Analysts' Forecasts as Earnings Expectations

By P. O'Brien. 2011

393 citations recorded by the source corpus.

Abstract I examine three composite analyst forecast of earnings per share as proxies for expected earnings. The most current forecast weakly dominates the mean and median forecasts in accuracy. This is evidence that forecast dates are more relevant for determining accuracy than individual error. Consistent with previous research, I find analysts more accurate than time-series models. However prior knowledge of forecast errors from a quarterly autoregressive model predicts excess stock returns better than prior knowledge of analysts' errors. This is inconsistent with previous research, and is anomalous given analysts' greater accuracy.

Subfields: Accounting, Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/0926d397376aa9bd72b4481791e0bbcfd8e062e2

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In Accounting

  1. Andrew C. Call
  2. Y. H. Tong
  3. Shuping Chen
  4. Eric C. So

In Economics and Econometrics

  1. Shuping Chen
  2. Eric C. So
  3. Y. H. Tong
  4. Andrew C. Call

In Finance

  1. Andrew C. Call
  2. Y. H. Tong
  3. Shuping Chen
  4. Eric C. So

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