Prediction of financial distress: case of mining enterprises in Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F21%3A00002217" target="_blank" >RIV/75081431:_____/21:00002217 - isvavai.cz</a>
Result on the web
<a href="https://ems.uniza.sk/wp-content/uploads/2021/05/EMS_1_2021_01_Rowland_Kasych_Suler.pdf" target="_blank" >https://ems.uniza.sk/wp-content/uploads/2021/05/EMS_1_2021_01_Rowland_Kasych_Suler.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Prediction of financial distress: case of mining enterprises in Czech Republic
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ekonomicko-manažerské spektrum
ISSN
2332-399X
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
1
Country of publishing house
SK - SLOVAKIA
Number of pages
15
Pages from-to
1-14
UT code for WoS article
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EID of the result in the Scopus database
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