Earnings surprises that motivate analysts to reduce average forecast error

Orie E. Barron, Donal Byard, Yong Yu

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Large earnings surprises and negative earnings surprises represent more egregious errors in analysts' earnings forecasts. We find evidence consistent with our expectation that egregious forecast errors motivate analysts to work harder to develop or acquire relatively more private information in an effort to avoid future forecasting failures. Specifically, we find that after large or negative earnings surprises there is a greater reduction in the error in individual analysts' forecasts of future earnings, and these individual forecasts are based more heavily on individual analysts' private information. This increased reliance on private information reduces the error in the mean forecast of upcoming earnings (even after controlling for the effect of reduced error in individual forecasts). As reliance on private information increases, more of each individual forecast error is idiosyncratic, and thus averaged out in the computation of the mean forecast.

Original languageEnglish (US)
Pages (from-to)303-325
Number of pages23
JournalAccounting Review
Volume83
Issue number2
DOIs
StatePublished - Mar 1 2008

All Science Journal Classification (ASJC) codes

  • Accounting
  • Finance
  • Economics and Econometrics

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