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Do Analysts Herd? An Analysis of Recommendations and Market Reactions


Narasimhan Jegadeesh


Emory University - Department of Finance

Woojin Kim


Seoul National University - Business School

January 2008


Abstract:     
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.

Number of Pages in PDF File: 46

Keywords: herding, market efficiency, private information

JEL Classification: G14, G20, D82, D83

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Date posted: March 25, 2008  

Suggested Citation

Jegadeesh, Narasimhan and Kim, Woojin, Do Analysts Herd? An Analysis of Recommendations and Market Reactions (January 2008). Available at SSRN: http://ssrn.com/abstract=1107419 or http://dx.doi.org/10.2139/ssrn.1107419

Contact Information

Narasimhan Jegadeesh (Contact Author)
Emory University - Department of Finance ( email )
Atlanta, GA 30322-2710
United States
Woojin Kim
Seoul National University - Business School ( email )
Seoul, 151-916
Korea
82-2-880-5831 (Phone)
HOME PAGE: http://cba.snu.ac.kr/en/faculty?mode=view&memberidx=60582&major=6
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