Analyst Forecast Errors as a Persistent Equity Selection Factor

Summary

This research summary examines whether analyst earnings forecast errors can help select stocks. It reports that realized forecast errors are strongly negatively associated with subsequent returns: stocks with smaller errors performed better in the described analysis. Because realized errors are only known afterward, the study emphasizes estimating errors in advance and argues that the errors persist, with stocks showing larger earlier errors tending to have larger later errors.

The summary reports that analyst disagreement is positively related to forecast error, while analyst coverage, prior share-price performance, and the degree of earnings surprise are negatively related to it. The estimated error factor reportedly showed stock-selection ability across different sample groups and retained additional information after neutralizing industry and major style exposures. However, it was negatively correlated with valuation, profitability, and growth factors. The document provides no underlying paper details, sample definitions, dates, portfolio construction, or quantitative performance statistics, so the findings cannot be independently assessed from this excerpt alone.

Key ideas

• The summary reports an inverse relationship between realized analyst forecast errors and subsequent stock returns.
• Forecast errors are described as persistent, motivating estimates based on information available before outcomes are known.
• Analyst disagreement is positively associated with forecast error, while coverage and prior returns are negatively associated.
• The estimated factor reportedly retains stock-selection information after industry and style neutralization.
• Its negative relationships with valuation, profitability, and growth factors complicate interpretation.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.