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master's thesis
Klaster analiza u kreditnom skoriranju
2023. urn:nbn:hr:126:520308
Žagar, Ivana
Josip Juraj Strossmayer University of Osijek
Department of Mathematics

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Žagar, I. (2023). Klaster analiza u kreditnom skoriranju (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:520308

Žagar, Ivana. "Klaster analiza u kreditnom skoriranju." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2023. https://urn.nsk.hr/urn:nbn:hr:126:520308

Žagar, Ivana. "Klaster analiza u kreditnom skoriranju." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2023. https://urn.nsk.hr/urn:nbn:hr:126:520308

Žagar, I. (2023). 'Klaster analiza u kreditnom skoriranju', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 11 November 2024, https://urn.nsk.hr/urn:nbn:hr:126:520308

Žagar I. Klaster analiza u kreditnom skoriranju [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2023 [cited 2024 November 11] Available at: https://urn.nsk.hr/urn:nbn:hr:126:520308

I. Žagar, "Klaster analiza u kreditnom skoriranju", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:126:520308

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Metadata
TitleKlaster analiza u kreditnom skoriranju
Title (english)Cluster Analysis in Credit Scoring
AuthorIvana Žagar
MentorNataša Šarlija (mentor)
MentorKristian Sabo (komentor)
Committee memberIvan Soldo (predsjednik povjerenstva)
Committee memberNataša Šarlija (član povjerenstva)
Committee memberKristian Sabo (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
Osijek
Defense date and country2023-02-27, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Financial and Business Mathematics
Abstract
U ovom se radu upoznajemo s klaster analizom i njezinom primjenom u kreditnom skoriranju. Na početku je dana teorijska podloga klaster analize te su obrađene metode za klasteriranje. Opisano je kreditno skoriranje te je dan osvrt na klaster analizu u kreditnom skoriranju. Zatim je provedeno empirijsko istraživanje na stvarnim podacima jedne banke. Financijski pokazatelji malih i srednjih poduzeća su klasterirani u klastere i opisani su dobiveni rezultati.
Abstract (english)
In this work, we are introduced to cluster analysis and its application in credit scoring. The theoretical background of the cluster analysis is presented at the beginning as well as the methods used in clustering. There is a description of credit scoring and an overview of cluster analysis used within it. Then there is an empirical research done on real data provided by a bank. Financial indicators of small and medium businesses are clustered and the final results are described.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:520308
Study programmeTitle: Mathematics; specializations in: Financial and Statistical Mathematics, Mathematics and Computer Science, Industrial and Applied Mathematics
Course: Financial and Statistical Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-03-02 08:50:25