Selected Methods of Predicting Financial Health of Companies: Neural Networks Versus Discriminant Analysis
This paper focuses on the financial health prediction of businesses. The issue of predicting the financial health of companies is very important in terms of their sustainability. The aim of this paper is to determine the financial health of the analyzed sample of companies and to distinguish financi...
Main Authors: | Jarmila Horváthová, Martina Mokrišová, Igor Petruška |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
|
Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/12/12/505 |
Similar Items
-
Prediction of financial distress of companies with artificial neural networks and decision trees models
by: Nezir Aydin, et al.
Published: (2022-12-01) -
The Accuracy of Artificial Neural Networks and Logit Models in Predicting the Companies’ Financial Distress
by: Farida Titik Kristanti, et al.
Published: (2023-10-01) -
Indebtedness and profitability – A threshold model approach
by: Jarmila Horvathova, et al.
Published: (2022-07-01) -
On logit and artificial neural networks in corporate distress modelling for Zimbabwe listed corporates
by: Louisa Muparuri, et al.
Published: (2022-01-01) -
Does neglecting the instruments of financial failure play a role in the bankruptcy of companies?
by: Selma Douha, et al.
Published: (2023-06-01)