Corporate ESG Ratings and Research Reviews and Ratings

What is Corporate ESG Ratings and Research?

Corporate environmental, social and governance (ESG) research and ratings firms measure companies’ performance across a wide array of topics, such as greenhouse gas (GHG) emissions, workforce diversity and executive compensation. Some of these vendors predominantly track companies’ ESG performance to inform and influence equity investors, creditors, bondholders and other participants in the capital markets. These vendors’ products often include a single corporate score to represent a company’s entire performance, simplifying interpretation for end users. This is intended to make it easy for investors to make a more informed decision on potential investments and for other stakeholders to understand how a company is performing relative to its ESG obligations, as well as its peers.

Products In Corporate ESG Ratings and Research Market

"A very robust platform complemented by an excellent customer service team."

FactSet is an easy to use platform from registration to actually using the platform. The dedicated customer service team they offer is immediately available and is able to answer all questions quickly. They even directly show you how to aggregate the data you need and will directly pull the data you want then email it to you. The platform is very holistic and broad, but after a few uses, it is very easy to understand especially with the strength of their customer service.

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"Critical to workflow and very powerful "

Its a key part of my workday for understanding market moves, genreating trade ideas and answering client questoins

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"Trustworthy Data for ESG Research: Refinitiv at Rescue"

Refinitiv is extensively used in M&A research for deals due diligence as ESG ratings affect the whole mergers and acquisition dynamics. It is a source of information that is trustworthy both among the users and the clients and hence, a lot of research is based on insights from this tool. Without, we would face lot of challenges scrambling for correct and quality data

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