Related provisions for BIPRU 4.3.88
1 - 8 of 8 items.
(1) This paragraph applies to the use of statistical models and/or other mechanical methods to assign exposures to obligor grades, obligor pools, facility grades or facility pools.(2) A firm must be able to demonstrate to the FSA that the model has good predictive power and that capital requirements are not distorted as a result of its use.(3) The input variables to the model must form a reasonable and effective basis for the resulting predictions. The model must not have material
To the extent that a firm associates or maps its internal grades to the scale used by an ECAI or similar organisations and then attributes the default rate observed for the external organisation's grades to the firm's grades, mappings must be based on a comparison of internal rating criteria to the criteria used by the external organisation and on a comparison of the internal and external ratings of any common obligors. Biases or inconsistencies in the mapping approach or underlying
Irrespective of whether a firm is using external, internal, or pooled data sources, or a combination of the three, for its PD estimation, the length of the underlying historical observation period used must be at least five years for at least one source. If the available observation period spans a longer period for any source, and this data is relevant, this longer period must be used. A firm not permitted to use own estimates of LGDs or conversion factors may have, when it implements
(1) A firm must meet the standards set out in (2) to (9) for the purpose of calculating capital requirements.(2) The estimate of potential loss must be robust to adverse market movements relevant to the long-term risk profile of the firm's specific holdings. The data used to represent return distributions must reflect the longest sample period for which data is available and be meaningful in representing the risk profile of the firm's specific equity exposures. The data used must
A firm must make use of other quantitative validation tools and comparisons with external data sources. The analysis must be based on data that are appropriate to the portfolio, are updated regularly, and cover a relevant observation period. A firm's internal assessments of the performance of its models must be based on as long a period as possible.[Note:BCD Annex VII Part 4 point 121]
A firm's systems for the management and rating of credit risk exposures must be sound and implemented with integrity and, in particular, they must meet the following standards in accordance with the minimum IRB standards:(1) the firm'srating systems provide for a meaningful assessment of obligor and transaction characteristics, a meaningful differentiation of risk and accurate and consistent quantitative estimates of risk;(2) internal ratings and default and loss estimates used
The estimates for determining the risk parameters PD, LGD, conversion factor and EL must reflect all relevant information available to the purchasing firm regarding the quality of the underlying receivables, including data for similar pools provided by the seller, by the purchasing firm, or by external sources. The purchasing firm must evaluate any data relied upon which is provided by the seller.[Note: BCD Annex VII Part 4 point 53]
Estimates of LGD must be based on data over a minimum of five years. Notwithstanding BIPRU 4.3.99 R (Default weighted average):(1) a firm need not give equal importance to historic data if this is permitted by its IRB permission; and(2) (in the case of a firm with an IRB permission that permits this treatment of historic data) the firm must be able to convince the FSA that more recent data is a better predictor of loss rates.[Note:BCD Annex VII Part 4 point 86 (part)]