20.500.12556/DKUM-76993 Uspešnost modelov napovedovanja propada podjetja The Performance of Bankruptcy Prediction Models V delu diplomskega projekta obravnavamo področje modelov napovedovanja propada podjetja in njihovo uspešnost. Razvoj modelov, ki so zmožni razpoznati podjetja, pri katerih obstaja tveganje propada, je ključnega pomena za različne deležnike podjetij in za družbo nasploh. Skozi razvoj modelov strojnega učenja so znanstveniki in raziskovalci strmeli k razvijanju vedno novih in izboljšanih modelov ter k nadgradnji obstoječih. Modeli napovedovanja propada podjetja so v današnjem okolju uporabno in nepogrešljivo orodje za računovodje, finančnike in managerje, ki si prizadevajo za hitro in učinkovito sprejemanje odločitev o upravljanju in vodenju podjetij. Pravočasna in ustrezna napoved propada podjetja lahko namreč prepreči, da bi se podjetje znašlo v hudi finančni stiski, iz katere ne bi našlo izhoda z možnostjo nadaljnjega obstoja. V delu se še posebej osredotočamo na uspešnost Altmanovega modela. Na podlagi izvedene analize ugotavljamo, da bi z Altmanovim modelom bilo mogoče pravočasno in ustrezno napovedati propad treh izbranih slovenskih podjetij, zato model ocenjujemo kot uspešen. In the diploma project we discuss the field of bankruptcy prediction models and their success. The development of models that are able to identify companies at risk of going bankrupt is crucial for various company stakeholders, and for the society in general. Through the development of machine learning models, scientists and researchers strived to develop new and ever improved models, and to upgrade the existing ones. In today's environment, bankruptcy prediction models are a useful and indispensable tool for accountants, financiers, and managers who strive to make quick and effective decisions about corporate governance. A timely and appropriate prediction of the company's bankruptcy can prevent the company from finding itself in severe financial distress, from which it would not find a way out with the possibility of continued existence. The paper focuses, in particular, on the performance of Altman`s model. Based on the performed analysis, we conclude that using Altman's model it would be possible to appropriately predict the bankruptcy of three selected Slovenian companies in time. Therefore, we rate the model as successful. napovedovanje propada podjetja modeli napovedovanja propada podjetij multivariatna diskriminantna analiza Altmanov model propadla slovenska podjetja. bankruptcy prediction bankruptcy prediction models multivariate discriminant analysis Altman`s model bankrupt Slovenian companies. true true false [A. Majcan] Slovenski jezik Angleški jezik Delo diplomskega projekta/projektno delo 2020-08-07 14:44:43 2020-11-18 14:11:10 2022-08-09 14:13:28 2020-11-19 03:19:51 2020 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 005.5 38164739 URN:SI:UM:DK:BWTAEPRC UN_Majcan_Ana_2020.pdf UN_Majcan_Ana_2020.pdf 1 E4179F4EF166766651CB4FCD1C50F588 a937f431990d19ef75fc6c124503712ca461275d2a457ad835cccfdb1fbaef5a 75c64bff-7c11-11eb-bb7a-00155d0001ca 20.500.12556/dkum/48afb4f2-1354-4703-bf4a-f1bf81d4de85 https://dk.um.si/Dokument.php?lang=slv&id=144270 Ekonomsko-poslovna fakulteta 0 0 0