A05 · NETWORK · risk-transmissionGRA dossier · service level R0
GRACapital Markets NexusEstablished
Financial-system transmission

Financial-system transmission

Shocks to the real economy and vulnerabilities inside the financial system reach capital markets through identifiable channels: repricing, liquidity and funding, leverage and margin, common exposures and infrastructure. This page shows how those channels work, how they interact and how stress can travel onwards from markets to banks, funds, insurers, governments and the real economy. Most episodes involve several channels at once.

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

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

Layers 3

Climate signals, for this page

Latest available

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

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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, population density and flood water 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 · NASA EONET · 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
  • 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
  • GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); 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: NASA EONET Events are indicative, not official warnings.
  • 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
  • Active fires and thermal anomalies, last day: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026

STEM methods
5
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
1
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 Capital Markets 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 bid-ask spread on benchmark securities and option-adjusted credit spread by rating band; 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: Capital Markets 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 Capital markets.Placeholder names and illustrative values; a design, not a record or a live system.
04Channels

Ways risk reaches capital markets.

Repricing

News to prices

Changes in expected cash flows or risk premia, from earnings, policy, geopolitics or climate, revalue securities across markets.

Liquidity and funding

Ability to trade and borrow

Dealers' balance sheets and funding markets determine whether trades can be absorbed. See Market liquidity.

Leverage and margin

Forced selling

Margin calls and leverage limits can force sales into falling markets, amplifying moves.

05Spatial finance

Hazard geography in sovereign and corporate bonds.

Bond markets transmit physical shocks through issuers' revenues and assets and through sovereign balance sheets. Mapping issuers' located assets and countries' hazard exposure beside their outstanding debt shows which segments of a bond index are exposed to the same event. Design index only, not a rating. Sovereign channels continue at Sovereign Capital Nexus; foresight on geopolitical shocks at GRF geopolitical futures.

06Central clearing

Concentration at the clearing house.

Central clearing reduces bilateral counterparty risk and concentrates it at central counterparties. A CCP's default waterfall, margin model and recovery tools decide how a member default is absorbed. The CPMI-IOSCO principles set the standards; FSB guidance covers CCP resolution. Topic depth at clearing and settlement.

07Amplifiers

Why moves can exceed fundamentals.

  1. 01

    Common exposures

    Many investors holding similar assets or following similar strategies sell at the same time. See Market concentration.

  2. 02

    Collateral spirals

    Falling asset values reduce collateral, prompting more margin calls and sales.

  3. 03

    Liquidity mismatch

    Funds offering daily redemption while holding less liquid assets can face run dynamics.

  4. 04

    Infrastructure stress

    Operational problems or margin procyclicality at central counterparties transmit stress to members. See Clearing and settlement.

  5. 05

    Information failures

    Poor or delayed data increase uncertainty and widen spreads. See Market data quality.

08Onward transmission

From markets to the wider system.

Stress in capital markets reaches banks through securities holdings and funding costs, insurers and pension funds through asset values and collateral needs, governments through borrowing costs, and the real economy through the cost and availability of finance. System-wide effects are studied in Financial Stability, and governance dialogue is convened by Capital Nexus at The Global Risks Forum (GRF). A Nexus Universe theme for this field is market liquidity under geopolitical shock; see test in Nexus Universe.

09Analysis

Sector-level, aggregated, with limits.

Transmission analysis uses aggregated data and published research. It does not assess individual firms, recommend transactions or constitute investment advice. Methods draw on network science and contagion and econometrics, and scenarios carry their assumptions.

Any discussion among firms takes place under GRA's competition safeguards, set out in a written competition policy that counsel reviews before membership opens: no exchange of prices, positions, client terms or strategies, and data from firms only in aggregated form.

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.
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 forecast?
No. It shows how stress could travel. Scenarios are labelled as such and carry their assumptions.
Which channel matters most?
It depends on the shock. Recent episodes suggest liquidity, leverage and margin dynamics often determine how far an initial shock is amplified.
Capital Markets Nexus

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