GCRI · Mathematics, statistics and data
Spatial intelligenceObservations, models and their uncertainty in one view
Scenario design and stress testing construct plausible, severe future conditions to examine how systems and institutions would perform. They complement probabilistic analysis where data are scarce or futures are deeply uncertain. Systemic Risk Management stewards this page for the Nexus Consortium.
narrative scenario development; reverse stress testing; macro-financial stress testing; multi-hazard scenario construction; tabletop exercises; cascading impact mapping.
historical analogues; model outputs; expert workshops; supervisory scenario frameworks; exposure and balance sheet data.
Scenarios are reviewed for plausibility, internal consistency and severity relative to history. Exercise outcomes are compared with actual events when they occur.
Scenario choice can reflect prevailing assumptions and miss novel combinations. Results depend on how participants and models represent responses.
Stress tests reveal vulnerabilities that arise when several risks materialise together. They inform capital, contingency and coordination plans across sectors.
| Reference | What it sets |
|---|---|
| NGFS scenarios | Climate scenarios for financial analysis |
| Supervisory stress testing | Severe but plausible scenarios |
| Reverse stress testing | Scenarios that break a system |
Scenarios explore futures that cannot be assigned reliable probabilities. Systemic stress tests combine shocks across systems: a heat wave with a grid failure and a cyber incident. Reverse stress tests start from failure and ask what would cause it.
Systemic Risk Management stewards scenario design and stress testing: it keeps this description current and reviews how the method is applied across the platforms.
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