Applying data visualization techniques for stock relationship analysis

Hua, J; Huang, ML; Wang, G; Zreika, M

Applying data visualization techniques for stock relationship analysis

Hua, J Huang, ML

Wang, G Zreika, M

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Publication Type:: Journal Article
Citation:: Filomat, 2018, 32 (5), pp. 1931 - 1936
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Hua, J	en_US
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Wang, G	en_US
dc.contributor.author	Zreika, M	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Filomat, 2018, 32 (5), pp. 1931 - 1936	en_US
dc.identifier.issn	0354-5180	en_US
dc.identifier.uri	http://hdl.handle.net/10453/128690
dc.description.abstract	© 2018, University of Nis. All rights reserved. Decision making in stock investment is often made based on current events in the market and the analysis of historical data on specific stocks. Besides, similar rates of price changing over a long-term period on different stocks may indicate potential connections between those listed corporations. The proposed methodology applies the force-directed algorithm and time-series chart to offer stakeholders capability to gain deeper insights initiative on potential relationships between stocks comes with less human interventions. Hence to assist in future decision making on stock investment via graph layouts.	en_US
dc.relation.ispartof	Filomat	en_US
dc.relation.isbasedon	10.2298/FIL1805931H	en_US
dc.title	Applying data visualization techniques for stock relationship analysis	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	32	en_US
utslib.for	0102 Applied Mathematics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	32	en_US

Abstract:

© 2018, University of Nis. All rights reserved. Decision making in stock investment is often made based on current events in the market and the analysis of historical data on specific stocks. Besides, similar rates of price changing over a long-term period on different stocks may indicate potential connections between those listed corporations. The proposed methodology applies the force-directed algorithm and time-series chart to offer stakeholders capability to gain deeper insights initiative on potential relationships between stocks comes with less human interventions. Hence to assist in future decision making on stock investment via graph layouts.

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http://hdl.handle.net/10453/128690