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An Empirical Model of Stock Analysts' Recommendations: Market Fundamentals, Conflicts of Interest, and Peer Effects

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  • Patrick Bajari
  • John Krainer

Abstract

In this paper we develop an empirical model of equity analyst recommendations for firms in the NASDAQ 100 during 1998-2003. In the model we allow recommendations to depend on publicly observed information, measures of an analyst's beliefs about a stock's future earnings, investment banking activity, and peer group effects which determine industry norms. To address the reflection problem, we propose a new approach to identification and estimation of models with peer effects suggested by recent work on estimating games. Our empirical results suggest that recommendations depend most heavily on publicly observable information about the stocks and on industry norms. In most of our specifications, the existence of an investment banking deal does not have a statistically significant relationship with analysts' stock recommendations.

Suggested Citation

  • Patrick Bajari & John Krainer, 2004. "An Empirical Model of Stock Analysts' Recommendations: Market Fundamentals, Conflicts of Interest, and Peer Effects," NBER Working Papers 10665, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:10665
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    References listed on IDEAS

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    7. Patrick Bajari & Han Hong & Stephen P. Ryan, 2010. "Identification and Estimation of a Discrete Game of Complete Information," Econometrica, Econometric Society, vol. 78(5), pages 1529-1568, September.
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    15. Andrew Sweeting, 2005. "Coordination Games, Multiple Equilibria and the Timing of Radio Commercials," 2005 Meeting Papers 490, Society for Economic Dynamics.
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    Cited by:

    1. Harris, Jeffrey E. & González López-Valcárcel, Beatriz, 2008. "Asymmetric peer effects in the analysis of cigarette smoking among young people in the United States, 1992-1999," Journal of Health Economics, Elsevier, vol. 27(2), pages 249-264, March.
    2. Mehran, Hamid & Stulz, Rene M., 2007. "The economics of conflicts of interest in financial institutions," Journal of Financial Economics, Elsevier, vol. 85(2), pages 267-296, August.
    3. Patrick Bajari & Han Hong & Stephen P. Ryan, 2010. "Identification and Estimation of a Discrete Game of Complete Information," Econometrica, Econometric Society, vol. 78(5), pages 1529-1568, September.
    4. Schanne, Norbert, 2012. "The formation of experts' expectations on labour markets : do they run with the pack?," IAB-Discussion Paper 201225, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Kam C. Chan & Xuanyu Jiang & Donghui Wu & Nianhang Xu & Hong Zeng, 2020. "When Is the Client King? Evidence from Affiliated‐Analyst Recommendations in China's Split‐Share Reform," Contemporary Accounting Research, John Wiley & Sons, vol. 37(2), pages 1044-1072, June.
    6. Patrick Bajari & Han Hong, 2006. "Semiparametric Estimation of a Dynamic Game of Incomplete Information," NBER Technical Working Papers 0320, National Bureau of Economic Research, Inc.

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    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

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