A08 · NETWORK · risk-transmissionGRA dossier · service level R0
GRAInstitutional Funds NexusEstablished
Financial-system transmission

Financial-system transmission

Risks to institutional funds rarely stay inside them. Physical, demographic, technological and market shocks reach fund balance sheets through asset values, liability values and liquidity, and funds in turn transmit stress to markets, sponsors, members and public finances. This page shows the channels through which real-system and financial vulnerabilities propagate, using sector-level, aggregated analysis. It does not assess individual funds, recommend transactions or constitute advice.

Publisher
The Global Risks Alliance
Field
Capital markets and investment, Society and human development
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

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 population density, night lights 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
  • 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
  • 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

  • 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
  • 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

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

STEM methods
4
Canonical methods this field applies
Topics
8
Subject pages in the field
Counterparts
5
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 Institutional Funds 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 funding ratio on the technical provisions basis and funding ratio on a buyout or solvency basis; 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: Institutional Funds 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 Institutional funds.Placeholder names and illustrative values; a design, not a record or a live system.
04Into the funds

How risk reaches institutional balance sheets.

OriginChannelEffect on funds
Physical climate hazardsDamage to real assets and to companies in the portfolioLower asset values, revaluation of infrastructure and property
Transition and technology changeShifts in policy, prices and technologyRevaluation of sectors, stranded or newly valuable assets
Demographic change and healthLongevity, mortality and contributor-to-beneficiary ratiosHigher or lower liabilities and changing cash flows
Inflation and interest ratesDiscount rates and indexationChanges in liability values and hedging positions
Market stressPrice falls and widening spreadsLower funding levels and collateral calls
05Channels

How funds absorb and pass on shocks.

  • As shock absorbers: long horizons let funds hold through volatility, if liquidity allows.
  • As amplifiers: collateral calls and rebalancing rules can force sales in stress.
  • Through sponsors: a weakened sponsoring employer changes the fund's covenant.
  • Through members: benefit adequacy falls when returns and inflation diverge.
06Spatial view

Concentration in home markets.

Funds often hold much of their real estate and infrastructure in their home region, so a regional hazard can hit assets and sponsor at once. Mapping holdings and sponsor operations together shows that overlap. Topic depth at institutional concentration.

07Out of the funds

How funds can transmit stress onwards.

Markets

Forced sales and liquidity

Collateral calls on liability hedges can force rapid sales of liquid assets, amplifying price moves when many funds act together.

Sponsors and states

Contributions and public backstops

Funding shortfalls can require higher contributions from employers or public budgets, affecting firms and fiscal positions.

Members and society

Retirement incomes

Reduced benefits or lower defined contribution outcomes affect household income and consumption, and public trust in saving.

08Amplifiers

Why stress can grow as it travels.

Common exposures and similar models mean many funds respond to the same signal in the same way. Leverage in liability-driven strategies concentrates liquidity needs into short windows. Infrequent valuation of private assets can delay recognition of losses and shift the burden of rebalancing to liquid holdings. Concentration in the same managers, custodians and data providers creates shared operational dependencies. See liquidity and private assets, institutional concentration and asset-liability management.

These links connect institutional funds to wider financial stability, studied by Financial Stability at GRA, and to the social conditions that shape long-term liabilities, studied at The Global Centre for Risk and Innovation (GCRI) by Society and Human Development. Back to the financial discipline overview.

09Analysis

Sector-level, aggregated, with limits.

Analysis uses public and aggregated data at sector level. It does not assess individual funds, recommend transactions or constitute investment advice. Scenarios state their assumptions and are not forecasts.

Any data from institutions is designed to be aggregated before use, under the safeguards set out in GRA's written competition policy, which counsel reviews before membership opens.

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 forecast?
No. It shows channels through which stress could travel. Scenarios are labelled as such and carry their assumptions.
Why do liability hedges create liquidity risk?
Because derivatives used to hedge interest rate and inflation exposure require collateral when markets move against them. A sharp move can require large amounts of cash at short notice, which funds may raise by selling assets.
Institutional Funds Nexus

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