Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms
This study investigates and predicts the likelihood of operational risk occurrence in the banking industry using machine learning algorithms. The primary objective is to analyze operational risk data and evaluate the performance of various machine learning models to develop effective tools for enhan...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
University of Isfahan
2025-12-01
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| Series: | Journal of Asset Management and Financing |
| Subjects: | |
| Online Access: | https://amf.ui.ac.ir/article_29425_a3f7f2ead626771faed263b0ed9ce778.pdf |
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