ROWLAND, Zuzana, Alla KASYCH a Petr ŠULEŘ. Prediction of financial distress: case of mining enterprises in Czech Republic. Ekonomicko-manažerské spektrum. Žilina, Slovensko: University of Zilina, 2021, roč. 15, č. 1, s. 1-14, 15 s. ISSN 2332-399X. |
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@article{61361, author = {Rowland, Zuzana and Kasych, Alla and Šuleř, Petr}, article_location = {Žilina, Slovensko}, article_number = {1}, keywords = {neural network; financial prediction; mining; solvency; bankrupt}, language = {eng}, issn = {2332-399X}, journal = {Ekonomicko-manažerské spektrum}, title = {Prediction of financial distress: case of mining enterprises in Czech Republic}, url = {https://ems.uniza.sk/wp-content/uploads/2021/05/EMS_1_2021_01_Rowland_Kasych_Suler.pdf}, volume = {15}, year = {2021} }
TY - JOUR ID - 61361 AU - Rowland, Zuzana - Kasych, Alla - Šuleř, Petr PY - 2021 TI - Prediction of financial distress: case of mining enterprises in Czech Republic JF - Ekonomicko-manažerské spektrum VL - 15 IS - 1 SP - 1-14 EP - 1-14 PB - University of Zilina SN - 2332399X KW - neural network KW - financial prediction KW - mining KW - solvency KW - bankrupt UR - https://ems.uniza.sk/wp-content/uploads/2021/05/EMS_1_2021_01_Rowland_Kasych_Suler.pdf N2 - 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. ER -
ROWLAND, Zuzana, Alla KASYCH a Petr ŠULEŘ. Prediction of financial distress: case of mining enterprises in Czech Republic. \textit{Ekonomicko-manažerské spektrum}. Žilina, Slovensko: University of Zilina, 2021, roč.~15, č.~1, s.~1-14, 15 s. ISSN~2332-399X.
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