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Assess the impact of climate change on your portfolios with Climate Credit Analytics.

Assess the Impact of Climate Change Scenarios on Credit Risk

Through a highly dynamic, sector-specific approach, Climate Credit Analytics enables counterparty- and portfolio-level analysis of climate-related financial and credit risks for thousands of companies. This includes a wide range of companies spanning various sectors, facilitating an in-depth assessment of the impact posed by climate-induced transition and physical risks on portfolios.

Key Users

Credit Risk Managers

Consider transition and physical climate risks in your analysis of credit risk and evaluate alternative scenarios and their potential impacts on your business.

Investment Teams and Portfolio Managers

Gain insight into potential changes in the value of portfolio companies during the investment horizon due to possible impacts of physical and transition climate risks.

Sustainability Officers

Support your firm’s net zero goals and sustainability reporting with important climate scenarios that help you anticipate the future.

Sustainability Financing

Identify gaps in a company’s capability to transition and facilitate opportunities for transition financing.

Corporate Counterparty Risk

Assess the impact of climate change and related transition and physical risks on the creditworthiness of suppliers, customers, and business partners.

Comprehensive Climate Coverage

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Granular, Robust, Reliable. Data You Can Trust.

Climate Credit Analytics translates climate scenarios into drivers of financial performance tailored to each industry, such as production volumes, fuel costs, and capex spending. These climate analytics drivers are then used to forecast complete company financial statements under various climate scenarios, including those published by the Network for Greening the Financial System (NGFS), key regulatory scenarios, and short-term carbon-tax adjusted scenarios.

This enables users to have comprehensive and consistent modelling covering 140+ industries under the GICS (Global Industry Classification Standard) code via a product-specific approach for high-carbon emitting sectors, such as the oil and gas, power generation, metals and mining, and airline sectors, plus an emissions-based approach for construction, steel, agriculture, and other remaining non-financial sectors. Additionally, a top-down approach is available for name-based extrapolation for full portfolio coverage, where needed.

The robust suite of tools leverages S&P Global Market Intelligence’s proprietary datasets and capabilities, including financial and industry-specific data from across S&P Global, sophisticated quantitative credit scoring methodologies, and emissions and physical asset risk data from S&P Global Sustainable1, all of which enrichen the climate risk analysis and provide granularity to the approach. The offering enables automated bottom-up analysis for 2.2 million companies.

Linking Climate Risk to Financial Risks and Opportunities

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Industries We Serve

Commercial Banks

Climate risk scenarios, available via the Climate Credit Analytics solution, can help you evaluate exposures in your current portfolios and make more informed decisions moving forward.

Insurance

Climate scenarios, available via the Climate Credit Analytics solution, can help you evaluate different climate pathways and their impacts on both the asset and liability side of the business to help prepare for the unknown.

Asset Managers

The Climate Credit Analytics solution can help you evaluate different climate-related scenarios, the potential impact on your portfolios, and how to fine-tune investment selection in the future.

Webinar

Addressing Climate Risks Through Stress Testing and Scenario Analysis

In this webinar, we delved into the challenges faced by financial institutions and strategies to quantify risks through climate scenario analysis and stress testing. 

Case Studies

Awards

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Discover the power of Climate Credit Analytics from S&P Global Market Intelligence. Request a demo today and unlock the potential of data-driven decision-making in a rapidly changing climate landscape.

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