Credit conversion factors for revolving facilities, overdrafts and off-balance commitments, estimated from observed drawdown behaviour and designed around the CRR3 rules.
Fixed-horizon approach, twelve months before default, with alternatives tested.
Computed per facility, with negative and above-100% values treated explicitly.
Segment by utilisation, product type and limit behaviour.
Calibrate, add downturn and conservatism, and apply regulatory floors.
| Data | Needed | If missing or incomplete |
|---|---|---|
| Limit and drawn balances (monthly) | Required | — |
| Default dates | Required | — |
| Limit changes | Helpful | Assumed constant, with added conservatism |
| Product and covenant data | Helpful | Product-level segmentation only |
Each comes with a recommended option, the reason and any data gap. The model owner approves the set at the design gate.
Shown next to each result. A test outside its threshold stays visible and becomes a limitation in the documentation.
| Test | Group | Threshold |
|---|---|---|
| Realised versus predicted CCF | Back-testing | Realised ≤ predicted + 3% |
| Regulatory floor checks | Regulatory | Floors entered for every product |
| Outlier and limit-change treatment | Data | ≤ 20% of CCFs treated |
| Stability over time | Stability | |trend| ≤ 2 points a year |
| Back-testing by segment | Back-testing | Reported |
We'll walk through your use case and show the product on data structured like yours.