Accession Number : ADA187691

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

Descriptive Note : Technical rept. Oct 85-Oct 86,

Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s) : Moses, O D

PDF Url : ADA187691

Report Date : Oct 1986

Pagination or Media Count : 128

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. Keywords: Statistical analysis; Multivariate models; Univariate analysis.

Descriptors :   *BANKRUPTCY, *FORECASTING, *STATISTICAL ANALYSIS, ANALYSTS, BIAS, ERRORS, FINANCE, MULTIVARIATE ANALYSIS, VARIATIONS, CORPORATIONS, MATHEMATICAL MODELS

Subject Categories : Economics and Cost Analysis
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Distribution Statement : APPROVED FOR PUBLIC RELEASE