Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms
- DOI
- 10.22108/amf.2025.143030.1929
- Published
- 12
- Container
- Journal of Asset Management and Financing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.22108/amf.2025.143030.1929,
title = {Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms},
author = {Hamed Naderi and Mohammad Ali Rastegar Sorkhe and Bakhtiar Ostadi and Mehrdad Kargari},
year = {2025},
journal = {Journal of Asset Management and Financing},
doi = {10.22108/amf.2025.143030.1929},
url = {https://doi.org/10.22108/amf.2025.143030.1929}
}RIS
TY - JOUR TI - Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms AU - Hamed Naderi AU - Mohammad Ali Rastegar Sorkhe AU - Bakhtiar Ostadi AU - Mehrdad Kargari PY - 2025 JO - Journal of Asset Management and Financing DO - 10.22108/amf.2025.143030.1929 UR - https://doi.org/10.22108/amf.2025.143030.1929 ER -
APA
Naderi, H., Sorkhe, M. A. R., Ostadi, B., & Kargari, M. (2025). Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms. Journal of Asset Management and Financing. https://doi.org/10.22108/amf.2025.143030.1929
Source records
- doaj · retrieved 2026-09-25T16:49:44.738Z