A Bibliometric Analysis of Artificial Intelligence Technique in Financial Market

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dc.contributor.authorJanková, Zuzanacs
dc.coverage.issue3cs
dc.coverage.volume29cs
dc.date.issued2021-09-15cs
dc.description.abstractThis article aims to explore the main areas of research, development trends and provide a systematic overview of publications in the field of artificial intelligence in financial markets. The bibliometric tool VOSViewer is used in this paper. We analysed 353 articles and contributions obtained from the database of Web of Science, and summarized our findings as follows: artificial intelligence is becoming increasingly widespread in the field of finance and interdisciplinary interconnection; artificial intelligence tools such as neural networks and fuzzy logic are most often used to predict the development of financial time series, or to create decision models; the most important cited authors in this field are Markowitz and Lebaron. Expert System with Application is the cradle of a significant part of fundamental research in the field of artificial intelligence. By using effective bibliometric methods, we provide comprehensive analysis and in-depth insight into the subject area of research, which allows individuals and especially new beginners interested in this area to obtain valuable information and possible direction of future research. The study is recommended to focus on hybrid models prediction of individual sectors of the financial markets, which are present in the current research on the rise.en
dc.formattextcs
dc.format.extent1-10cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationScientific Papers of the University of Pardubice, Series D. 2021, vol. 29, issue 3, p. 1-10.en
dc.identifier.doi10.46585/sp29031268cs
dc.identifier.issn1804-8048cs
dc.identifier.orcid0000-0003-1798-5275cs
dc.identifier.other172489cs
dc.identifier.researcheridV-3927-2017cs
dc.identifier.urihttp://hdl.handle.net/11012/201629
dc.language.isoencs
dc.publisherUniv Pardubice, Fac Economics Admcs
dc.relation.ispartofScientific Papers of the University of Pardubice, Series Dcs
dc.relation.urihttps://editorial.upce.cz/1804-8048/29/3/1268cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1804-8048/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectArtificial Intelligenceen
dc.subjectAIen
dc.subjectANNen
dc.subjectBibliometric Analysisen
dc.subjectFinancial marketen
dc.subjectFuzzy Logicen
dc.subjectNeural networken
dc.subjectStock Marketen
dc.titleA Bibliometric Analysis of Artificial Intelligence Technique in Financial Marketen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-172489en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:43:28en
sync.item.modts2025.01.17 16:46:37en
thesis.grantorVysoké učení technické v Brně. Fakulta podnikatelská. Ústav informatikycs
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