GRA · Institutional Funds Nexus
Spatial financeWhere capital meets hazard, exposure and transition
Fiduciary governance
Fiduciary duty asks the people who control a fund to act prudently and in the interest of its members or beneficiaries, not their own or the sponsor’s. In practice the duty is carried through boards, investment committees, consultants, managers and custodians, each with its own incentives. This page sets out how governance strengths and failures develop along that chain, how they are evidenced in public records, and what the evidence serves for the boards, appointing bodies and supervisors who hold accountability.
Fiduciary governance in seven parts.
- 01The questionFiduciary governance: how the risk develops
- 02IndicatorsWhat is measured, and how well
- 03SourcesWhere the evidence comes from
- 04DecisionsWho decides, and what the evidence serves
- 05Core questionsWhat experts ask
- 06MechanismsMechanisms and drivers
- 07Methods and dataHow it is studied, and where the methods stop
Fiduciary governance: how the risk develops.
Mandates, controls and accountability. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Delegation lengthens the chain
Trustees delegate to executives, consultants and external managers, who delegate further to sub-advisers and service providers. Each link adds cost and distance from members, and accountability weakens unless mandates, reporting and oversight are explicit.
Capacity lags complexity
Portfolios now include derivatives, private markets and sustainability obligations, while many boards meet a few times a year with part-time members. When skill and time fall behind complexity, boards rely on advice they cannot fully test.
Conflicts shape decisions
Sponsor-appointed trustees, political appointments in public funds, fee arrangements and adviser incentives can pull decisions away from members’ interests. Conflicts are managed by disclosure, independence and recusal, and fail quietly when those are missing.
Outcomes arrive late
The consequences of a governance decision on funding or returns may appear years after the board that made it has changed. Long feedback loops weaken learning and let short-term measures crowd out long-term objectives.
People and hazards in Oceania and the Pacific.
Population density, night lights and flood water over Oceania and the Pacific, from NASA GIBS. Each layer carries its own date.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
People and hazards, for this page
About this layer
- Evidence
- Estimated
- Source
- Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
- Provider
- NASA SEDAC (CIESIN, Columbia University)
- Licence
- CC BY 4.0
- Vintage
- null; Census-based estimate, static (2020)
- Resolution
- about 1 km grid
- Uncertainty
- Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS Black Marble (VNP46A2) (NASA LAADS DAAC)
- Provider
- NASA LAADS DAAC
- Licence
- NASA open data
- Vintage
- daily; Satellite radiance, corrected for moonlight and atmosphere
- Newest at build
- 2026-10-12
- Resolution
- about 500 m grid
- Uncertainty
- Satellite night-time radiance for the date shown; lights are a proxy for electricity use and outages, not a measurement of supply or access.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds leave gaps)
- Source
- VIIRS Global Flood Product (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds leave gaps
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (persistent cloud still leaves gaps)
- Source
- VIIRS NOAA-20 Level 3, 8-day (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- 8-day; Satellite 8-day composite; persistent cloud still leaves gaps
- Newest at build
- 2026-09-14
- Resolution
- about 1 km grid
- Uncertainty
- Satellite skin temperature of the ground over the 8 days ending on the date shown, a heat exposure indicator; not air temperature, heat index or a heat warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS NOAA-20 corrected reflectance (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite image
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Modelled (latest year GIBS publishes)
- Source
- MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
- Provider
- NASA LP DAAC
- Licence
- NASA open data
- Vintage
- yearly; Satellite classification; latest year GIBS publishes
- Newest at build
- 2024-01-01
- Resolution
- about 500 m grid
- Uncertainty
- Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
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.
People and hazards, framed on Oceania and the Pacific.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · CIESIN/Columbia, NASA SEDAC HBASE · U.S. Geological SurveySources 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 hexagonal 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 hexagonal 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 hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. 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 hexagonal 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 hexagonal 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 hexagonal 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 hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. 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 hexagonal cells where shown (modified). ODbL
- Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal 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.
- Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- Live: NASA EONET Events are indicative, not authority 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.
- Live: U.S. Geological Survey Events are indicative, not authority warnings.
- NASA GIBS: 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).
