Run a scenario or stress test
Configure a pathway or a structured shock, run it across entities and draws in Model Lab, propagate it through the coupling network and read the tails.
- Choose the scenario family instant
- Configure shocks and horizon self-serve
- Model runs 3 hours
- Coupling propagation 1 hour
- Tail and exceedance 1 hour
- Results and drivers instant
- Analyst sign-off 2 days
Run a scenario or stress test
Configure a pathway or a structured shock, run it across entities and draws in Model Lab, propagate it through the coupling network and read the tails.
Run a scenario or stress test
End to end on the longest path: about 2.2 d of proposed target service levels. Gates wait for the people named; bars with a fading end have no fixed length.
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Choose the scenario familyDesign · You · instantWarming, socio-economic or transition families · Or a structured shock: fiscal, compound hazard, supplyModel Lab
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Configure shocks and horizonDesign · You · self-serveShock size, timing and entry points · Horizon to 2030, 2050 or 2100Model LabTested model kernels
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Model runs matrix · entities × scenarios × drawsRun · Model Lab · 3 hoursKernels from the method library · Seeds recorded per runModel LabTested model kernelsMonte Carlo engine
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Coupling propagationPropagate · Dependency network · 1 hourDebtRank and threshold cascades · Cross-border spilloversDependency networkTested model kernels
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Tail and exceedancePropagate · Model Lab · 1 hourExceedance curves · 1-in-100 and 1-in-250 losses · Expected shortfallMotora Monte Carlo
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Results and driversRead · You · instantFan charts against class bounds · Driver decomposition · Export with citationModel LabProvenance (W3C PROV)
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Analyst sign-off approvalRead · Your reviewer · 2 daysAssumptions and limits recordedDefterê PostgreSQL (ewlehiya li ser asta rêzê)
| Berhem | Kar | Kî | Qonax |
|---|---|---|---|
| Scenario spec | Choose the scenario family | Tu | Design |
| Run configuration | Configure shocks and horizon | Tu | Design |
| Run record with seed and digest | Model runs | Model Lab | Run |
| Cascade paths | Coupling propagation | Dependency network | Propagate |
| Tail report | Tail and exceedance | Model Lab | Propagate |
| Results pack | Results and drivers | Tu | Bixwîne |
| Sign-off | Analyst sign-off | Your reviewer | Bixwîne |
Solutions that use this journey
Multilaterals and development banks
Screen country and project context, read fiscal resilience and protection gaps, and design pre-arranged finance.
See the solution
Public sectorBankên navendî û çavdêr
Design supervisory scenarios, read systemic coupling and replicate methods.
See the solution
EnterpriseSîgortekar û ji nû ve sîgortekar
Read hazard, exposure and protection gaps, run tails and study parametric index design.
See the solution
Public sectorCities and infrastructure operators
Read hexagon-level hazard and dependency layers for planning, investment and continuity.
See the solution
6 components
Each job names the component it runs on; open a job on the canvas for its steps, checks and artefacts.
Part of NXS-GRX (canonical data, provenance and risk) Models: Scenario pathways, stress tests, tail and exceedance analytics, coupling contagion and forecasting on the open method library, with tests and model cards.
Related journeys
Design a parametric trigger
Study an index trigger for pre-arranged finance: event history, basis risk and calibration, with review before any use. Information for design, not advice. 6 jobs · 1 gate · 5 checks.
Open the run
Models of the Index · TestTest and validate a model
Every model version is backtested, scored out of sample, compared with established indices and documented in a model card before use. 7 jobs · 1 gate · 11 checks.
Open the run
NXS-GRX Intelligence · ModelCompose a risk intelligence product with the risk engine
The risk engine resolves context, discovers capabilities by stable ID, routes by quality of intelligence, runs governed science and composes a product that keeps every input’s evidence and supported claim level. 10 jobs · 1 gate · 5 checks.
Open the run
Rewş
Rêbaz, avahî û pênaseyên The Global Risks Index pêşnivîseke xebatê ya amadekar in (2026), ji bo nirxandin û şîroveyê tên belavkirin, ne ji bo bicîhanînê. Heta ku çapek ji birrîneke delîlan a birêvebirî neyê weşandin, tu nirx xuya nabe; piştre nirx navber, çîn, çavkanî û rêya xwe ya rastkirinê bi xwe re tînin. Simulator rêbazên weşandî li ser hejmarên ku tu hildibijêrî dixebitînin û qet nirxeke NXS-GRX nîşan nadin.
NXS-GRX çi nîne
NXS-GRX agahiya lêkolîn û analîza xetereyê ye. Ew ne nirxandina krediyê an ESG ye û tu pîvaneke pileyan bi kar nayîne, ne pîvana referansê ya amûrên darayî ye, ne statîstîkên fermî ye, ne hişyariya awarte an dabeşkirina fermî ye, û ne şîret e. Divê ji bo nirxandina kesên xwezayî neyê bikaranîn. Çînên xetereyê bendên li ser pîvaneke weşandî ne, qet ne rêzkirina welatan an mirovan in.
Sazî û çavkanî
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Her nirx navê çavkaniyên xwe bi xwe re tîne, ku lîsansên xwe diparêzin. Navên derveyî tenê ji bo hevxebitînê tên gotin. Nivîsên ku Nexus nivîsandine dema weşanê ji bo CC BY 4.0 tên armanckirin.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.