Climate Credit Analytics for smarter credit decisions
Assess climate exposure across portfolios and counterparties
Assess climate exposure across portfolios and counterparties
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Explore how climate credit analytics connects climate scenarios, financial drivers, and credit risk insights across counterparties and portfolios.
Climate change is reshaping credit risk, portfolio performance, and regulatory expectations. Financial institutions need a consistent way to understand how transition and physical climate risks could affect counterparties, sectors, and portfolios over time.
Developed by S&P Global Market Intelligence and Oliver Wyman, Climate Credit Analytics combines climate scenario and stress-testing expertise with market-leading data and credit analytics. It translates climate scenarios into industry-specific financial drivers, including production volumes, fuel costs, and capital expenditure, and projects company financial statements across NGFS, regulatory, and short-term carbon-tax scenarios.
Coverage spans more than 140 Global Industry Classification Standard (GICS) industries, with detailed approaches for high-emitting sectors, emissions-based modeling for other non-financial sectors, and top-down extrapolation where needed. This gives credit risk, investment, sustainability, and corporate counterparty teams a consistent view of exposure, resilience, and potential portfolio impact across thousands of companies.
Climate Credit Analytics translates climate scenarios into industry-specific financial drivers, including production volumes, fuel costs, and capital expenditure. It projects company financial statements across climate scenarios developed by the Network for Greening the Financial System regulatory, and short-term carbon-tax scenarios, supporting consistent portfolio analysis of transition and physical climate risks.
Climate Credit Analytics brings depth, scale, and scenario flexibility to climate credit risk analysis, helping users assess exposure across industries, companies, and time horizons.
Assess transition and physical risks through scenario analysis, stress testing, financial projections, and credit risk measures.
First, we identify and assess key drivers to translate the impact of a scenario on a company's financial statements
Next, we develop scenario-adjusted financial statements based on the key drivers
Finally, we create a linkage between scoring model metrics and the scenario-adjusted financial statements and re-run the model
For companies that fall out of scope or cannot be run-bottom up, we extrapolate results based on company characteristics and bottom-up population
1. S&P Global Ratings does not contribute to or participate in the creation of credit scores generated by S&P Global Market Intelligence. Lowercase nomenclature is used to differentiate S&P Global Market Intelligence credit model scores from the credit ratings issued by S&P Global Ratings.
Use climate scenario analysis to assess portfolio exposures and support risk, investment, sustainability, and counterparty decisions.
Learn how Climate Credit Analytics can help your team assess climate-related financial and credit risks across your portfolios.