A-P04 · NETWORK · risk-transmissionGRA dossier · service level R0
GRAClimate and Nature Financial RiskIn development
Financial-system transmission

Financial-system transmission

Climate and nature risks start in the real economy, as damaged assets, disrupted supply chains, changing policies and degraded ecosystems, and reach the financial system through identifiable channels. This page shows how those channels work in insurance, banking and investment, how they interact and how stress can feed back from finance into the real economy, for example when cover or credit is withdrawn.

Publisher
The Global Risks Alliance
Field
Climate and hazards, Biodiversity and nature, Capital markets and investment
Status
In development
Service level
R0: information and enquiries

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Layers 2

Energy now, 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 population density and night lights with built-up and settlement extent from NASA GIBS, framed on World; 4 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 · CIESIN/Columbia, NASA SEDAC HBASE · GDACSSources 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
  • 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.
  • 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.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Optional layers (10 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
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026

STEM methods
5
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
10
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 Climate and Nature Financial Risk 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 loan exposure to high physical risk areas and collateral in flood zones; 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: Climate and Nature Financial Risk 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 Climate and nature financial risk.Placeholder names and illustrative values; a design, not a record or a live system.
04Channels

From the real economy to finance.

Physical

Hazard to loss

Damage and disruption become insurance claims, loan defaults and revaluations of property and firms.

Transition

Policy and technology change

Shifts in carbon prices, regulation, technology and demand alter the value of assets and liabilities.

Nature

Ecosystem degradation

Loss of water, soil, pollination or coastal protection raises costs and reduces revenues for dependent sectors.

05Three sectors

Climate shocks across insurance, banking and investment.

SectorFirst channelSecond-round channel
InsuranceClaims and reserve strengtheningRepricing and withdrawal of cover
BankingCollateral value and borrower incomeCredit tightening in exposed regions
InvestmentRepricing of exposed issuersRedemptions and forced sales
06Insurability

The link that ties them.

Where hazard rises faster than adaptation, cover becomes unaffordable or unavailable, and risk moves to lenders, owners and the state. Topic depth at adaptation and insurability; adaptation institutions at GRF adaptation institutions.

07Within finance

How risk moves between institutions.

  1. 01

    Insurance to banking

    When insurance becomes unaffordable or unavailable, mortgaged properties may lose value and credit risk rises. See Adaptation and insurability.

  2. 02

    Concentration

    Exposures clustered in exposed regions or sectors mean many institutions are hit by the same event or policy.

  3. 03

    Market repricing

    Sudden reassessment of risk can reprice securities across portfolios at once.

  4. 04

    Reinsurance and capital markets

    Catastrophe risk passed to reinsurers and investors links local events to global markets, a subject of Reinsurance and Catastrophe.

  5. 05

    Sovereign links

    Disasters strain public finances, affecting sovereign debt and the institutions that hold it; see Disaster Risk Finance.

08Feedback to the real economy

When finance amplifies physical risk.

Withdrawal of insurance or credit from exposed areas can reduce investment, lower property values and slow recovery, which in turn worsens physical vulnerability. Adaptation and risk reduction can break this loop. Institutional responses are convened at The Global Risks Forum (GRF), in Climate and Nature Governance, and a Nexus Universe theme for this field is physical and transition risk in one scenario; 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 advice. Methods draw on scenario design and stress testing and financial economics and macro-finance, and every scenario carries its 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, underwriting terms, positions 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.
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.
Can physical and transition risks occur together?
Yes. Scenarios increasingly combine them, for example a disorderly transition alongside rising physical losses. See Scenario analysis.
Is a transmission map a forecast?
No. It shows how stress could travel. Scenarios are labelled as such and carry their assumptions.
Climate and Nature Financial Risk

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