Monitoring ESG Trends & Performance with NLP News Analytics

Systematically evaluate and quantify the materiality of ESG in the news on companies in your investment universe.

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Challenge:

The corporate Environmental, Social, and Governance (ESG) team within a large banking client was tasked with creating a workflow to monitor ESG developments across the financial services industry and quantify their performance against their peers.

Solution:

Amenity's ESG model was configured to surface all ESG stories impacting banks worldwide, generating data-driven insight on emerging ESG topics and the client’s performance across each event type.

Amenity’s NLP can be applied to a global news feed in addition to earnings calls and 10K filings from financial services companies to enable data driven insight that answers questions such as: What news events are most impacting public sentiment around the banking industry? What business factors are driving sentiment in banks’ latest earnings call? What topics are my competitors focusing on in their communications?

Outcome:

• Unbiased and transparent data with contextual analysis and language pattern applications that captured and analyzed all critical events across a rich dataset of thousands of news sources
• Accuracy and scalability, with the ability to analyze and monitor developments related to ESG themes across watchlists, portfolios, and individual equities.