While consensus estimates are useful tools to start your earnings analysis, by nature they are not supremely accurate. In this nine-page white paper, members of FactSet’s Estimates department discuss how to improve consensus estimate accuracy and avoid earnings surprises. While many methods can be used to improve consensus estimate accuracy, tests using FactSet Estimates data show a high correlation between specific revision patterns and the direction of surprise.
Download the Accurately Predicting Earnings Surprise Through Sharp Consensus Estimates white paper, to learn how monitoring patterns among analysts to determine when new information has entered the market can help you more accurately predict the direction of the surprise, draw conclusions as to which analysts are incorporating current information within their models, and be more aware of events affecting EPS and sales forecasts for a given company.
Complete the form to download the white paper: Accurately Predicting Earnings Surprise Through Sharp Consensus Estimates.