Exploring Complexity: A Bibliometric Analysis of Agent-Based Modeling in Finance and Banking

Ștefan Ionescu, Camelia Delcea (), Ionuț Nica, Gabriel Dumitrescu, Claudiu-Emanuel Simion and Liviu-Adrian Cotfas
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Ștefan Ionescu: Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania
Camelia Delcea: Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania
Ionuț Nica: Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania
Gabriel Dumitrescu: Department of Accounting and Audit, Bucharest University of Economic Studies, 010552 Bucharest, Romania
Claudiu-Emanuel Simion: Doctoral School of Management, Bucharest University of Economic Studies, 010552 Bucharest, Romania
Liviu-Adrian Cotfas: Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania

IJFS, 2025, vol. 13, issue 2, 1-37

Abstract: This study conducts a comprehensive bibliometric analysis of the use of agent-based modeling (ABM) in finance and banking, aiming to uncover how this methodology has evolved over the past two decades. It addresses the following overarching question: How has ABM contributed to the development of financial research in terms of trends, key contributors, and thematic directions? The relevance of this topic is based on the growing complexity of financial systems and the limitations of traditional models in capturing dynamic interactions, contagion effects, and systemic risks. Using a refined dataset of 489 articles from the Web of Science (2000–2024), selected through a multi-step keyword and relevance screening process, we apply bibliometric techniques using R Studio (version 2024.12.1+563) and Bibliometrix (version 4.3.3). The analysis reveals stable publication growth, strong international collaborations (notably Italy, USA, and China), and core thematic areas such as risk management, market simulation, financial stability, and policy evaluation. The findings highlight both well-established and emerging research fronts, with agent-based models increasingly used to simulate real-world financial phenomena and support regulatory strategies. By mapping the intellectual structure of the field, this paper provides a solid foundation for future interdisciplinary research and practical insights for policymakers seeking innovative tools for financial supervision and decision making.

Keywords: agent-based modeling; finance; banking; bibliometric analysis; complexity (search for similar items in EconPapers)
JEL-codes: F2 F3 F41 F42 G1 G2 G3 (search for similar items in EconPapers)
Date: 2025
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