- 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
- 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
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Independent members on the governing board | percent of board seats | annual | Governance statements and annual reports | DECLARED |
| Trustee knowledge and training | hours per board member per year | annual | Governance statements | DECLARED |
| Total investment cost | basis points of average assets | annual | Cost disclosures and benchmarking surveys | REPORTED |
| Conflicts of interest declared and managed | count of register entries per year | annual | Conflicts registers and board minutes | DECLARED |
| Time since last review of the investment policy statement | months | annual | Statements of investment principles | DECLARED |
| Santiago Principles addressed in self-assessment | principles addressed against principles applicable | per self-assessment | IFSWF self-assessments | DECLARED |
| Supervisory findings on governance | count per year | annual | Regulator enforcement and supervision reports | Published statistics |
Asset-liability console.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Asset-liability console
Fiduciary governance · Pension fund P · Valuation date Q3
- Funding ratio, % of liabilities1020Normal
- Surplus at risk, 1-in-207pct of liabilitiesWatch
- Interest rate hedge75pct of liabilities
- Collateral cover1.6×Normal
Funding ratio projection
Collateral waterfall
| 1 | Cash and gilts | 220 | 0 |
| 2 | Index-linked | 515 | 1 |
| 3 | Credit | 405 | 5 |
| 4 | Illiquid | 609 | over 30 |
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| OECD Guidelines for Pension Fund Governance and related surveys | Governance structures, accountability and suitability requirements across OECD jurisdictions | Free reuse, attribution |
| IOPS working papers and supervisory guidelines | Supervisory practice on governance, internal controls and risk management | Free to read, IOPS terms |
| IFSWF Santiago Principles self-assessments | Members’ own accounts of legal basis, governance, investment and accountability | Free to read, IFSWF terms |
| The Pensions Regulator governance surveys and enforcement reports | Governance practice and regulatory action across UK occupational schemes | Open Government Licence |
| US Department of Labor Form 5500 data sets | Annual returns of private employee benefit plans, including service providers and fees | Public domain |
| National audit office reports on public pension and sovereign funds | Independent examinations of governance, controls and performance | Public records, terms per office |
| Annual reports and governance statements of funds | Board composition, committee structures, costs and policies | Public records, terms per fund |
Policy paths and what they do to the risk.
How three families of instruments change a risk outcome over time with adoption lags, coverage and compliance, the policy scenarios behind transition and physical risk assessments. Scenario: named assumptions about the future, not a forecast. The map on this page shows Oceania and the Pacific; the model itself is not tied to a place.
Controls
- Baseline trend of the outcome
- 2.0% a year
- Coverage of the instrument
- 70%
- Compliance
- 75%
- Effect size, against the teaching value
- 100%
- Years ahead
- 20 years
Readouts
- Largest reduction at the horizon
- Regulation
- Its reduction against the baseline
- 21%
Numbers, methods and sources
| Year | Baseline | Regulation | Economic incentive | Information and capacity |
|---|---|---|---|---|
| 0 | 100.0 | 99.5 | 98.8 | 99.1 |
| 1 | 102.0 | 101.2 | 100.1 | 99.8 |
| 2 | 104.0 | 102.5 | 101.1 | 99.9 |
| 3 | 106.1 | 103.5 | 101.6 | 100.0 |
| 4 | 108.2 | 103.7 | 101.8 | 100.7 |
| 5 | 110.4 | 103.2 | 101.7 | 102.1 |
| 6 | 112.6 | 102.0 | 101.6 | 103.9 |
| 7 | 114.9 | 100.4 | 101.6 | 105.9 |
| 8 | 117.2 | 99.2 | 102.1 | 108.0 |
| 9 | 119.5 | 98.6 | 102.9 | 110.1 |
| 10 | 121.9 | 98.9 | 104.2 | 112.3 |
| 11 | 124.3 | 99.7 | 105.7 | 114.5 |
| 12 | 126.8 | 101.1 | 107.4 | 116.8 |
| 13 | 129.4 | 102.7 | 109.4 | 119.2 |
| 14 | 131.9 | 104.5 | 111.4 | 121.6 |
| 15 | 134.6 | 106.5 | 113.5 | 124.0 |
| 16 | 137.3 | 108.5 | 115.7 | 126.5 |
| 17 | 140.0 | 110.7 | 118.0 | 129.0 |
| 18 | 142.8 | 112.9 | 120.4 | 131.6 |
| 19 | 145.7 | 115.1 | 122.8 | 134.2 |
| 20 | 148.6 | 117.4 | 125.2 | 136.9 |
Methods
- Tools of government Hood (1983), The Tools of Government, Macmillan
- Carrots, sticks and sermons Bemelmans-Videc, Rist and Vedung (1998), Transaction
- Diffusion of innovations Rogers (2003), Diffusion of Innovations, Free Press
- Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Data
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
- Borders Natural Earth
- Cities Natural Earth
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Institutional Funds Nexus in Foundry
- Tested at Institutional Funds Nexus in Universe
- Codified in Finance, Insurance and the Economy in Standards
- Published in Institutional Funds Nexus in Reports
- Taught in Faculty of Finance and Economics in Academy
Who decides, and what the evidence serves.
Institutional Funds Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Boards of trustees and fund governing boards | How to structure delegation, oversee managers and manage conflicts | Delegation maps, cost disclosures, conflict registers and comparable governance practice |
| Appointing bodies: sponsors, governments and member nomination processes | Who sits on the board and what skills and independence the board needs | Board composition and skill evidence against the fund’s complexity |
| Pension regulators and supervisory authorities | Whether governance and internal controls meet the code, and when to intervene | Governance statements, supervisory findings and comparable practice |
| Legislatures | What governance and accountability law to set for public pension and sovereign funds | Comparative governance frameworks and documented failures and remedies |
Outputs this topic produces
- Governance maps tracing delegation from members to managers and back
- Guides to fiduciary standards across ERISA, IORP II, UK codes and the Santiago Principles
- Research notes on board capacity, costs and conflicts drawn from public governance disclosures
- Question sets boards can use to test the advice they receive
Trace a shock in fiduciary governance to the balance sheet.
