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master's thesis
Komparativna analiza modela za predviđanje stečaja
2023. urn:nbn:hr:227:015769
Manojlović, Marija
University of Split
University Department of Forensic Sciences

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Manojlović, M. (2023). Komparativna analiza modela za predviđanje stečaja (Master's thesis). Split: University of Split, University Department of Forensic Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:227:015769

Manojlović, Marija. "Komparativna analiza modela za predviđanje stečaja." Master's thesis, University of Split, University Department of Forensic Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:227:015769

Manojlović, Marija. "Komparativna analiza modela za predviđanje stečaja." Master's thesis, University of Split, University Department of Forensic Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:227:015769

Manojlović, M. (2023). 'Komparativna analiza modela za predviđanje stečaja', Master's thesis, University of Split, University Department of Forensic Sciences, accessed 29 October 2024, https://urn.nsk.hr/urn:nbn:hr:227:015769

Manojlović M. Komparativna analiza modela za predviđanje stečaja [Master's thesis]. Split: University of Split, University Department of Forensic Sciences; 2023 [cited 2024 October 29] Available at: https://urn.nsk.hr/urn:nbn:hr:227:015769

M. Manojlović, "Komparativna analiza modela za predviđanje stečaja", Master's thesis, University of Split, University Department of Forensic Sciences, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:227:015769

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Metadata
TitleKomparativna analiza modela za predviđanje stečaja
Title (english)Comparative analysis of bankruptcy prediction models
AuthorMarija Manojlović
MentorIvica Filipović (mentor)
MentorToni Šušak (komentor)
Committee memberMarijana Bartulović (predsjednik povjerenstva)
Committee memberDamir Piplica (član povjerenstva)
Committee memberIvica Filipović (član povjerenstva)
GranterUniversity of Split
University Department of Forensic Sciences
Split
Defense date and country2023-09-19, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Abstract
Cilj ovog istraživanja bila je komparacija metoda za predviđanje stečaja i utvrđivanje njihove točnosti na uzorku hrvatskih trgovačkih društava. Korištene metode su: Altmanov Z-score, Zmijewski model i Grover model. Uzorak se sastoji od dvadeset i četiri trgovačka društva u stečaju. Svi podaci su preuzeti s mrežnih stranica Zagrebačke burze, te obuhvaćaju financijske izvještaje za prvu, drugu i treću godinu prije otvaranja stečajnog postupka. Dobiveni rezultati potvrđuju da postoji statistički značajna razlika vrijednosti modela za predviđanje stečaja u prvoj godini prije otvaranja stečajnog postupka u odnosu na drugu godinu prije otvaranja stečajnog postupka, kao i statistički značajna razlika vrijednosti modela za predviđanje stečaja u drugoj godini prije otvaranja stečajnog postupka u odnosu na treću godinu prije otvaranja stečajnog postupka.
Abstract (english)
The aim of this research was to compare methods for predicting bankruptcy and determining their accuracy on the sample of Croatian companies. The methods used are: Altman's Z-score, Zmijewski model and Grover model. The sample consists of twenty-four bankrupt companies. All data were collected from the Zagreb Stock Exchange website, and include financial statements for the first, second and third year before the opening of bankruptcy proceedings. The obtained results confirm that there is a statistically significant difference in the value of the model for predicting bankruptcy in the first year before the opening of bankruptcy proceedings compared to the second year before the opening of bankruptcy proceedings, as well as a statistically significant difference in the value of the model for predicting bankruptcy in the second year before the opening of bankruptcy proceedings compared to the third year before the opening of bankruptcy proceedings.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:227:015769
Study programmeTitle: Forensic Sciences
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra forenzike (magistar/magistra forenzike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0) icon
Created on2024-01-26 15:23:48