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The Cross-Section of Analyst Recommendations

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  • Sorescu, Sorin
  • Subrahmanyam, Avanidhar

Abstract

We analyze the relation between analyst attributes (years of experience, reputation of the analysts’ brokerage houses) and the short- and long-term price reactions to recommendations made by the analysts. We find that in the long-term, the recommendation changes of highly experienced analysts outperform those of low-experience ones. In addition, investors appear to overreact to dramatic upgrades of low-ability analysts, and underreact to small upgrades by high-ability analysts. These results are consistent with the Griffin and Tversky (1992) argument that agents place too much emphasis on the strength of the signal (the dramatic nature of the event) and insufficient emphasis on the weight (the ability of the analyst making the recommendation). The study helps promote an understanding of the analyst industry and its interaction with the investing population.

Suggested Citation

  • Sorescu, Sorin & Subrahmanyam, Avanidhar, 2004. "The Cross-Section of Analyst Recommendations," University of California at Los Angeles, Anderson Graduate School of Management qt76x8k0cc, Anderson Graduate School of Management, UCLA.
  • Handle: RePEc:cdl:anderf:qt76x8k0cc
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    6. Michaely, Roni & Womack, Kent L, 1999. "Conflict of Interest and the Credibility of Underwriter Analyst Recommendations," Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 653-686.
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    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. Dimson, Elroy & Marsh, Paul R, 1984. " An Analysis of Brokers' and Analysts' Unpublished Forecasts of UK Stock Returns," Journal of Finance, American Finance Association, vol. 39(5), pages 1257-1292, December.
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    Cited by:

    1. : Constantinos Antoniou & : Glenn W. Harrison & : Morten I. Lau & : Daniel Read, 2013. "Revealed Preference and the Strength/Weight Hypothesis," Working Papers wpn13-03, Warwick Business School, Finance Group.
    2. Narasimhan Jegadeesh & Woojin Kim, 2010. "Do Analysts Herd? An Analysis of Recommendations and Market Reactions," Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 901-937, February.
    3. repec:hal:journl:dumas-00934606 is not listed on IDEAS
    4. Porteu de la Morandière, Laurence, 2012. "Les classements des analystes financiers européens sont-ils informatifs pour les investisseurs ?," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/9727 edited by Gresse, Carole.
    5. Kaplanski, Guy & Levy, Haim, 2017. "Analysts and sentiment: A causality study," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 315-327.
    6. Sébastien GALANTI & Zahra BEN BRAHAM, 2013. "Recommendation Value on an Emerging Market: the Impact of Financial Analysts Recommendations on Stock Price and Trading Volume in Tunisia," LEO Working Papers / DR LEO 1393, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    7. Perotti, Pietro & Rindi, Barbara, 2010. "Market makers as information providers: The natural experiment of STAR," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 895-917, December.
    8. Loh, Roger, 2008. "Investor Attention and the Underreaction to Stock Recommendations," Working Paper Series 2008-2, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    9. repec:cup:jfinqa:v:52:y:2017:i:02:p:737-750_00 is not listed on IDEAS
    10. Antoniou, Constantinos & Harrison, Glenn W. & Lau, Morten I. & Read, Daniel, 2017. "Information Characteristics and Errors in Expectations: Experimental Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(02), pages 737-750, April.
    11. repec:eee:corfin:v:45:y:2017:i:c:p:104-121 is not listed on IDEAS
    12. Premti, Arjan & Garcia-Feijoo, Luis & Madura, Jeff, 2017. "Information content of analyst recommendations in the banking industry," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 35-47.
    13. Bosquet, K. & de Goeij, P. C. & Smedts, K., 2009. "Coexistence and Dynamics of Overconfidence and Strategic Incentives," Discussion Paper 2009-81, Tilburg University, Center for Economic Research.
    14. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    15. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    16. : Constantinos Antoniou & Emilios Galariotis & Daniel Read, 2012. "Ambiguity Aversion, Company Size and the Pricing of Earnings Forecasts," Working Papers wpn12-01, Warwick Business School, Finance Group.
    17. Bosquet, Katrien & de Goeij, Peter & Smedts, Kristien, 2014. "Gender heterogeneity in the sell-side analyst recommendation issuing process," Finance Research Letters, Elsevier, vol. 11(2), pages 104-111.
    18. Zahra Ben Braham & Sébastien Galanti, 2014. "Recommendation Value on an Emerging Market: the Impact of Analyst' Recommendations on Stock Prices and Trading Volumes in Tunisia," Working Papers halshs-01015380, HAL.

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