Assembled from the Nexus Standards area profile Asset owners and asset management: the shocks it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Pick an initiating shock and step through the cascade to see which exposures it reaches and where losses could concentrate. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise, not a forecast, a valuation, a rating or investment advice. To model a place of your own choosing, open the full System Builder.
Hazards
- Windstorm
- Geomagnetic storm
- Dam failure
- Widespread power outage (set off downstream)
- Large forest disturbance (set off downstream)
- Wildfire (set off downstream)
- Geomagnetically induced current (set off downstream)
- Ionospheric disturbance (set off downstream)
- Satellite space-environment anomaly (set off downstream)
- River flood (set off downstream)
- Flash flood (set off downstream)
- Mass displacement (set off downstream)
- Shoreline ice shove (set off downstream)
- Thermospheric drag surge (set off downstream)
- Radiation-belt electron enhancement (set off downstream)
- Seiche (set off downstream)
- Satellite-navigation disruption (set off downstream)
- Uncontrolled re-entry (set off downstream)
Systems and couplings
- Asset owners and asset management
- Banking Coupling
- Energy utilities and grids Coupling
- Central banks and financial supervisors Coupling
- Mining and extractives Coupling
Controls
NS-0Constitution and principlesNS-3Risk record UNIs (grammar, legacy crosswalk, allocation authority)NS-9Contextual UNIs (deployments, instances, programme instances)NS-11Verification and monitoring (evidence, attestations, zero-trust conformance observation)NS-14Conformance and crosswalk to external standardsNRS-U1Universe platform profile: Asset Management NexusNRS-H113Hazard family: Financial-system fragility (NHS-1 soc.financial-system)NRS-N6Infrastructure risk and resilienceNRS-C3Hazard, exposure, vulnerability and capacity dataNRS-M3Method fabric: Exposure and asset intelligenceNRS-N5Biodiversity and nature risk and resilience
Observation
- OECD Data Explorer (incl. Creditor Reporting System, insurance and pension statistics) (listed for reference)
- NGFS Scenario Explorer (listed for reference)
- GLEIF Golden Copy (LEI Level 1 and Level 2 data) (listed for reference)
- World Development Indicators (listed for reference)
- Number of companies publishing sustainability reports
- Market capitalisation of listed domestic companies (% of GDP)
- Total greenhouse gas emissions per year
Example geography
- Western Europe: 152 hexagonal cells
- Rain rate, last half hour (IMERG), NASA GIBS
- Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
- Vegetation disturbance alerts, 30 m (OPERA DIST-ALERT), NASA GIBS
- Carbon monoxide, smoke transport (AIRS), NASA GIBS
What experts ask.
Governance questions ask whether the right people decide well.
- What duties do trustees and boards owe, to whom, and how are they interpreted?
- Do boards have the expertise and information to oversee complex risks?
- How are decisions delegated to staff, managers and advisers, and how is delegation monitored?
- How are conflicts of interest identified and managed?
- How are long-term and systemic risks incorporated into fiduciary decisions?
What fiduciary governance means for exposure, loss and capital.
The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.
Transmission channels
How a shock in fiduciary governance reaches credit, market, underwriting, liquidity and operational risk, and feeds back.
Mechanisms and drivers.
Fiduciaries must act prudently and in the interests of beneficiaries. As portfolios and risks grow more complex, boards depend increasingly on delegated experts, which creates agency risks and requires strong oversight. Board composition, training, time and access to independent advice influence decision quality.
Long horizons create tension with short-term performance measurement, and interpretations of fiduciary duty regarding long-term and systemic risks continue to evolve through law, regulation and practice. Clear mandates, documented decisions and regular review support accountability.
How it is studied, and where the methods stop.
| Method or data | What it shows | Limits |
|---|---|---|
| Comparative governance analysis | How governance structures differ | Structures do not show behaviour |
| Board effectiveness reviews | Expertise, processes and dynamics | Often confidential and self-reported |
| Legal analysis of fiduciary duty | How duties are interpreted | Varies by jurisdiction and changes over time |
| Empirical studies of governance and outcomes | Links between governance and performance | Causality is difficult to establish |
How it is studied, and what the methods cannot say.
- 01Decision analysis under uncertaintyRisk appetite and journey planning · Robust strategic allocationApplied here
- 02Financial economics and macro-financeCapital market assumptions · Collateral and market feedbackApplied here
- 03Actuarial mathematicsLiability valuation on several bases · Mortality and longevity projectionApplied here
- 04Scenario design and stress testingSupervisory pension stress test · Reverse stress test of fundingApplied here
Questions and answers.
What does fiduciary duty require?
Does delegation transfer the duty?
Why are costs a governance indicator?
What does prudence mean for a fiduciary?
Can fiduciaries consider long-term systemic risks?
Why does delegation need oversight?
Does the platform give legal advice on fiduciary duty?
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