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Optimism pattern of all-star analysts

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  • Krolikowski, Marcin W.
  • Chen, Gaole
  • Mohr, Joseph E.

Abstract

This paper studies what drives the change in optimism among all-star analysts. Using unique hand collected data for the entire career of all-star analysts, the paper discovers the optimism patterns in their forecasts and recommendations. One the one hand, while analysts tend to issue more optimistic estimate forecasts, they are less likely to issue optimistic recommendations after becoming all-stars. On the other hand, analysts appear to be less optimistic in terms of both estimates and recommendations after being eliminated from the all-star list. The results are significant controlling for forecast accuracy, firm coverage, and job separation effect. This is the first study to look at both the optimism pattern of all-star analysts, and the effect of demotion from all-star team on analyst optimism.

Suggested Citation

  • Krolikowski, Marcin W. & Chen, Gaole & Mohr, Joseph E., 2016. "Optimism pattern of all-star analysts," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 222-228.
    • Handle: RePEc:eee:finana:v:47:y:2016:i:c:p:222-228
    DOI: 10.1016/j.irfa.2016.08.003
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    References listed on IDEAS

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    1. Yonca Ertimur & Jayanthi Sunder & Shyam V. Sunder, 2007. "Measure for Measure: The Relation between Forecast Accuracy and Recommendation Profitability of Analysts," Journal of Accounting Research, Wiley Blackwell, vol. 45(3), pages 567-606, June.
    2. O'brien, Patricia C., 1988. "Analysts' forecasts as earnings expectations," Journal of Accounting and Economics, Elsevier, vol. 10(1), pages 53-83, January.
    3. Mola, Simona & Guidolin, Massimo, 2009. "Affiliated mutual funds and analyst optimism," Journal of Financial Economics, Elsevier, vol. 93(1), pages 108-137, July.
    4. Butler, Kc & Lang, Lhp, 1991. "The Forecast Accuracy Of Individual Analysts - Evidence Of Systematic Optimism And Pessimism," Journal of Accounting Research, Wiley Blackwell, vol. 29(1), pages 150-156.
    5. Clement, Michael B., 1999. "Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter?," Journal of Accounting and Economics, Elsevier, vol. 27(3), pages 285-303, July.
    6. Zwiebel, Jeffrey, 1995. "Corporate Conservatism and Relative Compensation," Journal of Political Economy, University of Chicago Press, vol. 103(1), pages 1-25, February.
    7. Harrison Hong & Jeffrey D. Kubik & Amit Solomon, 2000. "Security Analysts' Career Concerns and Herding of Earnings Forecasts," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 121-144, Spring.
    8. Clarke, Jonathan & Khorana, Ajay & Patel, Ajay & Rau, P. Raghavendra, 2007. "The impact of all-star analyst job changes on their coverage choices and investment banking deal flow," Journal of Financial Economics, Elsevier, vol. 84(3), pages 713-737, June.
    9. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    10. Harrison Hong & Jeffrey D. Kubik, 2003. "Analyzing the Analysts: Career Concerns and Biased Earnings Forecasts," Journal of Finance, American Finance Association, vol. 58(1), pages 313-351, February.
    11. Gilles Hilary & Charles Hsu, 2013. "Analyst Forecast Consistency," Journal of Finance, American Finance Association, vol. 68(1), pages 271-297, February.
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    Cited by:

    1. Wu, Yanran & Liu, Tingting & Han, Liyan & Yin, Libo, 2018. "Optimistic bias of analysts' earnings forecasts: Does investor sentiment matter in China?," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 147-163.

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