A Bibliometric Analysis of Artificial Intelligence Technique in Financial Market
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Date
2021-09-15
Authors
Janková, Zuzana
ORCID
0000-0003-1798-5275Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Univ Pardubice, Fac Economics Adm
Altmetrics
Abstract
This 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.
Description
Citation
Scientific Papers of the University of Pardubice, Series D. 2021, vol. 29, issue 3, p. 1-10.
https://editorial.upce.cz/1804-8048/29/3/1268
https://editorial.upce.cz/1804-8048/29/3/1268
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en