prikaz prve stranice dokumenta Analiza povrata dionica metodama klasteriranja
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undergraduate thesis
Analiza povrata dionica metodama klasteriranja
2017. urn:nbn:hr:211:424510
Čvrljević, Petra
University of Zagreb
Faculty of Organization and Informatics
Department of Quantitative Methods

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Čvrljević, P. (2017). Analiza povrata dionica metodama klasteriranja (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:424510

Čvrljević, Petra. "Analiza povrata dionica metodama klasteriranja." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2017. https://urn.nsk.hr/urn:nbn:hr:211:424510

Čvrljević, Petra. "Analiza povrata dionica metodama klasteriranja." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2017. https://urn.nsk.hr/urn:nbn:hr:211:424510

Čvrljević, P. (2017). 'Analiza povrata dionica metodama klasteriranja', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 05 April 2025, https://urn.nsk.hr/urn:nbn:hr:211:424510

Čvrljević P. Analiza povrata dionica metodama klasteriranja [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2017 [cited 2025 April 05] Available at: https://urn.nsk.hr/urn:nbn:hr:211:424510

P. Čvrljević, "Analiza povrata dionica metodama klasteriranja", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:211:424510

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Metadata
TitleAnaliza povrata dionica metodama klasteriranja
Title (english)Analysing of stock returns using clustering methods
AuthorPetra Čvrljević
MentorJelena Gusić (mentor)
MBZ: 341600
Committee memberJasminka Dobša
MBZ: 218640
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Quantitative Methods)
Varaždin
Defense date and country2017-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Rad analizira 20 dionica koje se nalaze na Zagrebačkoj burzi te pripadaju grupi CROBEX. Za dionice su prikupljeni podaci i izračunati povrati. Koristeći hijerarhijsko klasteriranje i K-means klasteriranje napravljena je analiza nestandardiziranih i standardiziranih povrata.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:424510
Study programmeTitle: Business Systems
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2019-03-04 12:06:07
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