ROWLAND, Zuzana, Alla KASYCH and Petr ŠULEŘ. Prediction of financial distress: case of mining enterprises in Czech Republic. Ekonomicko-manažerské spektrum. Žilina, Slovensko: University of Zilina, vol. 15, No 1, p. 1-14, 15 pp. ISSN 2332-399X. 2021.
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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
Original language English
Type of outcome Article in a journal
Field of Study 50200 5.2 Economics and Business
Country of publisher Slovakia
Confidentiality degree is not subject to a state or trade secret
WWW 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
Changed by Changed by: Mgr. Nikola Petříková, učo 28324. Changed: 15/12/2021 09:09.
Abstract
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.
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