Statistička analiza kineskog dioničarskog tržišta

master's thesis

• Author: Ivan Peula
• Mentor: Boris Podobnik (mentor)
• Committee member: Boris Podobnik (predsjednik povjerenstva)
• Committee member: Vjekoslav Kovač (član povjerenstva)
• Committee member: Tomislav Berić (član povjerenstva)
• Committee member: Mladen Vuković (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Mathematics); Zagreb
• Defense date and country: 2017-09-26, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Mathematics

Abstract

U ovom radu napravljena je statistička analiza kompanija Šangajske i Shenzhen burze. Promatrana je vrijednost tržišne kapitalizacije i cijene dionica svih kompanija koje posluju na navedenim burzama i detaljno se analiziralo 10 najvećih kompanija po tržišnoj kapitalizaciji na obje burze. Također, po uzoru na SP 500 indeks definiran je index za kinesko tržište i promatrana je njegova vrijednost i međuovisnost s SP500 indeksom.

Abstract (english)

In this paper was made a statistical analysis of the Shanghai and Shenzhen stock exchanges. The market capitalization and stock prices of all companies operating on these stock exchanges were analyzed and the ten largest companies by market capitalization on both exchanges were analyzed in detail. Also, on the model of the SP 500 index, an index for the Chinese market was defined and its value and interdependence with the SP500 index were observed.

• Keywords: Šangajska burza; Shenzhen burza; vrijednost tržišne kapitalizacije; cijena dionica; SP 500 indeks
• Keywords (english): Shanghai stock exchange; Shenzhen stock exchange; market capitalization; stock prices; SP500 index
• Language: croatian
• URN:NBN: urn:nbn:hr:217:270642
• Study programme: Title: Mathematical Statistics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2018-03-14 13:17:30