Applying Data Processing Method for Relationship Discovery in the Stock Market

Zreika, M; Hua, J; Wang, G

Applying Data Processing Method for Relationship Discovery in the Stock Market

Zreika, M Hua, J

Wang, G

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Publisher:: Springer
Publication Type:: Chapter
Citation:: Recent Developments in Data Science and Business Analytics, 2018, pp. 247-253
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Zreika, M
dc.contributor.author	Hua, J https://orcid.org/0000-0002-3409-2076
dc.contributor.author	Wang, G
dc.date.accessioned	2022-12-17T18:39:25Z
dc.date.available	2022-12-17T18:39:25Z
dc.date.issued	2018-01-01
dc.identifier.citation	Recent Developments in Data Science and Business Analytics, 2018, pp. 247-253
dc.identifier.isbn	9783319727448
dc.identifier.uri	http://hdl.handle.net/10453/164453
dc.description.abstract	Decision making in the stock market is often made based on current events and the historical data analysis. In addition, related stock trends may affect investors’ future decisions. To extract such relationship between stocks, a proposed methodology applies data processing techniques on raw data collected from the Australian Stock Market, to provide investors another angle of view, comes with initiative potential connections analysis between listed corporations, which is based on pure mathematics computing.
dc.format.extent	55
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Recent Developments in Data Science and Business Analytics
dc.relation.isbasedon	10.1007/978-3-319-72745-5_27
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Applying Data Processing Method for Relationship Discovery in the Stock Market
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Provost
pubs.organisational-group	/University of Technology Sydney/Provost/TD School
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-12-17T18:39:16Z
pubs.place-of-publication	Switzerland
pubs.publication-status	Published
dc.location	Switzerland

Abstract:

Decision making in the stock market is often made based on current events and the historical data analysis. In addition, related stock trends may affect investors’ future decisions. To extract such relationship between stocks, a proposed methodology applies data processing techniques on raw data collected from the Australian Stock Market, to provide investors another angle of view, comes with initiative potential connections analysis between listed corporations, which is based on pure mathematics computing.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/164453