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CP10 (Full Document) - European Banking Authority

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Benchmarking the outputs of internal ratings systems against<br />

external data<br />

341. Benchmarking involves assessing the consistency of the estimated<br />

parameters with those obtained by other estimation techniques (such<br />

as other rating systems), and potentially using other data sources<br />

(such as other institutions or ECAIs). It helps to assess whether<br />

institutions have quantified the risk parameters accurately by<br />

comparing them with a set of ‘reference data’ consisting of<br />

alternative PD, LGD and CF estimates from internal and external<br />

sources.<br />

342. When performing benchmarking risk estimates against other<br />

sources, institutions are expected to investigate the sources of<br />

substantial discrepancies between the values of risk parameters<br />

resulting from their internal risk rating system and those obtained<br />

from the other sources.<br />

343. Regardless of the benchmarking method used, institutions shall<br />

demonstrate to supervisors that their rating systems are performing<br />

in compliance with the minimum requirements in Annex VII, Part 4.<br />

344. At a minimum, the assessment of benchmarking results should focus<br />

on the five points listed in paragraph 340 of this paper. Specifically,<br />

institutions should consider:<br />

· The underlying rating philosophy used in developing rating<br />

systems (e.g., are PDs derived from point­in­time or through­thecycle<br />

ratings?). Institutions that use different rating systems will<br />

need to take into account any differences in their rating<br />

philosophies when backtesting estimates of risk parameters.<br />

Failing to do so would lead to erroneously assigning differences in<br />

rating philosophies to inaccuracies in reported estimates;<br />

· The procedure for establishing tolerance thresholds for validation,<br />

and the list (at least in broad terms) of the types of possible<br />

responses when thresholds are breached;<br />

· The additional qualitative elements of their implementation of<br />

benchmarking;<br />

· The identification of unanticipated changes over time that might<br />

affect benchmarking results;<br />

· At a minimum, institutions should adopt and document policies<br />

which explain the objectives and logic underlying their<br />

benchmarking exercises.<br />

3.5.3. Low­default portfolios<br />

345. The CRD applies certain conditions to PD estimations (for example,<br />

the institution must estimate long­run, forward­looking expected<br />

default rates for each rating grade, with an appropriate margin of<br />

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