A Bibliometric Analysis of Artificial Intelligence Technique in Financial market
نویسندگان
چکیده
This article aims to explore the main areas of research, development trends and provide a systematic overview publications in field artificial intelligence financial markets. The bibliometric tool VOSViewer is used this paper. We analyzed 353 articles contributions obtained from database Web Science, summarized our findings as follows: becoming increasingly widespread finance interdisciplinary interconnection; tools such neural networks fuzzy logic are most often predict time series, or create decision models; important cited authors Markowitz Lebaron. Expert System with Application cradle significant part fundamental research intelligence. By using effective methods, we comprehensive analysis in-depth insight into subject area which allows individuals especially new beginners interested obtain valuable information possible direction future research. study recommended focus on hybrid models prediction individual sectors markets, present current rise.
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ژورنال
عنوان ژورنال: Scientific Papers of the University of Pardubice. Series D, Faculty of Economics and Administration
سال: 2021
ISSN: ['1211-555X', '1804-8048']
DOI: https://doi.org/10.46585/sp29031268