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CP10 (Full Document) - European Banking Authority

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institution–specific. Exactly how the four elements are combined<br />

(i.e., the weighting of the four elements) is up to the institution.<br />

456. The chain of processes for evaluating the availability of the four<br />

elements should be consistent with the institution’s general risk<br />

management framework:<br />

· Institutions should have internal documentation specifying in<br />

detail how the four elements are combined and weighted.<br />

· The documentation should include a description of process<br />

modelling that illustrates the use of the four elements.<br />

4.3.4.2. AMA four elements: qualitative inputs<br />

457. Some of the four elements – or parts of them – may contain<br />

qualitative data. Qualitative data generally relate to:<br />

· An attribute, such as the quality of the control level on a trading<br />

floor, that can only be described qualitatively. Another example is<br />

the use of alternative methods such as scorecards to determine<br />

capital requirements due to the unreliability or scarceness of<br />

statistical historical loss data;<br />

· A quantitative situation that can only be appraised qualitatively (a<br />

‘low’ or ‘very low’ probability)<br />

· Internal data (the location of loss, the gender of a person<br />

committing fraud, etc.).<br />

458. The CRD allows qualitative data to play an important role. Despite<br />

their inherent limitations, institutions are allowed to use them for<br />

calculating the regulatory capital requirements.<br />

459. AMA models that use qualitative data should be built by specialists<br />

and used with particular circumspection and care.<br />

460. Institutions that use qualitative data should demonstrate to their<br />

supervisors that:<br />

· They are sufficiently skilled at handling qualitative data;<br />

· They have done everything possible to remove biases, in all<br />

business lines and geographical locations;<br />

· The qualitative data are relevant to precisely defined risk<br />

variables; and<br />

· There is sufficient evidence that the qualitative data are relevant<br />

to the intended risk objectives. For example, if a qualitative<br />

scorecard is used to track internal fraud, the institution should<br />

monitor the evolution of the correlation between the score and<br />

observed fraud losses over time.<br />

461. Supervisors should assess the relevance and appropriateness of the<br />

qualitative data used by institutions in computing their capital<br />

requirements. They should take into account the institution’s<br />

motivation for using qualitative data (e.g., whether it is to<br />

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