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Incorporating Artificial Intelligence into Finance: A Bibliometric Analysis

Author

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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)

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.

Suggested Citation

  • Antonio Carlos Alcázar-Blanco & José Francisco Rangel-Preciado & Fiama Portillo-Santos, 2024. "Incorporating Artificial Intelligence into Finance: A Bibliometric Analysis," JRFM, MDPI, vol. 17(12), pages 1-14, December.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:12:p:556-:d:1540897
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    References listed on IDEAS

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    1. M.J. Cobo & A.G. López‐Herrera & E. Herrera‐Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    2. Ahmed, Shamima & Alshater, Muneer M. & Ammari, Anis El & Hammami, Helmi, 2022. "Artificial intelligence and machine learning in finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 61(C).
    3. Manjunath Padigar & Ljubomir Pupovac & Ashish Sinha & Rajendra Srivastava, 2022. "The effect of marketing department power on investor responses to announcements of AI-embedded new product innovations," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1277-1298, November.
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