Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/05569A92-58A8-4E80-BBE4-C5F3712410A1 | ||
| Year | 2025 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Asterios-Marios Giovas, "A review of the applications of intelligent computational methods in financial risk management", Diploma Work, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2025 https://doi.org/10.26233/heallink.tuc.104809 | ||
| Appears in Collections |
This dissertation focuses on the systematic bibliometric review and analysis of Computational Intelligence (CI) methods applied to financial risk management. Initially, the various types of financial risks are presented, along with the algorithms that constitute the core of CI techniques, in order to establish the necessary theoretical background for understanding the research. Subsequently, a literature review of CI methods applied in the financial sector was conducted, analyzing the main techniques, their advantages, and their applications. Then, to achieve the objectives of the study, the methodology of the Systematic Bibliometric Review (SBR) was adopted, involving the collection and analysis of scientific articles from international databases, following the PRISMA framework. The data analysis was carried out using the R software and the Bibliometrix package, aiming to record the most widely used CI methods, the types of financial risks examined, as well as the evaluation tools and techniques utilized in the literature. Finally, the findings highlight the growing importance of CI methods in improving risk prediction and analysis, while significant research gaps are identified, providing opportunities for further investigation. This study contributes to the mapping of the research field and offers valuable insights and directions for future approaches in financial risk management.
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