The Global Risks Alliance (GRA)
The methods Financial Regulation Nexus relies on, the assumptions they carry and the limits of what they can show.
GRA · Established · service level R0
The Financial Regulation Nexus methods page sets out the methods the platform relies on, among them financial economics and macro-finance, policy, institutional and decision science, and data engineering, interoperability and stewardship, with their assumptions, validation and limits. Each analysis lists its assumptions and data, reports ranges and confidence beside central estimates, is checked against observations or other models, and states what it cannot show.
Fig.How a finding is reviewed before it is published. Design, not a record.
For analysis and uncertainty, in GRA's spatial-finance reading, the map opens on night lights, population density and true-colour imagery with built-up and settlement extent from NASA GIBS, framed on World; every other NASA layer, live feed and forecast waits in the layer list.
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For analysis and uncertainty, in GRA's spatial-finance reading, the map opens on night lights, population density and true-colour imagery with built-up and settlement extent from NASA GIBS, framed on World; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.
Layers and dates
| Method | Question |
|---|---|
| Regulatory impact assessment | Costs and benefits of a rule before adoption |
| Ex post evaluation | Did a rule achieve its objective, as in the FSB evaluations of post-crisis reforms |
| Comparative mapping | How jurisdictions implement the same international standard |
| Peer review and assessment programmes | IMF-World Bank FSAPs, the Basel RCAP and IAIS implementation assessments |
Status claims on this platform are checked against the issuing body's own publication. Secondary commentary is used to find a record, never as the record. Data governance context at GRF digital and data governance.
Each analysis lists its assumptions and the data it depends on.
Ranges and confidence are reported alongside central estimates.
Models are checked against observations and, where possible, against other models.
What an analysis cannot show is stated beside what it can.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Uncertainty quantification | Characterising and propagating the uncertainties in a model to state confidence in its outputs. |
| Sensitivity analysis | Repeating an analysis under different assumptions to show how much the result depends on them. |
| Model validation | Independent testing that a model performs as intended and is fit for a stated use. |
| Financial economics and macro-finance | Financial economics and macro-finance study how asset prices, credit and financial institutions interact with the real economy. |
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.