Open AccessThe Use of Discriminatory Models to Verify the Likelihood of Continued Activities for Enterprises : Case Study on Select Enterprises from the Automotive Industry
Author(s) -
Wojciech Lichota
Publication year - 2020
Publication title -
acta scientiarum polonorum. oeconomia
Language(s) - English
Resource type - Journals
eISSN - 2450-047X
pISSN - 1644-0757
DOI - 10.22630/aspe.2020.19.4.45
Subject(s) - automotive industry , profitability index , sample (material) , function (biology) , value (mathematics) , discriminant function analysis , debt , econometrics , business , industrial organization , computer science , marketing , actuarial science , economics , engineering , statistics , mathematics , finance , chemistry , chromatography , evolutionary biology , biology , aerospace engineering
The main aim of this article is to assess the use of discriminatory models to verify the likelihood that an enterprise's activities will continue, using a sample of enterprises from the automotive industry as a case study. The suitability of 10 models will be verified by a three-point credit assessment method. As seen in the research results, discriminatory models can be used to verify an enterprise's likelihood of continuing its activity. Taking into account the received values for discriminatory functions and banking methods over four years, a convergence of indications was demonstrated. In the vast majority of cases, the increase or decrease in the value of the functions was reflected in a corresponding change in the value of banking methods. Based on the conducted research, it should be stated that the most characteristic variables influencing the values of the discriminant function in the automotive industry concerned debt and profitability. (original abstract)