A-P04 · TOPIC · disclosure-and-dataGRA dossier · service level R0
GRAClimate and Nature Financial RiskIn development
Topic dossier · Climate and Nature Financial Risk

Disclosure and data

Climate and nature disclosure gives investors, lenders and supervisors information on exposure and management. ISSB IFRS S2 sets a global baseline adopted in many jurisdictions; the Basel Committee has a voluntary bank framework; the TNFD addresses nature. Underneath sit data on emissions, exposures and locations that are often estimated. This page sets out how disclosure and data work, where they fall short, and who decides.

01In brief

The short answer.

Climate disclosure and data are the reporting standards and underlying information that show financial institutions' climate and nature exposure. IFRS S2 is the global baseline; the Basel framework is voluntary for banks; counterparty and location data are often estimated. Regulators, supervisors and audit committees hold the decisions.

02Spatial finance

Assets on the grid, and the portfolio they make.

Where a portfolio's assets sit, and how much of its value is most exposed. Hypothetical assets, not an assessment.

Sixteen assets at real towns, and the share of portfolio value in the most exposed places.Hypothetical assets and design scores, not advice.
03The question

Disclosure and data: how the risk develops.

Source quality and comparability. 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

Standards set the baseline

IFRS S2 requires governance, strategy, risk management, metrics and targets disclosures, with industry-specific metrics and financed emissions for financial institutions. Jurisdictions adopt with reliefs and timelines.

Mechanism

Counterparty data are estimated

Financial institutions depend on borrowers' and investees' data, which many do not report. Estimates fill gaps, with quality scores that must be disclosed.

Mechanism

Location data are missing

Physical and nature risk need asset locations, which are often absent from loan and investment records. Without them, exposure is guessed.

Mechanism

Assurance lags

Sustainability data receive less assurance than financial statements. Errors in estimates and methods can persist into decisions.

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
Data quality scoreA PCAF score from one to five describing the reliability of data used for financed emissions.
GeolocationRecording the geographic coordinates of an asset or collateral so it can be linked to hazards.
Pillar 3The Basel framework's disclosure requirements, designed to support market discipline.
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
Jurisdictions adopting ISSB standardscount by approachon changeIFRS Foundation jurisdictional profilesOFFICIAL
Financial institutions disclosing financed emissionscountannualPCAF and disclosure recordsDECLARED
PCAF data quality scorescore, one to fiveannualInstitution disclosuresDECLARED
Share of counterparties with reported emissionspercentannualInstitution dataREPORTED
Exposures with geolocated collateralshare of portfolioperiodicBank dataREPORTED
Sustainability disclosures with external assuranceshare of reportsannualCompany filingsDECLARED
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 · Disclosure and data as a run graphDesign, not a record
Disclosure and data: climate scenario analysis pipelineOrderly, disorderly and hot house scenarios supply pathways for carbon prices and macro variables; transition and physical channels change sector and asset outcomes; credit parameters and portfolio losses follow, and results are disclosed with their limits. 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
IFRS Foundation jurisdictional profilesAdoption of ISSB standards by jurisdictionFree to read, IFRS Foundation terms
BCBS disclosure of climate-related financial risks frameworkVoluntary bank disclosure templatesFree, BIS terms
PCAF standard and signatory listFinanced emissions methods and adoptersFree to read, PCAF terms
NZDPU (Net-Zero Data Public Utility)Company emissions and targets dataFree, terms to check
CDP disclosure dataSelf-reported climate, water and forest dataProprietary; summary results free to read
08Decisions

Who decides, and what the evidence serves.

Climate and Nature Financial Risk 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
Securities regulators and finance ministriesWhether and how to adopt ISSB standardsJurisdictional comparisons
Prudential supervisorsWhether to require the Basel climate disclosure frameworkFramework content and peer adoption
Bank and insurer audit committeesHow climate data are governed and assuredData quality and assurance practice
Data providers and usersWhich data to collect and estimateCoverage and quality evidence

Outputs this topic produces

  • Guide to climate and nature disclosure standards for financial institutions
  • Method note on financed emissions data quality
  • Brief on geolocation of exposures
  • Questions for boards on disclosure assurance
09Core questions

What data specialists ask.

  • Where does each data point come from: reported, estimated or modelled?
  • How comparable are disclosures across firms, sectors and jurisdictions?
  • How reliable are third-party estimates where companies do not report?
  • Which data gaps matter most for risk analysis?
10Mechanisms

Why data quality is the binding constraint.

Disclosure frameworks, such as the standards of the International Sustainability Standards Board, the recommendations of the Task Force on Climate-related Financial Disclosures and the framework of the Taskforce on Nature-related Financial Disclosures, have improved consistency. But coverage is uneven, especially for smaller and private companies, and value-chain emissions are often estimated.

Where data are missing, providers estimate them using models, and different providers' estimates can differ substantially. Without clear labelling, estimated data can be mistaken for reported data, giving false precision.

11Methods and data

Assessing data quality.

  1. 01

    Data provenance labelling

    Distinguishing reported, estimated and modelled values. Labelling is inconsistent across providers.

  2. 02

    Comparability review

    Assessing consistency of definitions, scope and boundaries.

  3. 03

    Estimation methods review

    Understanding how missing data are estimated, using financial economics and macro-finance. Methods are often proprietary.

  4. 04

    Location data quality

    Assessing asset location data, with spatial statistics and geostatistics. See Model and measurement gaps.

12Methods

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

  1. Financial economics and macro-financeCredit risk transmission · Market pricing studies · Cross-sector transmissionApplied here
  2. Spatial statistics and geostatisticsGeolocating exposures · Aggregating location risk · Resolution sensitivityApplied here
  3. Climate and atmospheric scienceHazard projections for portfolios · Tail and compound hazards · Scenario physical variablesApplied here
13Questions

Questions and answers.

What does IFRS S2 require of banks?
Disclosure of climate-related risks and opportunities, including scenario analysis and, for financial institutions, information on financed emissions and exposure to carbon-related assets.
Is the Basel climate disclosure framework mandatory?
It is voluntary at the international level; jurisdictions decide whether to require it for their banks.
What is a PCAF data quality score?
A score from one, the most reliable, to five, the least, describing the quality of data used to estimate financed emissions for each asset class.
Why do estimates from different providers differ?
Because they use different methods, assumptions and source data, especially where companies do not report.
What are value-chain emissions?
Emissions that occur in a company's supply chain and in the use of its products, often the largest share and the hardest to measure.
Does the platform provide or validate data?
No. It publishes guidance on data quality and comparability and does not assess any provider or dataset.
Is more disclosure always better?
Not necessarily. Disclosure helps when it is reliable, comparable and used. Volume without quality can mislead.
Climate and Nature Financial Risk

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.

Skip to toolbar