GRA · Asset Management Nexus
Spatial financeWhere capital meets hazard, exposure and transition
Transition risk
Transition risk is the financial risk that arises as economies move toward lower emissions and different resource use, through policy, technology, market preferences and litigation. For a portfolio it shows up as changes in costs, revenues, asset lives and cost of capital across sectors moving at different speeds. This page sets out how business-model transitions reprice holdings, how transition risk is measured, and why sector averages hide most of the variation that matters.
Transition risk on the record.
Transition risk: how the risk develops.
Business models and technology transitions. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Policy and carbon prices
Carbon pricing, standards, subsidies and phase-out dates change relative costs. Timing and credibility matter as much as level: an abrupt or late policy shift reprices assets faster than an orderly one.
Technology cost curves
Falling costs of substitutes such as renewables, batteries and heat pumps erode incumbents' margins whatever policy does. Business models built on long-lived assets adjust slowly and can be overtaken.
Divergence within sectors
Companies in the same sector differ in asset mix, capital plans, cost position and governance. Transition risk sits in the spread between leaders and laggards, which sector averages hide.
Spillovers through value chains
Suppliers, lenders, insurers, regions and sovereigns tied to a transitioning sector share its risk. Exposure runs through value chains and public finances, not only through direct holdings.
A loan book under scenario families.
How physical and transition risk could reach a loan book under different scenarios. Illustrative design values.
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 |
|---|---|---|---|---|
| Weighted average carbon intensity | tonnes CO2e per unit of revenue | annual | Issuer disclosure and vendor estimates | ESTIMATED |
| Financed emissions | tonnes CO2e attributed to the portfolio | annual | PCAF methods applied to holdings | ESTIMATED |
| Taxonomy-aligned capital expenditure | percent of capital expenditure | annual | Issuer taxonomy disclosure | REPORTED |
| Exposure to fossil fuel reserves and production | share of portfolio value by fuel type | annual | Holdings mapped to asset-level energy data | ESTIMATED |
| Implied temperature rise | degrees Celsius | annual | Vendor temperature alignment models | MODELLED |
| Management quality and transition plan assessment | assessment level by framework | annual | TPI Centre and benchmark assessments | ESTIMATED |
| Revenue from low-carbon products and services | percent of revenue | annual | Issuer reports and vendor classification | ESTIMATED |
Portfolio risk and stewardship.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Portfolio risk and stewardship
Transition risk · Global equity fund · As of week 27
- Active risk3.5pct a year
- Top 10 weight29pct of NAVWatch
- Implied temperature2.6°CWatch
- Engagements open14Active
Sector weights vs benchmark
Stewardship priorities
| Company 1 | Transition plan | Vote against chair | Escalated |
| Company 2 | Water risk | Letter | Open |
| Company 3 | Board independence | Meeting | Progress |
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 |
|---|---|---|
| Transition Pathway Initiative Centre assessments | Management quality and carbon performance of listed companies against sector pathways | Free to use, TPI terms |
| Climate Action 100+ Net Zero Company Benchmark | Disclosure and alignment assessments of focus companies | Free to read, initiative terms |
| NGFS climate scenarios | Carbon prices, energy mix and sector output by scenario | Free, attribution under the scenario explorer terms |
| IEA World Energy Outlook | Energy demand, supply and technology pathways by scenario | Licensed; summaries free to read |
| EU taxonomy disclosures of issuers | Taxonomy-aligned turnover, capital and operating expenditure of companies in scope | Public records |
| Global Energy Monitor trackers | Asset-level data on coal, oil, gas and power plants and their owners | Free and open, CC BY |
| Urgewald Global Coal Exit List | Companies with coal activities and expansion plans | Free for non-commercial use, terms |
Transition and physical risk on a portfolio.
Three scenario families after the NGFS framework move a sector portfolio through carbon costs and warming damages; the transmission view follows the losses to lenders, investors, public finances and households. Scenario: named assumptions about the future, not a forecast. The map on this page shows North America; the model itself is not tied to a place.
