About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

ICE Expands ESG Reference Data Service to Include Companies In Key US Indices

Subscribe to our newsletter

Intercontinental Exchange (ICE) has expanded the content on its environmental, social and governance (ESG) reference data platform to include high quality, granular data that can be used to make actionable comparisons across companies and sectors. The expansion includes coverage of companies in key indices, including the ICE U.S. 1000 Index, which measures the performance of the top 1,000 US listed companies.

The ESG reference data platform began to take shape back in January 2020, when ICE announced that it was working with Bank of America (BofA) Global Research as a development partner for an ESG reference data service. The service now provides detailed attributes and information that can help investors and other participants better understand ESG risks and opportunities across a broad mix of global corporations.

“As ESG continues to gain momentum among investors and other market participants, it’s critical that they have access to accurate and timely data. ICE uses its expertise and technology to provide granular, actionable and unbiased signals and insights that can help customers make informed decisions about how they allocate capital and manage emerging risks,” says Lynn Martin, president of fixed income and data services at ICE.

BofA Global Research is using ICE company-specific data for ESG-related attributes to build out a proprietary ESGMeter, which provides a score of a company’s likelihood of experiencing stronger financial stability over the next three years, based on quantitative and fundamental inputs. For each company in BofA Global Research’s coverage universe, more than 140 ESG-related attributes are considered.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities of public and private clouds. They have also been motivated by the need to modernise their...

BLOG

Drive to Scale AI Makes Trust the Holy Grail of Data Managers: Webinar Preview

The race to implement artificial intelligence at scale within financial institutions’ technology stacks has made it imperative that they ensure their data foundations are solid. Without trusted data, AI is a potential minefield of erroneous outputs, hallucinated responses and inaccurate analyses. This compromises leaders’ ability to make well-informed decisions and poses the risk they’ll make...

EVENT

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...