Įmonių bankroto prognozavimo modelių tinkamumo nustatymas
Evaluation of Suitability of Bankruptcy Prediction Models
Author(s): Jonas Mackevičius, Simona SilvanavičiūtėSubject(s): Economy
Published by: Vilnius Gediminas Technical University
Keywords: Bankruptcy; bankruptcy prediction; bankruptcy prediction models; probability of bankruptcy; financial ratios.
Summary/Abstract: Financial data is the main source of enterprise bankruptcy prediction. Applying bankruptcy prediction models, which consist of significant financial ratios, is one of the most simple as well as accurate ways for predicting bankruptcy of enterprises. With the help of these models, the threat of bankruptcy could be noticed several years before the process of bankruptcy actually starts. The research has proved the linear discriminant models (Altman, Springate, Taffler & Tisshaw) to be the most suitable for predicting bankruptcy in Lithuanian companies.
Journal: Verslas: teorija ir praktika
- Issue Year: 2006
- Issue No: 4
- Page Range: 193-202
- Page Count: 10
- Language: Lithuanian