Modern materiality allows investors to quickly and precisely analyze the multitude of document disclosures that strike at the heart of what companies are specifically doing about ESG commitments, investments, milestones, and exposures. This video discusses how to identify new, existing, and emerging issues using Amenity’s industry-leading ESG platform.

By
Sam Leavitt
|
December 13, 2021

[Video] Modern Materiality for ESG Investing

Technology
[Video] Modern Materiality for ESG Investing

Watch the Video

Identify New, Existing and Emerging Issues Using Transparent ESG Solutions

The market is increasingly rewarding companies for their climate and sustainability commitments. But do these commitments matter? How can you track them? And what do the regulators think?

Companies must communicate a plan to deliver on their commitments through investments and milestones. Otherwise, the headlines are meaningless. Meanwhile, investors are left to determine how to measure the progress of companies when it comes to achieving these commitments.

In this video, Amenity's ESG analysts, Eline Andresen and Sam Leavitt, answer these questions in real-time using Amenity’s industry-leading NLP platform. With Amenity’s latest ESG feature, Modern Materiality, investors can specifically isolate statements from companies around ESG commitments, investments, milestones, and exposures.

Eline and Same take you through Amenity's Modern Materiality approach, which quickly and precisely analyzes the multitude of document disclosures that strike at the heart of what companies are specifically doing about ESG issues.

The Amenity Analytics NLP platform, trained in the language of business, is used by top firms to generate key ESG insights from mountains of financial documents, company disclosures, and news. We build solutions that automate workflows to help industry leaders gain an edge.

Goal-Driven ESG Analysis

Get a demo of Amenity's ESG Safeguard Platform to see how you can analyze, enrich, and extract ESG insights from news and earnings calls with highly accurate models running at enterprise scale.


This communication does not represent investment advice.

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