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Arabesque S-Ray

Data Feed by Arabesque

Added: Recently Updated

Highlights
  • Gain a deeper understanding of the potential reputational risk facing a company. The GC Score provides a normative assessment of each company based on the principles of the United Nations Global Compact (Human Rights, Labor Rights, Environment and Anti-Corruption).
  • Identify companies that are better positioned to outperform over the long run. The ESG Score is based on a sector specific analysis of each company’s performance on financially material environmental, social, and governance (ESG) issues.
  • Align investments with personal choice through the Preferences Filter, which provides a better understanding of each company’s business activities through analysis of revenue streams.
Feed Coverage
Region CountTypeStart Date
Africa 180Entities2012
Asia 1,760Entities2005
Europe 1,920Entities2003
Latin America 190Entities2011
Middle East 100Entities2011
North America 3,330Entities2003
Pacific 530Entities2010
Feed Details
The Arabesque S-Ray® Score Layer data feed provides three lenses for analysis on the sustainability of approximately 7,000 of the world’s largest corporations by way of the GC Score, ESG Score and Preferences Filter. The newly added Feature layer data feed serves as the building blocks for the GC and ESG scores and provides even more insight into a company’s sustainability performance on 22 well-defined sustainability topics. Through big data and machine learning, the tool systematically combines over 250 environmental, social and governance (ESG) metrics with news signals from over 50,000 sources across 20 languages, enabling you to make better informed financial decisions. Data Frequency: Daily; Update Frequency: Daily.
Firm Information
Founded in 2013 following a management buyout from Barclays Bank, Arabesque has been built in cooperation with leading academics from universities including Harvard, Stanford, Oxford and Cambridge. Their proprietary technology, Arabesque S-Ray®, allows investors to measure the sustainability of thousands of companies worldwide. The tool applies a quantitative and algorithmic approach to ESG data, empowering all stakeholders to make better decisions for a more sustainable future.