Application of Selected Multidimensional Discriminant Models for Assessing Financial Condition: The Case of Renewable Energy Companies Listed on the NewConnect Market
Loading...
2.2.-Chrystian-Firlej-Application-of-Selected-Multidimensional-Discriminant-Models-for-Assessing-Financial-Condition_with_metadata.pdf (688.6 KB)
Authors
0000-0001-7724-5717 Date
2026
Journal Title
Journal ISSN
Volume Title
Publisher
Wydział Inżynierii Zarządzania Politechniki Białostockiej
Abstract
The article focuses on assessing the financial condition of companies listed on the NewConnect market using selected discriminant models, which are valuable tools for evaluating these enterprises. The main objective of the research was to apply selected Polish discriminant analysis models to study the financial condition of companies listed on the NewConnect market in the renewable energy sector. The purpose of the research was conditioned by the adopted research hypothesis, which stated that companies in the renewable energy sector listed on the NewConnect market were characterized by good and stable financial conditions during the analyzed period. The results confirmed that discriminant analysis models are a valuable tool for assessing the financial condition of the analyzed entities. On the other hand, on the other hand, the research carried out allowed the conclusion that companies operating on the NewConnect market (renewable energy sector) in 2019-2024 were in a diverse and ambiguous financial situation.
Description
Keywords
Citation
Ch. Firlej, Application of Selected Multidimensional Discriminant Models for Assessing Financial Condition: The Case of Renewable Energy Companies Listed on the NewConnect Market, Akademia Zarządzania 2026, 10(1), s. 52-69