We show analytically that mean analyst forecasts inefficiently aggregate information by assigning too much weight to analysts' common information relative to their private information when used as a summary forecast measure of forthcoming earnings. A more precise summary forecast of earnings than the current mean forecast is the current mean forecast plus a positive multiple of the change in the mean forecast.
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Kent State Univ, Dept Accounting, Kent, OH 44242 USAKent State Univ, Dept Accounting, Kent, OH 44242 USA
Barniv, Ran Ron
Chen, Min
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San Francisco State Univ, Dept Accounting, San Francisco, CA 94132 USAKent State Univ, Dept Accounting, Kent, OH 44242 USA
Chen, Min
Li, We
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Kent State Univ, Dept Accounting, Kent, OH 44242 USA
Southwest Jiaotong Univ, Chengdu, Peoples R ChinaKent State Univ, Dept Accounting, Kent, OH 44242 USA