Analyst Optimism and the Magnitude of Earnings Growth
Richard Harris
Abstract
Richard Harris
Abstract
This papaer evaluates analysts' consensus long run earnings growth forecasts. It is shown that the correlation between forecast earnings growth and actual earnings growth is extremely low. Consistent with other studies, forecast earnings growth is found to be too optimistic. This is illustrated by the fact that almost all earnings growth forecasts are positive, while actual earnings growth is more evenly distributed between positive and negative values. For the sample of companies for which actual earnings growth is positive, there is a stron positive correlation between forecast earnings growth and actual earnings growth. In sharp contrast for a sample of companies for which actual earnings growth is negative, there is a strong inverse correlation between forecast earnings growth and actual earnings growth. This suggests that analysts are to some extendt able to forecast the magnitude of earnings growth but not its sign. It is further shown that analysts' forecasts of long run earnings growth are incorporated into the market's expectation of future earnings growth. However, there is evidence that the market attaches more weight to forecasts that have the correct sign, even though the sign of the actual earnings growth is not known at that datae that the forecast is made.
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This papaer evaluates analysts' consensus long run earnings growth forecasts. It is shown that the correlation between forecast earnings growth and actual earnings growth is extremely low. Consistent with other studies, forecast earnings growth is found to be too optimistic. This is illustrated by the fact that almost all earnings growth forecasts are positive, while actual earnings growth is more evenly distributed between positive and negative values. For the sample of companies for which actual earnings growth is positive, there is a stron positive correlation between forecast earnings growth and actual earnings growth. In sharp contrast for a sample of companies for which actual earnings growth is negative, there is a strong inverse correlation between forecast earnings growth and actual earnings growth. This suggests that analysts are to some extendt able to forecast the magnitude of earnings growth but not its sign. It is further shown that analysts' forecasts of long run earnings growth are incorporated into the market's expectation of future earnings growth. However, there is evidence that the market attaches more weight to forecasts that have the correct sign, even though the sign of the actual earnings growth is not known at that datae that the forecast is made.
Key concepts: Earnings growth, Earnings, Earnings response coefficient, Economics, Econometrics, Optimism, Post-earnings-announcement drift, Price–earnings ratio