detected 2026-08-13 MODIFIED+9 −9§
no amending act named
applies from: unchanged
In point (d), the phrase referring to underestimation of the exposure measure now capitalises the term as 'Effective EPE' instead of the lowercase 'effective EPE' used previously.
Cited: Art. 294, v1 · Art. 294, v2
text before / after
32013R0575 → 02013R0575-20130628
Article 294
Validation requirements
1. As part of the initial and on-going validation of its CCR exposure model and its risk measures, an institution shall ensure that the following requirements are met:
(a) the institution shall carry out back-testing using historical data on movements in market risk factors prior to the permission by the competent authorities in accordance with Article 283(1). That back-testing shall consider a number of distinct prediction time horizons out to at least one year, over a range of various initialisation dates and covering a wide range of market conditions;
(b) the institution using the approach set out in Article 285(1)(b) shall regularly validate its model to test whether realised current exposures are consistent with prediction over all margin periods within one year. If some of the trades in the netting set have a maturity of less than one year, and the netting set has higher risk factor sensitivities without these trades, the validation shall take this into account;
(c) it shall back-test the performance of its CCR exposure model and the model's relevant risk measures as well as the market risk factor predictions. For collateralised trades, the prediction time horizons considered shall include those reflecting typical margin periods of risk applied in collateralised or margined trading;
(d) if the model validation indicates that effective Effective EPE is underestimated, the institution shall take the action necessary to address the inaccuracy of the model;
(e) it shall test the pricing models used to calculate CCR exposure for a given scenario of future shocks to market risk factors as … 522 unchanged words … all counterparties for which the models are used.
3. If back-testing indicates that a model is not sufficiently accurate, the competent authorities shall revoke its permission for the model, or impose appropriate measures to ensure that the model is improved promptly.