Artificial Intelligence in Finance

master's thesis

• Author: Borna Pavelić
• Mentor: Mario Spremić (mentor)
• Committee member: Ivan Strugar (predsjednik povjerenstva)
• Committee member: Božidar Jaković (član povjerenstva)
• Committee member: Mario Spremić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2021-09-29, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

This Master Thesis has covered the topic of general constructive application of artificial intelligence in finance, and how can integration of this tool help in conducting finance operations from the most complex ones to the easiest ones. Also this Master Thesis has focused on machine learning programms and their application as well.

• Keywords: Artificial Intelligence; Finance
• Language: english
• URN:NBN: urn:nbn:hr:148:866282
• Study programme: Title: Business economics; specializations in: Marketing in english, Managerial informatics, Management, Marketing, Trade and international business, Leadership; Course: Managerial informatics; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2021-10-04 09:54:30