About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Bloomberg Employs ML and Industry-Implied Models to Increase Carbon Emissions Data

Subscribe to our newsletter

Bloomberg has increased its carbon emissions dataset to cover 100,000 companies. The dataset consists of company reported carbon data and estimates based on either a machine learning smart model or Bloomberg’s newly developed industry-implied model accompanied by a Partnership for Carbon Accounting Financials (PCAF) reliability score.

“Greater precision in Scope 1, 2 and 3 carbon emissions data will enable asset managers and banks to measure the extent of climate change risk within their investment and lending portfolios, and across their operations as a whole,” says Brad Foster, head of enterprise data content at Bloomberg. “To date, limited and inconsistent corporate disclosure of these emissions has posed a challenge. Our expansion of this dataset will help to address these gaps so clients have actionable information to identify climate related opportunities and risks.”

When company reported carbon emissions data is not available, Bloomberg applies estimation techniques guided by a waterfall principle to increase the scope of companies covered and provide a more complete picture of emissions. The first estimation technique uses Bloomberg’s ML based smart model incorporating 800+ data points to estimate Scope 1 and 2 emissions with historical data going back to 2010. Last year, Bloomberg also released Scope 3 estimates for Oil and Gas, Metals and Mining, and Services industries using a methodology combining a bottom-up model with a top-down ML model.

When there is not enough data available to apply these ML models, the waterfall technique automatically reverts to Bloomberg’s new industry-implied model. This method uses peer emissions and sales data to estimate a company’s emissions. These estimates are accompanied by a reliability score based on the scale proposed by the PCAF so investors can understand the quality of an underlying datapoint.

Bloomberg’s carbon emissions data is available via the Bloomberg Terminal. A subset of the data is also available to Bloomberg Data License clients and can be accessed via the company’s data website, data.bloomberg.com

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency, disparate sources and lack of standardization. Without reliable access, your firm may face inefficiencies,...

BLOG

Innovative Systems Wins Best Data Solution for Regulatory Compliance Award at A-Team Group’s DMI USA Awards 2025

Innovative Systems has won the award for Best Data Solution for Regulatory Compliance for its FinScan Enhance solution in the Data Management Insight USA Awards 2025. The awards recognise established providers and innovative newcomers who offer solutions that are providing leading data management solutions, services and consultancy to capital markets participants across Europe. Winners are selected...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...