Tests of the Usefulness of Analyst Earnings Forecast Data in Predicting Bankruptcy of Public Corporations

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NPS-54-86-011.pdf (3.62 MB)
Authors
Moses, O. Douglas
Subjects
Bankruptcy
Prediction
Earnings
Forecasts
Advisors
Date of Issue
1986-10
Date
October 1986
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
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.
Type
Technical Report
Description
URI
https://hdl.handle.net/10945/64264
Series/Report No
Department
Administrative Sciences
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
NPS-54-86-011
Sponsors
Naval Postgraduate School Foundation Research Program
Funder
Naval Research and the Office of Naval Technology
Format
133 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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