Tests of the usefulness of analyst earnings forecast data in predicting bankruptcy of public corporations
By: by O. Douglas Moses
Contributors: Naval Postgraduate School (U.S.). Dept. of Administrative Sciences
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1986
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 118
Subjects: FORECASTING; STATISTICAL ANALYSIS; BANKRUPTCY
Other titles: NPS-54-86-011.
Description: This study investigate five properties of earnings forecasts made by financial analysts to      determine if systematic differences in these properties exists between failing and healthy firms.      The five properties are: The level of forecasts, forecast error, forecast bias, forecast      dispersion and revisions in forecasts. Measures reflecting the five properties are used in      models to distinguish failing and healthy firms and predict future bankruptcy. Keywords:      Statistical analysis; Multivariate models; Univariate analysis.
Notes: Cover title.

"NPS-54-86-011."

"October 1986."

AD A187 691.

Includes bibliographical references (p. 116-118).

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