A08 · TOPIC · asset-liability-managementGRA dossier · service level R0
GRAInstitutional Funds NexusEstablished
Topic dossier · Institutional Funds Nexus

Asset-liability management

An institutional fund holds assets to pay liabilities, and the two respond to different forces. Interest rates and inflation change the present value of promised benefits; markets change the value of assets. Asset liability management is the discipline of deciding how much of that mismatch to keep. This page sets out how mismatch arises, how hedging programmes and their collateral needs create new exposures, and what the evidence serves for the trustees and supervisors who set and review the strategy.

01In brief

The short answer.

Asset-liability management is the joint management of a fund's assets and liabilities, which respond to different forces: interest rates and inflation change the present value of benefits, markets change asset values. Hedging reduces surplus risk and creates demand for collateral, as the stress in liability-driven investment showed.

02Geography

Activity and exposure in Oceania and the Pacific.

For asset liability management, in GRA's spatial-finance reading, the map opens on night lights and population density with built-up and settlement extent from NASA GIBS, framed on Oceania and the Pacific; every other NASA layer, live feed and forecast waits in the layer list.

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

Layers 2

Activity and exposure, 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 asset liability management, in GRA's spatial-finance reading, the map opens on night lights and population density with built-up and settlement extent from NASA GIBS, framed on Oceania and the Pacific; 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 · 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
  • 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.
  • 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
  • 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

03The question

Asset-liability management: how the risk develops.

Investment and liability dependencies. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

The discount rate moves the liability

Liabilities are valued by discounting future benefit payments. When long-term rates fall, liabilities rise, often by more than the assets held against them, so an unhedged fund can lose funding even in a rising market.

Mechanism

Inflation links reach both sides

Indexed benefits rise with prices or wages, while nominal bonds and many real assets respond differently. The degree of indexation, its caps and floors, and the instruments available determine how much inflation risk can be hedged.

Mechanism

Hedging creates collateral demand

Interest rate and inflation swaps, repo and leveraged gilt or bond funds hedge liabilities with little capital, but a sharp rise in yields triggers collateral calls that must be met in days. A hedge that cannot be supported is closed at the worst moment.

Mechanism

Return-seeking assets carry surplus risk

Equities, credit and private assets are held for return above the liability. Their volatility relative to the liability, not their stand-alone volatility, is the surplus risk the board accepts, and it depends on the sponsor's capacity to absorb shortfalls.

04Key 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
Hedge ratioThe share of liabilities' interest rate or inflation sensitivity matched by assets.
Duration gapThe difference between the interest rate sensitivity of assets and of liabilities.
Collateral headroomLiquid assets available to meet margin calls on derivatives before forced sales.
05Indicators

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.

IndicatorUnitCadenceSource typeLabel
Interest rate hedge ratiopercent of liability rate sensitivitymonthlyFund and hedging manager reportsREPORTED
Inflation hedge ratiopercent of liability inflation sensitivitymonthlyFund and hedging manager reportsREPORTED
Duration gap between assets and liabilitiesyearsquarterlyAsset liability modelMODELLED
Surplus value at riskpercent of liabilities at a stated confidence and horizonquarterlyAsset liability modelMODELLED
Collateral headroombasis points of yield rise absorbed before recapitalisationweeklyHedging manager and pooled fund reportsREPORTED
Projected benefit cash flowscurrency per year by future yearat each valuationActuarial cash flow projectionMODELLED
Liability discount ratepercent per yearat each valuationActuarial valuation or accounting disclosureDECLARED
06Canvas

From sources to decisions.

The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.

Pipeline canvas · Asset-liability management as a run graphDesign, not a record
Asset-liability management: asset-liability managementLiabilities are projected; a strategic asset allocation and risk budget are set; hedges and liquidity buckets cover collateral calls; stress tests check funding; rebalancing and stewardship follow. Design of the process, not a record of a run.

Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.

07Sources

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.

