Katalóg evidencie publikačnej činnosti PU

ID záznamu:	316795
Kategória:	ADM
Autor:	Štefko Róbert (40%)
Autor:	Horváthová Jarmila (30%)
Autor:	Mokrišová Martina (30%)
Názov:	The application of graphic methods and the DEA in predicting the risk of bankruptcy [print, elektronický dokument]
Zdroj:	Journal of Risk and Financial Management [print, elektronický dokument]
Lokácia:	Roč. 14, č. 5. - Basel, (2021), s. 1-19
ISSN:	1911-8066. - ISSN 1911-8074
URL:	https://www.mdpi.com/1911-8074/14/5/220
Ohlas:	[1] 2021. BALINA, Rafal, IDASZ-BALINA, Marta. Drivers of individual credit risk of retail customers – a case study on the example of the polish cooperative banking sector [elektronický dokument]. In Risks : elektronický dokument, ISSN 2227-9091. Basel, 2021, Roč. 9, č. 12. SCO ; WOS CC.
Ohlas:	[3] 2021. POPOV, Je. N. Roľ gosudarstva v rabote s problemnymi dolgami v krizisnyje periody: rossijskij i meždunarodnyj opyt. In Innovaciji i investiciciji, ISSN 2307-180X. 2021, č. 11, s. 80.
Ohlas:	[1] 2021. BALINA, R., IDASZ-BALINA, M., ACHSANI, N.A. Predicting insolvency of the construction companies in the creditworthiness assessment process-empirical evidence from Poland. In Journal of Risk and Financial Management, ISSN 1911-8066. 2021, vol. 14, no. 10, art. no. 453. WOS:000717066900001.
Ohlas:	[1] 2022. LI, Z., FENG, CH., TANG, Y. Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis. In Annals of operations research, ISSN 0254-5330. 2022, roč. 315, č. 1, s. 279-315. SCOPUS;WOS:000770183300004.
Ohlas:	[3] 2022. KIEI, M., LARGAN, M.S. The effect of profit management and business strategies on the company's bankruptcy risk. In Journal of business management and entrepreneurship [online], ISSN 2783-4573. 2022 [cit. 2022-11-08], roč. 1, č. 2, s. 76. Dostupný na internete <https://www.jbme.ir/article_151109_e812a1af172ab55c5bc8a1585d67df6e.pdf?lang=en>
Ohlas:	[1] 2022. KUIZINIENE, D., KRILAVIČIUS, T., DAMAŠEVIČIUS, R. et al. Systematic review of financial distress identification using artificial intelligence methods. In Applied artifical intelligence, ISSN 0883-9514. 2022, roč. 36, č. 1, art. no. 2138124. SCOPUS;WOS:000889964900001.
Ohlas:	[1] 2022. TRUONG, T.H., NGUYEN, L. Factors affecting bankruptcy risks of firms: evidence from listed companies on Vietnamese stock market. In Journal of Asian finance economics and business, ISSN 2288-4637. 2022, roč. 9, č. 3, s. 275-283. WOS:000772891400027.
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] 2023. GAJDOŠIKOVÁ, D., VALÁŠKOVÁ, K., KLIEŠTIK, T. et al. Research on corporate indebtedness determinants: a case study of Visegrad Group countries. In Mathematics, ISSN 2227-7390. 2023, roč. 11, č. 2, art. no. 299. SCOPUS;WOS:000918858600001.
Ohlas:	[1] 2023. VALÁŠKOVÁ, K., GAJDOŠÍKOVÁ, D., BELAS, J. Bankruptcy prediction in the post-pandemic period: a case study of Visegrad Group countries. In Oeconomia Copernicana, ISSN 2083-1277. 2023, roč. 14, č. 1, s. 253-293. WOS:000973580700007; SCOPUS.
Ohlas:	[1] 2023. MORALES-BANUELOS, P., FERNÁNDEZ-ANAYA, G. Default probabilities and the credit spread of mexican companies: the modified merton model. In Mathematics, ISSN 2227-7390. 2023, roč. 11, č. 20, art. no. 4397. SCOPUS; WOS:001119428900001.
Ohlas:	[1] 2024. KUIZINIENE, D., SAVICKAS, P., KRILAVIČIUS, T. Autoencoder as feature extraction technique for financial distress classification. In Information and software technologies : 29th International conference, ICIST 2023 Kanas, Lithuania, October 12-14, 2023. Cham : Springer Nature, 2024, s. 86. ISBN 978-3-031-48980-8. SCOPUS.
Ohlas:	[1] 2023. JENČOVÁ, S., PETRUŠKA, I., GAVURA, Š. et al. Relationship between financial indicators in the Slovak engineering industry: a panel regression approach. In Journal of international studies, ISSN 2071-8330. 2023, roč. 16, č. 4, s. 52-65. SCOPUS.
Ohlas:	[1] 2024. ANDRE, F.J., BUENDIA, A., SANTOS-ARTEAGA, F.J. Efficient water use and reusing processes across Spanish regions: a circular data envelopment analysis with undesirable inputs. In Journal of cleaner production, ISSN 0959-6526. 2024, roč. 434, art no. 139929. WOS:001132284500001; SCOPUS.
Ohlas:	[4] 2023. VRAVEC, J., KOREČKO, J. Economic aspects of bankruptcies of the business entities in Slovakia in the post-covid period. 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. 684, 692. ISBN 978-80-555-3215-8.
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.
Ohlas:	[3] 2024. MARINKA, L., SURYONO, A. Kewenangan pengajuan permohonan pailit terhadap perusahan asuransi pasca terbentuknya OJK. In Indonesian journal of law and justice [online], ISSN 3031-0016. 2024 [cit. 2024-04-11], roč. 1, č. 3, March, s. [11]. Dostupný na internete <https://journal.pubmedia.id/index.php/lawjustice/article/view/2255>
Ohlas:	[1] 2024. LI, J., FU, G., ZHAO, X. Urban economic resilience and supply chain dynamics: evaluating monetary recovery policies in global cities during the early Covid-19 pandemic. In Mathematics [online], ISSN 2227-7390. 2024 [cit. 2024-04-11], roč. 12, č. 5, art no. 673. WOS:001181011900001; SCOPUS. Dostupný na internete <https://www.mdpi.com/2227-7390/12/5/673>
Ohlas:	[1] 2023. NEGAHBAN, L., BANIMAHD, B., HOSSEIN HOSSEINI, S. et al. Ranking of companies in generating operating cash flows based on data envelopment analysis. In International journal of research in industrial engineering, ISSN 2783-1337. 2023, roč. 12, č. 4, s. 374. SCOPUS.
Ohlas:	[4] 2024. JENČOVÁ, S., PETRUŠKA, I., MIŠKUFOVÁ, M. Relationship between profitability and debt: the case of the Slovak energy and mining sector . In Ekonomicko-manažérske spektrum, ISSN 1337-0839. 2024, roč. 18, č. 2, s. 40, 49.
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