Incorporating Artificial Intelligence into Finance: A Bibliometric Analysis

Antonio Carlos Alcázar-Blanco (), José Francisco Rangel-Preciado and Fiama Portillo-Santos
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Antonio Carlos Alcázar-Blanco: Department of Financial Economics, University of Extremadura, 52139 Plasencia, Spain
José Francisco Rangel-Preciado: Department of Economics, University of Extremadura, 52308 Plasencia, Spain
Fiama Portillo-Santos: Department of Economics, University of Extremadura, 52308 Plasencia, Spain
Authors registered in the RePEc Author Service: José Francisco Rangel Preciado

JRFM, 2024, vol. 17, issue 12, 1-14

Abstract: The aim of this study is to carry out an analysis of the intellectual structure of the introduction of AI into finance, in the period from 1995 to 2023, using SciMAT v.1.1.04 software. The results indicate how research on the incorporation of AI in finance has grown significantly, which shows the evolution and importance of this area of research. Eight main topics were obtained in this area: bank, prediction, impact, decision, valuesstock, genetic algorithm, big data analysis, and social data analysis. This study shows us how the incorporation of AI can strongly support the analysis of different financial situations such as decision making or the prediction of movements.

Keywords: bibliometric analysis; artificial intelligence; finance; co-occurrence analysis (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2024
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