Firm's bankruptcy prediction with two-stage machine learning approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31110%2F23%3A00059302" target="_blank" >RIV/61384399:31110/23:00059302 - isvavai.cz</a>
Result on the web
<a href="https://dokumenty.vsb.cz/docs/files/cs/e1c37442-9c5c-460d-b296-cefb7ecce285" target="_blank" >https://dokumenty.vsb.cz/docs/files/cs/e1c37442-9c5c-460d-b296-cefb7ecce285</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Firm's bankruptcy prediction with two-stage machine learning approach
Original language description
Main topics of the document: Altman model; MLP Neural network; LOA; Polish firms; bankruptcy prediction
Czech name
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Czech description
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Project
<a href="/en/project/GA22-19617S" target="_blank" >GA22-19617S: Modeling the structure and dynamics of energy, commodity and alternative asset prices</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 15th International Conference on Strategic Management and its Support by Information Systems 2023
ISBN
978-80-248-4687-3
ISSN
2570-5776
e-ISSN
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Number of pages
8
Pages from-to
308-315
Publisher name
VŠB - Technical University of Ostrava Faculty of Economics
Place of publication
Ostrava
Event location
Ostrava
Event date
May 22, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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Result description