Regulatory stress testing for IFRS 9 and CECL
Independently produced macroeconomic scenarios, built on more than 25 years of award-winning forecasting, to help lenders meet regulatory requirements with confidence.
IFRS 9 & CECL
Economic scenarios for IFRS 9 and CECL
Under IFRS 9 and CECL, forward-looking macroeconomic scenarios sit at the centre of the credit loss model. Our service covers UK and international markets for IFRS 9, and US national data plus all 50 states and DC for CECL.
| IFRS 9 | CECL | |
| Geographic coverage | UK and international | US national and all 50 states + DC |
| Update frequency | Quarterly + real time | Quarterly + real time |
| Packages | Off-the-shelf (UK only) or bespoke | Bespoke |
Our scenario framework
Up to six scenarios, calibrated to your book
Our default framework spans up to six scenarios across the distribution of plausible outcomes, each anchored to a specific percentile. The baseline is our modal forecast, the single most likely path, sitting close to the 50th percentile under neutral conditions.
| Scenario | Name | Percentile |
| U2 | Strong Upside | ~92nd |
| U1 | Mild Upside | ~75th |
| BL | Baseline | ~50th |
| D1 | Moderate Downside | ~25th |
| D2 | Severe Downside | ~10th |
| D3 | Extreme Downside | ~4th |
Built to flex
You can specify the number of scenarios, name them to match your own internal conventions, and set the percentile or cumulative-probability threshold each one should represent. For example, a client might instead ask for a four-scenario set such as:
Illustrative client-defined set
- Stronger Near-Term Rebound — 90% cumulative probability
- Baseline Forecast — 50% cumulative probability
- Moderate Downturn — 25% cumulative probability
- More Severe Recession — 10% cumulative probability
Whatever the configuration, every scenario is still built on the same underlying model and probability methodology. Scenario narratives adapt to the nature of the risk too, typically demand-led, but stagflationary when supply-side or price pressures dominate.
Meet the team
Meet our modelling team
Paul Ashworth
Chief Data & Modelling Economist
Alexandra Dreisin
Head of Modelling
Ruben Abargues
Economist
Alex Kerr
Economist
WHAT OUR CLIENTS SAY
"We're now fully integrating Capital Economics' risk scores into our internal reporting for monthly collectability assessments under US GAAP and IFRS. We fully trust the quality of Capital Economics' service and look forward to continuing and expanding our strategic partnership with the CE team."
Global Credit Risk Data Solutions, Meta Platforms