Compliance & Standards

Machine Learning and IRB Capital Requirements: Advantages, Risks, and Recommendations (Oct 2021)

Analyzes the use of machine learning in internal ratings-based capital models, weighing gains in predictive accuracy against model risk, opacity, and governance challenges. Recommends supervisory safeguards to align innovation with prudent bank capital regulation in the US.

Topics: risk, compliance, us regulation, standards

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