Model limitations and assumptions
Known constraints, simplifications, judgments, data boundaries, and conditions that affect where a model is reliable. They should be documented, communicated to users, reflected in approvals, monitored, and mitigated when material.
How the term is used in model risk management
Known constraints, simplifications, judgments, data boundaries, and conditions that affect where a model is reliable. They should be documented, communicated to users, reflected in approvals, monitored, and mitigated when material. The exact implementation varies by institution, model type, risk rating, and governing framework. Use the linked regulatory pages and buyer guides below for scope-specific requirements.