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AI Summary of Article 179 Overall requirements for estimation
This document outlines the rigorous requirements institutions must meet when quantifying risk parameters associated with rating grades or pools. Institutions are mandated to base their estimates of Probability of Default (PD), Loss Given Default (LGD), conversion factors, and Expected Loss (EL) on comprehensive data and methodologies that reflect historical and empirical evidence, rather than solely judgment.
The guidelines further stipulate that institutions must take into account changes in lending practices, maintain comparability of data samples, and add a margin of conservatism to estimate errors. For pooled data, institutions bear the responsibility for ensuring the integrity of their rating systems while demonstrating the ability to monitor and audit effectively.
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Article 179 Overall requirements for estimation
1. In quantifying the risk parameters to be associated with rating grades or pools, institutions shall apply the following requirements:
(a) an institution's own estimates of the risk parameters PD, LGD, conversion factor and EL shall incorporate all relevant data, information and methods. The estimates shall be derived using both historical experience and empirical evidence, and not based purely on judgemental considerations. The estimates shall be plausible and intuitive and shall be based on the material drivers of the respective risk parameters. The less data an institution has, the more conservative it shall be in its estimation;
(b) an institution shall be able to provide a breakdown of its loss experience in terms of default frequency, LGD, conversion factor, or loss where EL estimates are used, by the factors it sees as the drivers of the respective risk parameters. The institution's estimates shall be representative of long run experience;