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Real-Time ESG

Data Feed by Alexandria Technology

Added as Candidate: Oct. 23, 2019

Candidate Product
Candidate Definition
This product is in the review and/or onboarding process towards full availability. It is not currently available via FactSet.
Register Interest
Highlights
  • Enhance your investment analysis with global coverage of ESG-related news that can be turned into a top-down factor.
  • Consistently capture news events and topics to better forecast risk, direction and volatility.
  • Leap beyond lexicon and price-derived NLP. Alexandria’s programs can match a professional investment analyst with >91% accuracy, processing each article in 1/10th the blink of an eye, across the thousands of news stories published every day from around the world.
Feed Details
Alexandria’s global ESG Sentiment and Topics dataset is the application of proprietary algorithms on ESG-related news. Each company news article is summarized into a record of structured data showing the company, the topic, and the overall sentiment for that article . Each record of data represents an ESG topic being present in a news story.
Firm Information
Alexandria Technology creates proprietary machine learning algorithms that classify text for entities, events/topics, sentiment, and more. Launched in 2012, Alexandria’s classification systems have been trained by research analysts and portfolio managers, creating an AI analyst that reads text like a human but performs with the speed and consistency of a machine.