A Bibliometric Analysis of Artificial Intelligence Technique in Financial Market

A Bibliometric Analysis of Artificial Intelligence Technique in Financial Market

Článek WoS

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.

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.

Artificial Intelligence; AI; ANN; Bibliometric Analysis; Financial market; Fuzzy Logic; Neural network; Stock Market

Artificial Intelligence; AI; ANN; Bibliometric Analysis; Financial market; Fuzzy Logic; Neural network; Stock Market

JANKOVÁ, Z.

2022

15.09.2021

Univ Pardubice, Fac Economics Adm

Pardubice

1804-8048

Scientific Papers of the University of Pardubice-Series D-Faculty of Economics and Administration

29

3

Česká republika

1

10

10

https://editorial.upce.cz/1804-8048/29/3/1268

http://hdl.handle.net/11012/201629

SciPap-01268