J 2021

Prediction of financial distress: case of mining enterprises in Czech Republic

ROWLAND, Zuzana, Alla KASYCH and Petr ŠULEŘ

Basic information

Original name

Prediction of financial distress: case of mining enterprises in Czech Republic

Authors

ROWLAND, Zuzana (203 Czech Republic, guarantor, belonging to the institution), Alla KASYCH and Petr ŠULEŘ (203 Czech Republic, belonging to the institution)

Edition

Ekonomicko-manažerské spektrum, Žilina, Slovensko, University of Zilina, 2021, 2332-399X

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50200 5.2 Economics and Business

Country of publisher

Slovakia

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/75081431:_____/21:00002217

Organization unit

Institute of Technology and Business in České Budějovice

Keywords in English

neural network; financial prediction; mining; solvency; bankrupt

Tags

RIV21, RLZ_PEK
Změněno: 15/12/2021 09:09, Mgr. Nikola Petříková

Abstract

V originále

The authors aim is focused on identifying the financial health of mining companies in the Czech Republic. The authors chose the neural network method because, based on various instances of related research, neural networks represent a more reliable financial forecast than mathematical-statistical methods such as discriminant analysis and logistic regression.
Displayed: 11/11/2024 22:00