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Soft information in earnings announcements: news or noise? Author info | Abstract | Publisher info | Download info | Related research | Statistics Elizabeth Demers
Clara Vega
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This paper examines whether the "soft" information contained in the text of management's quarterly earnings press releases is incrementally informative over the company's reported "hard" earnings news. We use Diction, a textual-analysis program, to extract various dimensions of managerial net optimism from more than 20,000 corporate earnings announcements over the period 1998 to 2006 and document that unanticipated net optimism in managers' language affects announcement period abnormal returns and predicts post-earnings announcement drift. We find that it takes longer for the market to understand the implications of soft information than those of hard information. We also find that the market response varies by firm size, turnover, media and analyst coverage, and the extent to which the standard accounting model captures the underlying economics of the firm. We also show that the second moment of soft information, the level of certainty in the text, is an important determinant of contemporaneous idiosyncratic volatility, and it predicts future idiosyncratic volatility.
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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series International Finance Discussion Papers with number
951.
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Date of creation: 2008Date of revision:
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Keywords: Corporate profits ; Disclosure of information ; This paper has been announced in the following NEP Reports :
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
David O. Lucca & Francesco Trebbi, 2009.
"Measuring Central Bank Communication: An Automated Approach with Application to FOMC Statements ,"
NBER Working Papers
15367, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted)
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