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Learn how AI enables us to quickly analyze large, diverse datasets and provide a comprehensive view of a company's ESG analytics. Embracing AI for ESG assessments is not only a value added for investors, but also a crucial step for the ESG industry to foster a sustainable financial future.

The ESG Risk Ratings measure the degree to which a company’s economic value is at risk driven by ESG factors or, more technically speaking, the magnitude of a company’s unmanaged ESG risks. A company’s ESG Risk Rating is comprised of a quantitative score and a risk category.

There is broad recognition that achieving international climate goals will require a significant reduction in greenhouse gas emissions from carbon-intensive sectors. The issuance of a Transition Bond may attract a more diverse pool of investors and help companies fund projects aimed at decarbonizing operations and supporting the progression to a low-carbon economy.

With our third ESG Risk Ratings white paper, we explore how investors could potentially apply the ESG Risk Ratings to their investment processes. Below are some key takeaways from the white paper. To learn more, register for our regional webinar using the buttons at the bottom of the page.

Sustainalytics believes that natural gas has an important role to play in the energy transition, and therefore is an appropriate target for transition finance.

To provide our clients with a better understanding of the ESG Risk Ratings, we published a series of white papers, the first of which presents a brief history of responsible investment and covers the motivations for developing a next generation ESG rating.

In the second installment of our ESG Risk Ratings white paper series, we assess the unmanaged ESG risk of 42 Internet Software and Services (ISS) companies. In addition, the report offers a comprehensive ESG risk analysis of the subindustry and concludes with a case study of Facebook.