How do company’s disclosures such as its sustainability report fare when assessed under a global framework? What does an ESG report convey?
Using proprietary multilingual NLP, EMAlpha has developed an ESG Lens to assist analysts and investors looking to analyse company’s self-disclosures and any other relevant text. Now, decode and score any text, any pdf file, in any language and in multiple ESG frameworks. Textual analytics are broken down into framework relevant categories for further granularity.
Any text, any pdf file
Multiple framework scores with granular details
Users can upload their own framework
Analysts and investors looking at making a prudent ESG analysis of a company’s self-disclosure can use ESG Lens to:
Peer group analysis for actionable insights
Perform framework-specific analysis
Benchmark against any company in the world
Using multilingual NLP technology, EMAlpha extracts relevant data from over 50+ developed and emerging markets including US, UK, Japan, China, India, Brazil, and South Korea. Information previously hidden in the local dialect is now accessible to investors, enabling them to take timely action.
Real time news tracking
50+ markets covered
Framework specific analysis
Self-disclosure data and benchmarking
Asset managers and fund managers looking to implement ESG filter in their investments can use EMAlpha’s ESG data for: