Green Bond
As the popularity of green bond has increased exponentially, it has become necessary to leverage technology to spot greenwashing and ensure that capital is invested in the aligned impact projects for the right reasons. EMAlpha utilizes AI-ML technology to rate and score green bonds and green bond issuers. This allows investors to assess how strongly a green bond is aligned with GBP (Green Bond Principles).
GBP category scores based on self-disclosures
Dynamic green bond issuer scores
AI-ML based assessment
Wide coverage of green bonds
Use-cases
EMAlpha’s green bond is meant for asset managers and investors looking to utilize technology to diversify their portfolios.
Spot greenwashing
Dynamic issuer scores helps build context
Portfolio structuring
GBP alignment assessment
ESG Data
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
Portfolio analysis
Framework specific analysis
Self-disclosure data and benchmarking
Real time news tracking
50+ markets covered
Portfolio analysis
Framework specific analysis
Self-disclosure data and benchmarking
Use-cases
Asset managers and fund managers looking to implement ESG filter in their investments can use EMAlpha’s ESG data for:
Investment decisions
Risk Management
Thematic ETFs