Advances of artificial intelligence in finance : a review and bibliometric analysis
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Date
2024-09-09
Authors
Ζαχαροπούλου, Μαρίνα Ιωάννα
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Abstract
The purpose of this dissertation is to explore the advances of Artificial Intelligence (AI) in the
finance sector, specifically through a comprehensive review and bibliometric analysis. AI has
emerged as a transformative force in finance, driving innovation and enhancing the efficiency of
various financial processes. This thesis systematically examines AI's role in key areas such as risk
management, financial forecasting, investment analysis, and customer service. A detailed
bibliometric analysis of relevant literature from 2014 to 2024 is conducted, highlighting the most
influential research contributions, trends, and key players in the field. Furthermore, the study
delves into specific applications of AI, including its impact on bankruptcy prediction, credit-risk
assessment, financial fraud detection, and portfolio management. The findings reveal a significant
and growing body of research that underscores the critical role of AI in modern financial systems.
The results suggest that AI not only improves operational efficiency but also provides competitive
advantages to financial institutions. However, the integration of AI also presents challenges,
including ethical considerations and the need for robust data protection mechanisms. This thesis
contributes to the understanding of AI’s evolving role in finance and offers insights into future
research directions and practical applications.
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Keywords
Artificial intelligence, Machine learning, Finance