SourceWhat it givesLicence class
EIOPA IORP stress test reportsSensitivity of occupational pension balance sheets to rate, market and inflation shocksFree reuse, attribution
Bank of England Financial Stability Reports and Financial Policy Committee recordsAnalysis of liability-driven investment, collateral calls and the resilience standards that followedFree to read, Bank of England terms
The Pensions Regulator guidance on liability-driven investmentExpectations for leverage, collateral buffers and governance of hedging arrangementsOpen Government Licence
Federal Reserve Financial Accounts of the United StatesSector balance sheets of private and public pension funds, including claims on sponsorsPublic domain
ECB pension fund statisticsEuro area pension fund assets and liabilities by instrumentFree reuse, attribution
De Nederlandsche Bank pension fund statisticsBalance sheets, hedge ratios and funding of Dutch pension fundsFree reuse, attribution
Pension fund annual reportsDisclosed liability valuations, discount rates, hedge policies and asset allocationPublic records, terms per fund
08Decisions

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 decidesThe questionEvidence this page serves
Trustees and investment committeesWhat hedge ratios, leverage and collateral buffers the fund should holdLiability sensitivities, collateral headroom under stated yield shocks and the cost of each hedge level
Sponsoring employersHow much surplus risk the sponsor is prepared to underwriteSurplus distributions under scenarios against the sponsor's capacity to pay
Boards of pooled hedging funds and their managersWhat buffer to hold and how to recapitalise investors in a fast marketBuffer adequacy against historical and hypothetical yield moves; investor response times
Pension regulators and central banksWhat minimum resilience to require of leveraged hedging arrangementsSystem-wide collateral demand under stress and the market depth available to meet it

Outputs this topic produces

  • Explanations of how liability valuation bases translate into rate and inflation sensitivity
  • Collateral stress scenarios for leveraged hedging under rapid yield moves
  • Comparisons of supervisory resilience standards for hedging funds
  • Guides to surplus risk and how it differs from asset-only risk
09Core questions

What experts ask.

The questions concern the gap between assets and liabilities.

  • How do liability values respond to changes in interest rates, inflation and longevity assumptions?
  • How closely do asset values move with liabilities, and where do they diverge?
  • What are the trade-offs between hedging liability risks and seeking returns?
  • How much liquidity is needed to support hedges and benefit payments under stress?
  • How do contribution and benefit policies interact with investment strategy?
10Mechanisms

Mechanisms and drivers.

Liabilities behave like long-dated bonds: their value rises when interest rates fall. A fund holding growth assets that do not move with rates faces mismatch risk. Hedging with bonds or derivatives reduces that mismatch but can introduce leverage and collateral requirements, and limits the return potential of the portfolio.

Inflation-linked benefits add sensitivity to inflation. Longevity changes alter the duration and size of liabilities and are hard to hedge with market instruments. The result is a set of interacting dependencies, where decisions about hedging, liquidity, return-seeking and contributions cannot be made in isolation.

11Methods and data

How it is studied, and where the methods stop.

Method or dataWhat it showsLimits
Duration and sensitivity analysisHow liabilities and assets respond to rate and inflation changesLinear measures miss large-move behaviour
Stochastic asset-liability modellingDistributions of funding outcomesDepends on assumed return and correlation models
Liquidity stress testingCash needs under market stressExtreme moves may exceed tested ranges
Scenario analysisOutcomes under specified economic pathsScenarios are not forecasts
12Methods

How it is studied, and what the methods cannot say.

  1. Actuarial mathematicsLiability valuation on several bases · Mortality and longevity projectionApplied here
  2. Financial economics and macro-financeCapital market assumptions · Collateral and market feedbackApplied here
  3. Scenario design and stress testingSupervisory pension stress test · Reverse stress test of fundingApplied here
  4. Decision analysis under uncertaintyRisk appetite and journey planning · Robust strategic allocationApplied here
13Questions

Questions and answers.

What is liability-driven investment?
A strategy that holds assets whose value moves with the liabilities, usually through bonds and swaps, so that funding is protected from changes in rates and inflation. It often uses leverage to free capital for return-seeking assets.
Why can hedging create liquidity risk?
Derivatives and repo used for hedging require collateral when markets move against the position. If yields rise sharply, funds must post cash or sell assets quickly, and many funds may need to do so at once.
Is a fully hedged fund risk free?
No. It still carries longevity, sponsor, basis and liquidity risk, and the hedge itself depends on counterparties and collateral arrangements.
Why can hedging create risks of its own?
Because derivative hedges require collateral when markets move. Large, rapid moves can create urgent cash needs and force asset sales.
Does the platform design strategies for funds?
No. GRA does not advise. The platform publishes sector-level research on how these dependencies behave.
Institutional Funds Nexus

Bring your expertise to this field.

The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.

Have questions?