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- W3124083221 abstract "ABSTRACT We document a counter‐intuitive finding regarding analyst forecasts of quarterly earnings per share (EPS): magnitudes of deviations from benchmarks—individual forecasts versus consensus (dispersion) and consensus versus actual (forecast error)—do not vary with scale. Seasonally differenced EPS, or time‐series forecast error, also exhibits substantial lack of variation with scale, but only for firms followed by analysts. This lack of variation with scale is not observed for analyst and time‐series forecasts for (a) EPS for some countries, (b) sales and cash flows for all countries, and (c) stock splits. We propose and investigate different explanations for these puzzling regularities that have important implications for practice and research. We believe the cause is managerial smoothing of EPS designed to reduce across‐firm variation in EPS volatility." @default.
- W3124083221 created "2021-02-01" @default.
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- W3124083221 date "2010-11-16" @default.
- W3124083221 modified "2023-10-16" @default.
- W3124083221 title "Why Do EPS Forecast Error and Dispersion Not Vary with Scale? Implications for Analyst and Managerial Behavior" @default.
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- W3124083221 doi "https://doi.org/10.1111/j.1475-679x.2010.00387.x" @default.
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