Global exchange and clearing house operator Intercontinental Exchange announced today that its market data solution ICE Data Services will integrate ESG risk data from RepRisk into its ESG Reference Data service.
RepRisk is a data science company, that uses a combination of machine learning and human intelligence to offer quantitative risk analytics and proprietary metrics for more than 150,000 public and private companies, covering every global sector and market. The RepRisk ESG data covers a broad range of issues, including human rights, labor practices, corruption and the environment.
Lynn Martin, President of Fixed Income and Data Services at ICE, said:
“As ESG continues to gain prominence, investors are increasingly looking for granular, timely and accurate data to help uncover ESG related risks and opportunities in financial markets. The breadth and depth of RepRisk’s ESG risk data will be a strong complement to our ESG data service. Our service can provide clients with transparent metrics to help drive sustainable decision making and analysis.”
Over the past several months, ICE Data Services has launched multiple ESG data offerings designed to offer transparency into the area of market risk, including ICE Climate Risk, ESG Reference Data, and a suite of ESG indices.
ICE Data Services’ ESG Reference Data offers detailed attributes and indicators, such as greenhouse gas emissions, board diversity metrics and nearly 400 other key metrics sourced from company and publicly available third-party sources. Incorporating RepRisk data into ESG Reference Data is intended to further enable the systematic identification and assessment of risks that can have financial, compliance and reputational implications for U.S. and global companies.
Philipp Aeby, CEO of RepRisk, said:
“As demand for investment strategies that incorporate ESG factors increases, data with a track record and consistent methodology that is time-tested is necessary to help investors better understand ESG risks. RepRisk’s daily-updated dataset – powered by the combination of machine learning and human intelligence – allows stakeholders to safeguard their assets by detecting and mitigating risk while aligning their portfolio with internal goals and international standards. The size and depth of our dataset – currently more than 150,000 companies worldwide – coupled with data and information from ICE Data Services provides investors with robust tools and critical data to see around corners and illuminate blind spots when assessing ESG risk.”
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