Earnings Predictability And Broker-Analysts’ Earnings Forecast Bias

Authors

  • Michael Eames Santa Clara University
  • Steven Glover Brigham Young University

Keywords:

Earnings Predictability, Earnings Forecast Bias

Abstract

Scholars have reasoned that analysts issue optimistic forecasts to improve their access to managers’ private information when earnings are unpredictable. While this requires a managerial preference for analyst forecast optimism, the observed walk-down of analyst expectations to beatable forecasts is consistent with a managerial preference for pessimism in short-horizon forecasts. Using data from various sample periods, alternative model specifications, and various measures of earnings unpredictability, we find that pessimism, not optimism, in short-horizon forecasts is associated with increasingly unpredictable earnings. Our results suggest that firms can more effectively manage analysts’ earnings expectations downward when earnings are relatively unpredictable.

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Published

2017-11-01

How to Cite

Eames, M., & Glover, S. (2017). Earnings Predictability And Broker-Analysts’ Earnings Forecast Bias. Journal of Applied Business Research, 33(6). Retrieved from https://journals.klalliance.org/index.php/JABR/article/view/358

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Articles