A09 · NETWORK · risk-transmissionGRA dossier · service level R0
GRAFinancial Regulation NexusEstablished
Risk transmission

Financial-system transmission

Financial and real-economy vulnerabilities reinforce each other. Shocks in the real economy reach financial institutions as losses and defaults; financial stress reaches the real economy as tighter credit, falling asset prices and lost confidence. This page shows how vulnerabilities propagate across that boundary and between institutions, and how regulatory design affects whether stress is absorbed or amplified. It describes channels; it does not assess any firm.

Publisher
The Global Risks Alliance
Field
Financial stability, Governance and institutions, Capital markets and investment
Status
Established
Service level
R0: information and enquiries

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Activity and exposure, for this page

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

For financial-system transmission, in GRA's spatial-finance reading, the map opens on night lights and population density 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.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · GDACS · CIESIN/Columbia, NASA SEDAC HBASESources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Context: CIESIN/Columbia, NASA SEDAC HBASE. Center for International Earth Science Information Network (CIESIN), Columbia University, and NASA Socioeconomic Data and Applications Center (SEDAC): Global Human Built-up And Settlement Extent (HBASE) 2010; Seto, Guneralp and Hutyra 2012, Global Grid of Probabilities of Urban Expansion to 2030; Global Urban Heat Island (UHI) Data Set, 2013.
  • Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024

STEM methods
4
Canonical methods this field applies
Topics
10
Subject pages in the field
Counterparts
6
Platforms in shared fields at GCRI, GRF and GRA
Report series
2
Nexus Reports series it contributes to
01In brief

The short answer.

Risk transmission in Financial Regulation Nexus is the path by which physical, transition, technology and systemic shocks reach the sector and travel onward through balance sheets, markets and the real economy. Analysis uses aggregated, sector-level indicators such as RCAP jurisdictional consistency grade and Basel III standards in force by jurisdiction; it assesses no individual firm and is not investment advice.

02Canvas

One field, three institutions.

Canvas · one field, three institutionsDesign, not a record
One field, three institutions: Financial Regulation Nexus and its counterpartsGCRI studies the field as science, GRF governs and convenes it, GRA builds shared financial understanding; the Nexus Universe tests work across them and the competent authorities decide. Design of the arrangement, not a record.

Fig.How GCRI, GRF and GRA share one field while the authorities decide. Design, not a record.

03Console

Field overview, in outline.

The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.

Field overview: the screen's structure, terms and states for Financial regulation.Placeholder names and illustrative values; a design, not a record or a live system.
04Channels

How risk reaches and leaves the sector.

Real economy to finance

Losses and defaults

Recessions, disasters, cyber incidents and transition shocks raise defaults, claims and asset write-downs on financial balance sheets.

Within finance

Contagion

Common exposures, funding links, fire sales and loss of confidence spread stress between institutions and markets.

Finance to real economy

Credit and confidence

Stressed institutions cut lending and raise prices for risk, which slows investment and can deepen the original shock.

05Cross-border

How regulatory differences transmit risk.

  • Arbitrage: activity moves to the least demanding regime; the FSB's 2025 nonbank leverage report names inconsistent treatment as a recommendation area.
  • Fragmentation: diverging rules raise the cost of cross-border activity and can trap liquidity in subsidiaries.
  • Resolution: a group failing across borders depends on cooperation agreements under the FSB Key Attributes.
  • Timing: staggered implementation, as with FRTB, shifts activity between jurisdictions in the interim.
06Spatial finance

Supervisory links on the map.

Supervisory colleges and crisis management groups link authorities across financial centres. Mapping them beside cross-border exposures shows where coordination would be tested. Topic depth at cross-border supervision.

07Amplifiers

Where regulation matters.

Some features of the financial system amplify shocks. Leverage magnifies losses relative to capital. Maturity and liquidity mismatches make institutions vulnerable to funding withdrawal. Rules or practices that respond mechanically to falling prices, such as margin calls and mark-to-market triggers, can force simultaneous selling. Concentration on common service providers, such as cloud platforms or market infrastructures, creates shared operational points of failure.

Regulation aims to dampen these amplifiers: capital and liquidity requirements build buffers, countercyclical tools release them in stress, resolution regimes contain failures, and operational resilience rules address shared dependencies. Research also examines unintended effects, such as rules that encourage the same behaviour across firms or push activity outside the regulated perimeter.

09Analysis

Sector-level, aggregated, with limits.

Analysis draws on financial economics and macro-finance and game theory, using published and aggregated data. Every channel map states its assumptions; see methods and uncertainty.

Analysis uses aggregated data at sector level. It does not assess individual firms, recommend transactions or constitute investment advice.

10Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Transmission channelThe route by which a shock reaches financial institutions' balance sheets.
ContagionTransmission of losses or stress from one institution or market to others.
Second-round effectsFeedback from bank losses to the economy, such as tighter credit deepening a downturn.
Common exposureHoldings of the same or similar assets by several institutions, which makes their losses move together.
11Sources

Where this page's references lead.

The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.

12Questions

Questions and answers.

Is competitor data shared?
No. Any data from firms is aggregated before use, under the safeguards set out in GRA's written competition policy, which counsel reviews before membership opens.
Is a transmission map a stress test?
No. It describes channels. Stress tests are carried out by authorities and firms under their own methods and authority.
Does the platform cover operational channels such as cyber incidents?
Yes, as a channel by which real-system disruption reaches financial institutions and spreads through shared service providers. Detailed cyber resilience analysis sits at GRA's financial cyber resilience platform.
Why include real-economy feedback?
Because the most damaging crises involve a loop between financial stress and the real economy. Studying one side alone misses the amplification.
Financial Regulation Nexus

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