Bull´s Eye?: Träffsäkerheten i analytikers prognoser
Independent thesis Advanced level (degree of Magister)Student thesisAlternative title
Bull´s Eye? : Forecasting ability of analysts (English)
Background: An evaluation of analysts´ forecasting ability is interesting since their estimates constitute an important part in stock valuation and investment decisions. The recent years´ development in the stock market has lead to criticism of analysts’ deficient forecasts.
Purpose: The purpose of this thesis is to evaluate analysts´ forecasting ability concerning companies quoted at Stockholmsbörsen between 1987 and 2002. We also intend to discuss possible explanations for analysts’ behavior in case of deficient accuracy.
Method: Regression analysis is used to compare consensus estimates of earnings per share to actual earnings per share. We attempt to investigate the existence of a relation between forecasting ability and forecast horizon, the volatility at Stockholmsbörsen and the industry in which the firm operates. Behavioral finance and economic incentives is used to discuss the most convincing explanations to analysts´ behavior in cases of deficient accuracy.
Result: The study indicates over optimistic forecasts and overreaction to earnings information. Analysts tend to give more accurate forecasts closer to earnings announcement. We believe that herding, economic incentives and the fact that analysts get information from the company explains a significant part of analysts’ behavior. In addition, the study shows a possible relation between more accurate forecasts and lower volatility. Concerning industries we find stronger overreaction in healthcare and heavy industry. The study shows the most exceptional optimism in consumer goods/services and IT/telecom.
Place, publisher, year, edition, pages
Ekonomiska institutionen , 2004.
Master Thesis in Business Administration (Magisteruppsats från Ekonomprogrammet), 2004:27
Business and economics, Analyst, earnings forecast, volatility, behavioral finance
Economics and Business
IdentifiersURN: urn:nbn:se:liu:diva-2520OAI: oai:DiVA.org:liu-2520DiVA: diva2:19855