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

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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1986
Accession Number
ADA187691

Entities

People

  • O. D. Moses

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Business Administration
  • Celestial Brightness
  • Chi Square Test
  • Data Science
  • Discriminant Analysis
  • Economics
  • Factor Analysis
  • Information Processing
  • Information Science
  • Knowledge Management
  • Military Research
  • Money
  • New York
  • Predictive Modeling
  • Probability
  • Statistical Analysis
  • Validation

Readers

  • Government and Public Administration Law.
  • Life Cycle Cost Analysis
  • Neural Network Machine Learning.