The Inefficiency of the Mean Analyst Forecast as a Summary Forecast of Earnings

We show analytically that mean analyst forecasts inefficiently aggregate information by assigning too much weight to analysts' common information relative to their private information when used as a summary forecast measure of forthcoming earnings. A more precise summary forecast of earnings than the current mean forecast is the current mean forecast plus a positive multiple of the change in the mean forecast.