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Title:A multivariate analysis of annual earnings forecasts generated from quarterly forecasts of financial analysts and univariate time series models / BEBR No.561
Author(s):Hopwood, William S.; Collins, William A.
Contributor(s):University of Illinois at Urbana-Champaign. College of Commerce and Business Administration
Subject(s):Economic forecasting -- Mathematical models.
Issue Date:Apr 26 197
Publisher:[Urbana, Ill.] : College of Commerce and Business Administration, University of Illinois at Urbana-Champaign,
Series/Report:Faculty working papers ; no. 561
Description:Includes bibliographical references (p. 26-27).
"The study compares the forecast accuracy of financial analysts, ARIMA models, and various permier models considered in the literature in the predicting of annual earnings per share. Various refinements were made of previously used methodologies. The results of the multivariate analysis indicated that financial analysts provide the most accurate forecasts. In addition, the divergence in accuracy between the various sources of forecasts tend to decrease as the end of the year approaches, while at the same time there is a general increase in accuracy. Also specific results are provided for individual model performance."
Rights Information:In copyright. Digitized with permission of the University of Illinois Board of Trustees. Contact for information.
Copyright Apr 26 1979 Board of Trustees University of Illinois.
Date Available in IDEALS:2011-09-15
Has Version(s):
Identifier in Online Catalog:337120
OCLC Identifier:(OCoLC)ocm05316552

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