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Individual differences and analyst forecast accuracy

Author

Listed:
  • Ting Luo
  • Wenjuan Xie

Abstract

Purpose - The purpose of this study is to examine the impact of unidentifiable individual differences among financial analysts on the cross section of their earnings forecast accuracy. Design/methodology/approach - The paper employs the concept of analyst fixed effects to control for unidentifiable individual differences. Various psychological factors, such as decision style and personality traits, are documented to impact individuals' decision making. However, analysts' individual differences in such psychological factors are not captured by identifiable personal attributes employed in finance literature, such as years of experience. The methodology used addresses this issue and presents a more comprehensive study of analyst forecast accuracy. Findings - The paper documents that unidentifiable analyst‐specific effects are significant, and that controlling for them improves model fitting and changes the explanatory power of some of the traditionally used independent variables in the literature. The paper confirms that the analyst's firm‐specific experience, the intensity of following that a firm receives, and the forecast horizon are all significantly and consistently related to forecast accuracy. However, it is found that analyst general experience and coverage complexity lose explanatory power when individual differences are controlled for. Analyst general experience is not monotonically associated with better accuracy and that analysts only benefit from increased general experience during the early to middle stages of their career. Finally, when analysts' individual differences are controlled for, the boldness of a forecast revision is not associated with the improvement of accuracy. Research limitations/implications - The documented non‐monotonic relationship between analyst general experience and forecast accuracy is explained as a result of U‐shaped self‐efficacy, decision style and career concerns. This observation is not necessarily in line with the theory of analyst seniority and reputation‐related performance. Originality/value - The methodology used addresses the issue of analysts' individual differences in psychological factors and presents a more comprehensive study of analyst forecast accuracy.

Suggested Citation

  • Ting Luo & Wenjuan Xie, 2012. "Individual differences and analyst forecast accuracy," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 11(3), pages 257-278, August.
    • Handle: RePEc:eme:rafpps:v:11:y:2012:i:3:p:257-278
    DOI: 10.1108/14757701211252582
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    References listed on IDEAS

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    1. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    2. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    3. Omesh Kini & Shehzad Mian & Michael Rebello & Anand Venkateswaran, 2009. "On the Structure of Analyst Research Portfolios and Forecast Accuracy," Journal of Accounting Research, Wiley Blackwell, vol. 47(4), pages 867-909, September.
    4. Nont Dhiensiri & Akin Sayrak, 2010. "The value impact of analyst coverage," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 9(3), pages 306-331, August.
    5. Narasimhan Jegadeesh & Woojin Kim, 2010. "Do Analysts Herd? An Analysis of Recommendations and Market Reactions," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 901-937, February.
    6. Gardner, Robert, 1998. "Unobservable individual effects in unbalanced panel data," Economics Letters, Elsevier, vol. 58(1), pages 39-42, January.
    7. Isabelle Huault & V. Perret & S. Charreire-Petit, 2007. "Management," Post-Print halshs-00337676, HAL.
    8. Michael B. Clement & Senyo Y. Tse, 2005. "Financial Analyst Characteristics and Herding Behavior in Forecasting," Journal of Finance, American Finance Association, vol. 60(1), pages 307-341, February.
    9. 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.
    10. repec:bla:jfinan:v:59:y:2004:i:6:p:2871-2901 is not listed on IDEAS
    11. Yu, Fang (Frank), 2008. "Analyst coverage and earnings management," Journal of Financial Economics, Elsevier, vol. 88(2), pages 245-271, May.
    12. Pratt, J, 1982. "Post-Cognitive Structure - Its Determinants And Relationship To Perceived Information Use And Predictive Accuracy," Journal of Accounting Research, Wiley Blackwell, vol. 20(1), pages 189-209.
    13. Stickel, Scott E, 1992. "Reputation and Performance among Security Analysts," Journal of Finance, American Finance Association, vol. 47(5), pages 1811-1836, December.
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    Cited by:

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    2. Yi Dong & Nan Hu & Xu Li & Ling Liu, 2017. "Analyst Firm Coverage and Forecast Accuracy: The Effect of Regulation Fair Disclosure," Abacus, Accounting Foundation, University of Sydney, vol. 53(4), pages 450-484, December.

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