A multivariate analysis of annual earnings forecasts generated from quarterly forecasts of financial analysts and univariate time series models
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Author
Contributions
- Collins, William A. joint author - Contributor
- University of Illinois at Urbana-Champaign. College of Commerce and Business Administration - Contributor
Publication
1979 - College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, Urbana, Ill., Illinois
Language
English
Word Count
6,750 words, Guess
Page Count
27 pages
Identifiers
- Internet Archivemultivariateanal561hopw
- OCLC Control Number5316552
- Open LibraryOL24832143M
Alternate Titles
- Earnings forecasts.
Description
"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."
Subjects
Series Statement
- Faculty working papers -- no. 561
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