifer & Robert W. Vishny, 1997. "A Model of Investor Sentiment," NBER Working Papers 5926, National Bureau of Economic Research, Inc.
    5. Ivkovic, Zoran & Jegadeesh, Narasimhan, 2004. "The timing and value of forecast and recommendation revisions," Journal of Financial Economics, Elsevier, vol. 73(3), pages 433-463, September.
    6. Harrison Hong & Terence Lim & Jeremy C. Stein, 1998. "Bad News Travels Slowly: Size, Analyst Coverage and the Profitability of Momentum Strategies," NBER Working Papers 6553, National Bureau of Economic Research, Inc.
    7. Bernard, Victor L. & Thomas, Jacob K., 1990. "Evidence that stock prices do not fully reflect the implications of current earnings for future earnings," Journal of Accounting and Economics, Elsevier, vol. 13(4), pages 305-340, December.
    8. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2003. "The effect of experience on security analyst underreaction," Journal of Accounting and Economics, Elsevier, vol. 35(1), pages 101-116, April.
    9. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    10. Brown, Lawrence D., 1991. "Forecast selection when all forecasts are not equally recent," International Journal of Forecasting, Elsevier, vol. 7(3), pages 349-356, November.
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    Cited by:
    1. Kim, Yongtae & Lobo, Gerald J. & Song, Minsup, 2011. "Analyst characteristics, timing of forecast revisions, and analyst forecasting ability," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2158-2168, August.
    2. Ruben M.T. Peixinho & Richard J. Taffler, 2011. "Are analysts misleading investors? The case of goingconcern opinions," CEFAGE-UE Working Papers 2011_22, University of Evora, CEFAGE-UE (Portugal).
    3. Marie C. Blouin, 2012. "Does other information improve the usefulness of management earnings forecasts for analysts?," Review of Accounting and Finance, Emerald Group Publishing, vol. 1(1), pages 93-112, February.

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