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• W4241105439 abstract "This paper develops a test for herding in forecasts by professional financial analysts that is robust to (a) correlated information amongst analysts; (b) common unforecasted industry-wide earnings shocks; (c) information arrival over the forecasting cycle; (d) the possibility that the earnings that analysts forecast differ from what the econometrician observes; and (e) systematic optimism or pessimism among analysts. We find that forecasts are biased, but that analysts do not herd. Instead, analysts “anti-herd”: Analysts systematically issue biased contrarian forecasts that overshoot the publicly-available consensus forecast in the direction of their private information." @default.
• W4241105439 created "2022-05-12" @default.
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• W4241105439 date "2006-06-01" @default.
• W4241105439 modified "2023-10-14" @default.
• W4241105439 title "Who herds?" @default.
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• W4241105439 doi "https://doi.org/10.1016/j.jfineco.2005.07.006" @default.
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