Enhance your investment analysis with global coverage of ESG-related news mapped to United Nation’s 17 Sustainability Development Goals (SDG) that can be turned into top-down factors.
Leverage over 60 hierarchical event topics on ESG that are consistently captured to better forecast risk, direction and volatility. Sentiment is precisely assessed for each topic found, which includes topics pertaining to: infrastructure, sustainability, accounting, climate, health, poverty, and more.
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.
Data 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.
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.