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Machine Learning Applied to Banking Supervision a Literature Review
2021
Risks
Machine learning (ML) has revolutionised data analysis over the past decade. Like innumerous other industries heavily reliant on accurate information, banking supervision stands to benefit greatly from this technological advance. The objective of this review is to provide a comprehensive walk-through of how the most common ML techniques have been applied to risk assessment in banking, focusing on a supervisory perspective. We searched Google Scholar, Springer Link, and ScienceDirect databases
doi:10.3390/risks9070136
fatcat:gqjub6czvjao3fbqwf34otgwre