Katalóg evidencie publikačnej činnosti PU

ID záznamu:	231059
Kategória:	ADM
Autor:	Štefko Róbert (40%)
Autor:	Horváthová Jarmila (30%)
Autor:	Mokrišová Martina (30%)
Názov:	Bankruptcy prediction with the use of data envelopment analysis: An empirical study of Slovak businesses [print, elektronický dokument]
Zdroj:	Journal of Risk and Financial Management [print, elektronický dokument]
Lokácia:	Roč. 13, č. 9. - Basel, (2020), s. 1-15
ISSN:	1911-8066. - ISSN 1911-8074
Ohlas:	[1] 2021. GHERGHINA, Stefan Cristian. Corporate Finance. In Journal of Risk and Financial Management : print, elektronický dokument, ISSN 1911-8066; 1911-8074. Basel, 2021, Roč. 14, č. 2. WOS CC.
Ohlas:	[1] 2020. CSIKÓSOVÁ, Adriana, JANOŠKOVÁ, Mária, ČULKOVÁ, Katarína. Application of Discriminant Analysis for Avoiding the Risk of Quarry Operation Failure. In Journal of Risk and Financial Management : print, elektronický dokument, ISSN 1911-8066; 1911-8074. Basel, 2020, Roč. 13, č. 10, s. 1-14. WOS CC.
Ohlas:	[1] 2021. PERÁČEK, Tomáš. A few remarks on the (im)perfection of the term securities. In Juridical Tribune - Tribuna Juridica : print, elektronický dokument, ISSN 2247-7195; 2248-0382. Bukurešť, 2021, Roč. 11, č. 2, s. 135-149. WOS CC ; ESCI ; SCO. Dostupný na internete <https://www.scopus.com/record/display.uri?eid=2-s2.0-85109933679&origin=resultslist>
Ohlas:	[1] 2021. PAVLIČKO, Michal, ĎURICA, Marek, MAZANEC, Jaroslav. Ensemble model of the financial distress prediction in Visegrad Group countries. In Mathematics : elektronický dokument, ISSN 2227-7390. Bazilej, 2021, Roč. 9, č. 16, s. 1-16. CCC. Dostupný na internete <https://www.mdpi.com/2227-7390/9/16/1886>
Ohlas:	[1] 2021. HUYNH, Huy Hoa, YU, Jaehung, WANG, Lei et al. Integrative 3D Geological Modeling Derived from SWIR Hyperspectral Imaging Techniques and UAV-Based 3D Model for Carbonate Rocks. In Remote Sensing : elektronický dokument, ISSN 2072-4292. Bazilej, 2021, Roč. 13, č. 15. WOS CC.
Ohlas:	[1] 2022. PAVLICKO, M., MAZANEC, J. Minimalistic logit model as an effective tool for predicting the risk of financial distress in the Visegrad group. In Mathematics, ISSN 2227-7390. 2022, vol. 10, no. 8, art. no. 1302. WOS:000785097900001;SCOPUS.
Ohlas:	[1] 2022. ĎURICA, M., MAZANEC, J. Modeling the financial distress of Slovak companies using various decision trees. In Business and management 2022 : 12th international scientific conference [online]. Vilnius : Vilnius Gediminas technical university press, 2022 [cit. 2022-06-28], s. 851. ISBN 978-609-476-289-5. WOS:000887405800100. Dostupný na internete <http://bm.vgtu.lt/index.php/verslas/2022/paper/view/850/444>
Ohlas:	[3] 2022. IDAYANTI, R., HASNI, H. Peran corporate social responsibility dan good corporate governance terhadap kinerja keuangan pada perbankan di Indonesia periode 2014-2019. In Amal : jurnal ekonomi syariah [online], ISSN 2828-6103. 2022 [cit. 2023-02-16], roč. 4, č. 1, s. 10. Dostupný na internete <https://jurnal.iainambon.ac.id/index.php/amal/article/view/3216>
Ohlas:	[1] 2022. GAVUROVÁ, B., JENČOVÁ, S., BAČIK, R. et al. Artificial intelligence in predicting the bankruptcy of non-financial corporations. In Oeconomia Copernicana, ISSN 2083-1277. 2022, roč. 13, č. 4, s. 1215-1251. SCOPUS;WOS:000907675800008.
Ohlas:	[1] 2022. MICHALKOVA, L., KOVACOVA, M., CEPEL, M. et al. Insolvency prediction and corporate bankrutpcy model in Visegrad group countries. In Transformation in business & economics, ISSN 1648-4460. 2022, roč. 21, č. 2A, s. 529-548. WOS:000927592100008.
Ohlas:	[3] 2022. RUS, L., ZAPODEAUNU, D., SCORTE, C. et al. Indicators and 3r-type measures in overcoming financial difficulties of companies. In The Annals of the University of Oradea : economic sciences [online]. 2022 [cit. 2023-05-16], roč. 31, č. 1, s. 162. Dostupný na internete <http://anale.steconomiceuoradea.ro/en/wp-content/uploads/2023/01/Volume-2_AUOES_december-2022-156-166.pdf>
Ohlas:	[1] 2023. CIVELEK, M., KRAJCIK, V., FIALOVA, V. The impacts of innovative and competitive abilities of SMEs on their different financial risk concerns: System approach. In Oeconomia Copernicana, ISSN 2083-1277. 2023, roč. 14, č. 1, s. 327-354. WOS:000973580700009.
Ohlas:	[1] 2023. STAŇKOVÁ, Michaela. Threshold moving approach with logit models for bankruptcy prediction. In Computational economics, ISSN 0927-7099. 2023, roč. 61, č. 3, s. 1251-1272. WOS:000767698700001.
Ohlas:	[1] 2023. STANKOVA, M., HAMPEL, D. Optimal threshold of data envelopment analysis in bankruptcy prediction. In SORT- Statistics and operations research transactions, ISSN 1696-2281. 2023, roč. 47, č. 1, s. 1-22. WOS:000986546900001.
Ohlas:	[3] 2023. KHORAMI, M.A., EBRAHIMI, S.B., GHAZANI, M.M. Analyzing the performance of DEA models for bankruptcy prediction in the energy sector: with emphasis on Dynamic DEA approach. In Advances in mathematic finance & applications [online], ISSN 2645-4610. 2023 [cit. 2023-10-11], roč. 8, č. 4, s. [19]. Dostupný na internete <https://amfa.arak.iau.ir/article_703462.html>
Ohlas:	[1] 2023. WANG, Xiaohui. Research on financial risk prediction and prevention for small and medium-sized enterprises - based on a neural network. In Informatica, ISSN 0350-5596. 2023, roč. 47, č. 8, s. 153-160. SCOPUS.
Ohlas:	[1] 2023. LISOWSKA, A., WASCINSKI, T., KUROVS, J. et al. The usefulness of financial instruments in assessing the bankruptcy risk of companies. In Entrepreneurship and sustainability issues, ISSN 2345-0282. 2023, roč. 11, č. 1, s. 191-208. WOS:001100803400010.
Ohlas:	[4] 2023. ĎURICA, M., ŠVÁBOVÁ, L., KRAMÁROVÁ, K. Predictive modelling of financial distress of Slovak companies using machine learning techniques. In Economics, management & business 2023 : contemporary issues, insights and new challenges : 8. international scientific conference. Prešov : Prešovská univerzita v Prešove. Vydavateľstvo Prešovskej univerzity, 2023, s. 784, 785. ISBN 978-80-555-3215-8.
Oblasť výskumu:	060
Oblasť výskumu:	080