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Evidence on the Information Content of Text in Analyst Reports
Author(s) -
Allen Huang,
Amy Zang,
Rong Zheng
Publication year - 2014
Publication title -
the accounting review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.678
H-Index - 156
eISSN - 1558-7967
pISSN - 0001-4826
DOI - 10.2308/accr-50833
Subject(s) - earnings , stock (firearms) , accounting , business , value (mathematics) , sample (material) , predictive value , actuarial science , psychology , computer science , history , medicine , chemistry , archaeology , chromatography , machine learning
We document that textual discussions in a sample of 363,952 analyst reports provide information to investors beyond that in the contemporaneously released earnings forecasts, stock recommendations, and target prices, and also assist investors in interpreting these signals. Cross-sectionally, we find that investors react more strongly to negative than to positive text, suggesting that analysts are especially important in propagating bad news. Additional evidence indicates that analyst report text is more useful when it places more emphasis on nonfinancial topics, is written more assertively and concisely, and when the perceived validity of other information signals in the same report is low. Finally, analyst report text is shown to have predictive value for future earnings growth in the subsequent five years.

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