2006
DOI: 10.1017/s002210900000243x
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Analysts, Industries, and Price Momentum

Abstract: This paper examines the value of analysts as industry specialists. We show analysts create value in their recommendations mainly through their ability to rank stocks within industries. An industry-based recommendation strategy substantially improves the return to risk ratio and reduces price momentum tilt relative to portfolios that ignore industry information. An examination of the links among analyst information, aggregated at the industry level, and industry returns and industry momentum shows that industry… Show more

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Cited by 334 publications
(239 citation statements)
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References 21 publications
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“…Following a large positive return, the average daily recommendation change is 0.000. 12 This difference in analyst response across positive and negative returns is consistent with the evidence presented in Boni and Womack (2006) in this issue and suggests that the multivariate analysis should be conducted separately for positive and negative return observations.…”
Section: B Univariate Analysissupporting
confidence: 66%
“…Following a large positive return, the average daily recommendation change is 0.000. 12 This difference in analyst response across positive and negative returns is consistent with the evidence presented in Boni and Womack (2006) in this issue and suggests that the multivariate analysis should be conducted separately for positive and negative return observations.…”
Section: B Univariate Analysissupporting
confidence: 66%
“…Mikhail, et al 2004, Boni andWomack 2006). Thus if there are substantially overlap in analyst coverage between two firms, these firms are likely peer firms to each other.…”
Section: Analyst Co-coveragementioning
confidence: 99%
“…In my triple-difference specification, this measure is represented by an indicator that equals 1 for observations that belong in a tech industry, and 0 otherwise. 5 The second measure is issuer age, assuming that issuances from younger issuers are more difficult to value due to the lack of an operating history. I measure the age of an issuer at its public offering as the difference between the issuer's founding year, obtained from Jay…”
Section: Underpricing and Valuation Risk Measuresmentioning
confidence: 99%
“…Column (5) reports triple-difference coefficient dynamics. Event years 2002 and 2003 are excluded in the regression samples in column (1)- (4), and included in the regression sample in column (5). Panel B reports regression results using the second valuation risk measure, namely, issuer age.…”
Section: Issuer Agementioning
confidence: 99%