Controls
- Carbon price at the horizon, orderly path
- 200 per tCO2
- Delay before a disorderly transition
- 50% of horizon
- Cost passed to customers
- 50%
- Warming today above pre-industrial
- 1.30°C
- Warming per decade, current policies
- 0.25°C
- Damage coefficient
- 0.24% per °C²
- Years ahead
- 25 years
Readouts
- Worst scenario at the horizon
- −33.6% of value
Numbers, methods and sources
| Year | Orderly transition (% value) | Delayed, disorderly transition (% value) | Current policies (% value) |
|---|---|---|---|
| 0 | −0.38 | −0.38 | −0.38 |
| 3 | −2.87 | −0.53 | −0.67 |
| 6 | −5.36 | −0.68 | −0.97 |
| 9 | −7.84 | −0.84 | −1.27 |
| 12 | −10.33 | −0.99 | −1.57 |
| 15 | −12.82 | −7.12 | −1.87 |
| 18 | −15.31 | −15.05 | −2.17 |
| 21 | −17.80 | −23.00 | −2.48 |
| 24 | −20.29 | −30.94 | −2.79 |
Methods
- Climate scenario families NGFS (2023), Climate Scenarios for central banks and supervisors, Phase IV
- Climate stress test of the financial system Battiston and others (2017), Nature Climate Change 7
- Damage function Nordhaus (2017), Revisiting the social cost of carbon, PNAS 114
- Transmission channels BCBS (2021), Climate-related risk drivers and their transmission channels
- 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:
- Urban extents Natural Earth
- Seaports Natural Earth
- Past year, daily temperature (ERA5 via Open-Meteo) Open-Meteo.com (CC BY 4.0), Copernicus ERA5 (C3S/ECMWF) · register open-meteo.public-pages
- Surface air temperature, daytime (AIRS) NASA AIRS · register nasa.gibs.context-live-layers
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Asset Management Nexus in Foundry
- Tested at Asset Management Nexus in Universe
- Codified in Finance, Insurance and the Economy in Standards
- Published in Asset Management Nexus in Reports
- Taught in Faculty of Finance and Economics in Academy
Who decides, and what the evidence serves.
Asset Management 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 |
|---|---|---|
| Asset owner boards and investment committees | How transition risk is reflected in allocation, mandates and benchmarks | Exposure profiles and scenario repricing with assumptions stated |
| Portfolio managers and their risk functions | How within-sector differences in transition readiness enter security selection | Company-level assessments with their method and data labels |
| Prudential and securities supervisors | Whether firms' climate scenario analysis and disclosures meet supervisory expectations | Scenario design reviews and the comparability of transition metrics |
| Index providers | How to construct EU Paris-aligned and climate transition benchmarks and apply their exclusions | Constituent-level data quality; turnover and tracking consequences of design choices |
Outputs this topic produces
- Sector and within-sector transition exposure profiles, with data labels
- Scenario repricing of holdings under orderly, delayed and fragmented transitions
- Comparisons of temperature alignment methods and their sensitivity to assumptions
- Research on how transition shocks propagate through value chains and sovereign balance sheets
Trace a shock in transition risk 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 about transitions.
- Which sectors and business models are most exposed to policy and technology shifts?
- How quickly might transitions occur, and how orderly will they be?
- How can transition plans be assessed for credibility?
- When might assets become stranded before the end of their expected lives?
- How do transitions create opportunities as well as risks?
What transition risk 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.
Scenario pathways
How transition risk could be stressed under the scenario families central banks and supervisors use.
| Scenario family | Transition risk | Physical risk | What a stress test asks |
|---|---|---|---|
| Orderly | Early, gradual policy | Lower | Can the book absorb a steady repricing? |
| Disorderly | Late, abrupt policy | Lower to medium | What breaks under a sudden repricing and credit migration? |
| Hot house world | Limited policy | High and rising | Where do physical losses concentrate in collateral and insurance? |
How transitions affect asset values.
Transitions change costs and revenues. Carbon pricing raises costs for emissions-intensive activities; cheaper alternatives reduce demand for incumbent products; and regulation can limit certain activities. Assets with long lives, such as power plants, can lose value if they are no longer economic to run.
The pace and order of transition matter. Orderly transitions, with predictable policy, allow gradual adjustment. Disorderly transitions, with late and sudden changes, can cause abrupt repricing. Technology can also move faster than expected, as cost declines in some clean technologies have shown.
Transitions affect value chains. A company may not emit much itself but depend on suppliers or customers in exposed sectors.
Methods and their limits.
- 01
Transition scenarios
Pathways for policy, technology and demand, using scenario design and stress testing. Scenario choice shapes results.
- 02
Sector and company analysis
Assessing exposure of business models. Company data and plans may be incomplete.
- 03
Transition plan assessment
Evaluating credibility of targets and plans. Frameworks are evolving.
- 04
Market pricing studies
Testing whether transition risk is priced, using econometrics.
Transition outcomes depend on policy and technology choices that are uncertain; analyses present ranges.
How it is studied, and what the methods cannot say.
- 01Scenario design and stress testingClimate scenario analysis of portfolios · System-wide redemption and margin scenariosApplied here
- 02Financial economics and macro-financeCommon ownership and fire-sale channels · Pricing of transition riskApplied here
- 03EconometricsFlow and price pressure estimation · Event studies of stewardship and disclosureApplied here
- 04Financial and risk engineeringLook-through risk decomposition · Liquidity bucketing and redemption testsApplied here
Questions and answers.
What does implied temperature rise mean?
Is a low-carbon portfolio low in transition risk?
What is a disorderly transition?
Does the platform recommend divestment or investment?
Is transition risk only about climate?
How credible are transition plans?
What is a stranded asset?
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