Do Analysts Herd? An Analysis of Recommendations and Market Reactions
This paper develops and implements a new test to investigate whether sell-side analysts herd around the consensus when they make stock recommendations. Our empirical results support the herding hypothesis. Stock price reactions following recommendation revisions are stronger when the new recommendation is away from the consensus than when it is closer to it, indicating that the market recognizes analysts' tendency to herd. We find that analysts from larger brokerages and analysts following stocks with smaller dispersion across recommendations are more likely to herd.
|Date of creation:||Jan 2007|
|Publication status:||published as Narasimhan Jegadeesh & Woojin Kim, 2010. "Do Analysts Herd? An Analysis of Recommendations and Market Reactions," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 23(2), pages 901-937, February.|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
Web page: http://www.nber.org
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- Narasimhan Jegadeesh & Joonghyuk Kim & Susan D. Krische & Charles M. C. Lee, 2004. "Analyzing the Analysts: When Do Recommendations Add Value?," Journal of Finance, American Finance Association, vol. 59(3), pages 1083-1124, 06.
- 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.
- Jaffe, Jeffrey F. & Mahoney, James M., 1999. "The performance of investment newsletters," Journal of Financial Economics, Elsevier, vol. 53(2), pages 289-307, August. Full references (including those not matched with items on IDEAS)
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