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AI Summary of Article 174 Use of models

Institutions must employ robust statistical or mathematical models to assign exposures to obligor or facility grades, ensuring that these models possess good predictive power without distorting capital requirements. A thorough process for vetting data inputs is essential, focusing on their accuracy, completeness, and relevance to the institution's actual obligors.

Additionally, regular model validation cycles are crucial, encompassing performance monitoring, specification reviews, and outcome testing. The integration of human judgement is also vital, facilitating an oversight mechanism that mitigates model biases and enhances the accuracy of assessments, with documented procedures for combining model outputs and expert insights.

Version status: Amended | Document consolidation status: Updated to reflect all known changes
Version date: 1 January 2025 - onwards
Version 5 of 5

Article 174 Use of models

Institutions shall use statistical or other mathematical methods ("models") to assign exposures to obligor or facility grades or pools. The following requirements shall be met:

(a)the model shall have good predictive power and own funds requirements shall not be distorted as a result of its use;

(b) the institution shall have in place a process for vetting data inputs into the model, which includes an assessment of the accuracy, completeness and appropriateness of the data;

(c) the data used to build the model shall be representative of the population of the institution's actual obligors or exposures;

(d) the institution shall have a regular cycle of model validation that includes monitoring of model performance and stability; review of model specification; and testing of model outputs against outcomes;

(e) the institution shall complement the statistical model by human judgement and human oversight to review model-based assignments and to ensure that the models are used appropriately. Review procedures shall aim at finding and limiting errors associated with model weaknesses. Human judgements shall take into account all relevant information not considered by the model. The institution shall document how human judgement and model results are to be combined.