Analysts' Weighting of Private and Public Information
Using both a linear regression method and a probability-based method, we find that on average analysts place larger than efficient weights on (i.e., they over-weight) their private information when they forecast corporate earnings. We also find that analysts over-weight more when issuing forecasts more favorable than the consensus, and over-weight less, and may even under-weight, private information when issuing forecasts less favorable than the consensus.