GIST Impact - Climate Risk Suite
Data category
- Environmental data
- Governance data
- Ratings
- Research data
- Social data
- Climate data
The data offers solutions for:
- Climate scenario analysis
- Geospatial/location data
- Investment decisions and portfolio insight
- Physical risk
- Reporting: CSRD
- Reporting: ISSB standards
- Reporting: Other Regulations
- Reporting: TNFD
- Supply chains
- Transition risk
- Value at risk
Who are the data users?
- Corporates
- Financial institutions
- Investors
- Consulting firms; ESG data management platforms
Brief description of the data offering
The GIST Impact Climate Risk Suite offers a comprehensive assessment of climate-related risks at asset, company and portfolio levels, as well as across the upstream and downstream value chains.
The suite comprises the following modules, which can be chosen separately and widely customised by the end user:
1. Hazard Coverage
A three-fold assessment of current and emerging risks from portfolio to asset levels, including:
Physical Risk - comprising 16 geospatial chronic and acute hazard layers such as Water Stress, Riverine and Coastal Flood, Cyclones and Wildfires based on CMIP6.
We provide Transition Risks via bespoke data delivery - comprising 12 risk layers such as Policy Stringency, Consumer Preference and Environmental Policy Vulnerability.
The following risk layers are being developed: Supply Chain Risks - comprising 5 risk layers such as Logistics Risk, Geopolitical Risk, Supplier Tech Risk, Inventory Shortage Risk, and Dependency Score.
Our data is sourced from institutional-grade databases, corporate disclosures, and enhanced with proprietary methodologies.
Results can be analysed at individual risk-layer level or aggregated into composite risk scores, incorporating contextual factors such as sectoral and geographic vulnerability to support risk management, investment analysis, and regulatory reporting.
2. Analytical Techniques
Scenario Analysis - Forward-looking climate risk assessments across three pre-defined scenarios based on authoritative scientific pathways, primarily those developed by the IPCC, with the flexibility to design custom scenarios through configurable assumptions, parameters, weightings, and time horizons.
Stress Testing - evaluate the resilience of assets, portfolios, and institutions under a range of climate risk conditions. Advanced analytical techniques, including machine learning-enhanced Monte Carlo simulations and sensitivity analyses, support the assessment of potential financial impacts under varying risk scenarios.
3. Risk Parameters
Key Risk Metrics - mapping of climate-related exposure to critical metrics such as PD, RWA, capital and liquidity ratios of choice.
Climate VaR and Credit Risk Migration - Capabilities to quantify the impact of climate-related risks on asset valuations, portfolio performance, and proprietary or external credit ratings are currently under development.
Financial Risk Translation- Climate risk assessments can be integrated into existing risk management frameworks through the mapping of climate-related exposures to key financial risk indicators, including Probability of Default (PD), Risk-Weighted Assets (RWA), capital adequacy measures, liquidity metrics, and other institution-specific risk parameters.
Climate-related risks are quantified through asset- and company-level risk metrics, including hazard-specific risk scores for individual physical, transition, and supply chain risk layers, and composite risk scores that aggregate risks across multiple hazards. Metrics such as the Hazard Risk Index (HRI) and Climate Risk Index (CRI) provide standardised measures of exposure and risk
4. Risk Integration
Transmission Channels - translation of physical, transition and supply chain risk drivers into measurable effects across key financial risk categories.
Regulatory Alignment - mapping to key standards and regulations such as the latest Basel III core principles, EBA Pillar 3 disclosure requirements, as well as others such as TCFD, PCAF and IFRS S1/S2.
Due Diligence - data-driven analytics that reveal risks and opportunities across the asset lifecycle and inform critical processes such as underwriting, capital allocation, and sustainability strategies.
5. Risk Strategy
Risk Appetite - translation of complex climate-related risks into data-driven exposure limits at team-specific and enterprise-wide levels.
Target-Setting - establishment of goals and pathways relating to e.g. PCAF-aligned financed emissions exposure and decarbonisation, wider sustainability performance and specific nature and biodiversity metrics.
Dynamic Accounting - integration of climate-related risks into core financial analysis such as balance sheet projections, income forecasts and cash flow models.
6. Data Extraction
Ingestion and processing of data from existing client systems using diverse methods (OCR + AI; API; Data Feeds).
Integration of GIST Impact data - from carbon emissions data to performance across hundreds of environmental, social and governance metrics, to science-backed nature and biodiversity insights.
7. Visualisation and Reporting
Customisable dashboards and geospatial map views purpose-built for specific teams, with real-time insights and housed on-premise where required.
Automated reporting for internal and external audiences, tailored to specific regulatory requirements where required.
Where and how do you source your data?
As a baseline, data is sourced from corporate disclosures. Where disclosures are missing, ML-powered estimation models provide accurate gap-fill across all relevant metrics.
At present, GIST Impact collects data on 20,000+ organisations worldwide. Data is available from 2016 until present.
Asset-level data is compiled from external and internal sources and validated for accuracy by GIST Impact (location; asset type).
Derived analytics (such as nature and biodiversity insights) leverage a compilation of internally curated methodologies and partner-led datasets. Sources for the latter include IBAT, Forest IQ and London's Natural History Museum. Ocean data is under development via our partnership with HubOcean.
For the analysis of proprietary investment and lending portfolios, as well as for the enhancement of existing risk strategies, GIST Impact is able to offer a data extraction module that offers integration and processing capabilities as well as real-time insights. Further information is outlined in the data offering description above.
What is the cost for your data offering?
Please enquire for pricing.