Introduction: One of the key challenges of using machine learning (ML) is the lack of explainability which progressively decreases as the model complexity increases starting
Category: model risk
Model Risk – view from Actuarial Industry
View of model risk from the actuarial industry with some unique insights into types of model users and how they impact model risk and expected vs unexpected model risk error.
TRIM interim results – April 2019
BackgroundTargeted Review of Internal Models (TRIM) is a regulation under ECB (European Central Bank) which is designed to bring common understanding and consistency across capital
