2012
DOI: 10.1016/j.jacceco.2011.11.001
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A new measure of earnings forecast uncertainty

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Cited by 42 publications
(57 citation statements)
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References 25 publications
(25 reference statements)
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“…Lahiri and Sheng (2010) and Sheng and Thevenot (2012) provide evidence suggesting that dispersion approximates earnings forecast uncertainty for short-horizon forecasts, the forecasts we consider in this study.…”
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confidence: 80%
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“…Lahiri and Sheng (2010) and Sheng and Thevenot (2012) provide evidence suggesting that dispersion approximates earnings forecast uncertainty for short-horizon forecasts, the forecasts we consider in this study.…”
mentioning
confidence: 80%
“…A clear advantage of dispersion is that it is an ex ante measure and available in real-time (Sheng and Thevenot 2012). Other proxies, such as realized earnings volatility, rely on time-series data and result in stale measures of Footnote 12 continued (i.e., share price).…”
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confidence: 99%
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“…Landsman et al (2012) also look at how earnings announcements affect the stock market, where these authors focus on how mandatory IFRS adoption has influenced this effect. Sheng and Thevenot (2012) propose a new earnings forecast uncertainty measure, which they use to demonstrate that forecasters focus more on the information in the earnings announcement if there is high uncertainty in the existing set of earnings forecasts.…”
Section: Literature Reviewmentioning
confidence: 99%
“…One of the main reasons for this ambiguity is that we only have indirect measures for divergence of opinion (Garfinkel, 2009) (Barron et al, 1998;Sheng and Thevenot, 2012). In line with these concerns, Doukas et al (2006) These drawbacks make it difficult to conclude whether evidence rejecting (or supporting) Miller's (1977) hypothesis is due to the theory itself, or the proxy used.…”
Section: Resultsmentioning
confidence: 99%