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Financial Stability · Financial-system transmission

Financial-system transmission

A financial crisis moves in stages: a shock hits, vulnerabilities amplify it, stress spreads across institutions and markets, and the damage returns to the real economy, which feeds back into finance. Real-system shocks such as disasters, pandemics, energy disruptions and cyber incidents can start the sequence as surely as financial ones. This page shows how vulnerabilities propagate, as studied on Financial Stability by The Global Risks Alliance (GRA).

Publisher
The Global Risks Alliance
Field
Financial stability, Risk management and systemic risk, Capital markets and investment
Status
In development
Service level
R0: information and enquiries

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

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For financial-system transmission, in GRA's spatial-finance reading, the map opens on population density and night lights with built-up and settlement extent from NASA GIBS, framed on World; 3 further NASA layers wait in the 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
  • 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 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
  • 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
  • NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles 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 (5 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

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • 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
  • Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026

GeographyFor financial-system transmission, in GRA's spatial-finance reading, the map opens on population density and night lights with built-up and settlement extent from NASA GIBS, framed on World; 3 further NASA layers wait in the list.

STEM methods
5
Canonical methods this field applies
Topics
8
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 Stability 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 interbank exposures and g-SIB interconnectedness score; 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 Stability 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 stability.Placeholder names and illustrative values; a design, not a record or a live system.
04Stages

From shock to system.

  1. 01

    Shock

    A real or financial event causes losses or uncertainty: a disaster, a default, an outage, a sudden repricing.

  2. 02

    Amplification

    Leverage, liquidity mismatch and stretched valuations turn losses into forced selling and funding withdrawal.

  3. 03

    Contagion

    Stress spreads through direct exposures, common holdings, funding markets and confidence.

  4. 04

    Real economy

    Credit contracts, spending falls, firms fail and unemployment rises.

  5. 05

    Feedback

    Real-economy damage raises defaults and lowers asset values, deepening financial stress.

05Real-economy feedback

When the financial system feeds the shock back.

Transmission does not stop at balance sheets. When banks cut credit and insurers withdraw cover after a large event, firms delay investment and households cut spending, which lowers income and raises defaults further. That feedback separates a contained loss from a crisis. Topic depth at real-economy feedback; macroeconomic evidence at GCRI trade and external shocks.

06Nonbanks

Where leverage now sits.

A growing share of credit and market intermediation happens outside banks. The FSB's July 2025 recommendations cover monitoring, leverage in core markets and the counterparty risk management of bank lenders to nonbanks. Topic depth at nonbank financial intermediation.

07Channels

How stress travels between institutions.

ChannelMechanism
Direct exposuresLosses on loans, derivatives and securities issued by a failing institution
Fire salesForced selling depresses prices and imposes losses on all holders
Funding runsLenders withdraw short-term funding from institutions seen as exposed
Margin and collateralVolatility raises margin calls, draining liquidity
InformationUncertainty about who is exposed causes withdrawal from sound institutions too
Shared infrastructureFailure of a payment, clearing or technology provider affects all users

Channels describe mechanisms, not measured strengths.

08Amplifiers

Why the same shock can be mild or severe.

The size of a crisis depends less on the initial shock than on the state of the system when it arrives. High leverage, short-term funding of illiquid assets, stretched valuations and concentrated exposures turn moderate losses into forced selling and withdrawal of funding. A resilient system, with adequate buffers, transparent exposures and functioning backstops, can absorb the same shock with limited spillover. Analysis therefore looks at vulnerabilities before shocks, so that the industry understands where amplification would come from.

09Real-system shocks

Where physical risk meets finance.

Shocks from outside finance can be large, correlated and sudden, and they often arrive with little warning in the financial data itself. A severe disaster can hit insurers, banks and public budgets in one region at once; an energy shock can raise defaults across industries; a cyber incident at a shared provider can halt services for many institutions. The evidence on these shocks comes from The Global Centre for Risk and Innovation (GCRI), for example on cascades and interdependence.

Analysis uses network science, agent-based modelling and scenario design with aggregated sector data. It does not assess individual firms, recommend transactions or constitute investment advice; see analysis and uncertainty.

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 this a forecast of the next crisis?
No. It describes mechanisms. Scenarios are published separately and labelled with their assumptions.
Why include non-financial shocks?
Because disasters, pandemics, energy disruptions and cyber incidents can trigger or deepen financial stress.
How does this relate to Banking Nexus?
Banking Nexus traces transmission through banks; see banking transmission. This page covers the whole system.
Financial Stability

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