Top 12 ESG Companies in 2022

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In this article, we discuss the top 12 ESG companies in 2022. If you want to skip our detailed introduction of the ESG investing dynamics and challenges in the industry, you can go directly to read Top 5 ESG Companies in 2022

Over the past few years the concept of ESG has evolved dramatically. Environmental, Social, and Governance principles no longer belong to the vague realm of fancy words but rather play a key role in investing circles. Environmentally-conscious investors and activist hedge funds now pay serious attention to ESG metrics of companies before making investment decisions. Data from Bloomberg Intelligence shows that global ESG assets are expected to surpass a whopping $50 trillion by 2025.

Regulatory pressure from governments around the world is also causing the companies to take ESG seriously. The Securities and Exchange Commission is working to develop a common benchmark on how sustainable products are assessed and reported. However, as outlined in a whitepaper titled “ESG Portfolio Monitoring – A Best Practice for All Sides” in detail, this pressure is resulting in a backlash from several circles.  Many fund managers believe these ESG regulations sometimes tend to be too harsh, and can affect their ability to perform to ensure maximum returns for their clients.

A Key Challenge in ESG Investing

It’s also becoming increasingly difficult for average investors as well as fund managers and asset owners to assess ESG risks of companies they want to invest in. Apparently, ESG rating agencies solve this problem. They evaluate companies and provide ESG risk scores and ratings based on their analysis. However, these ratings could further confuse the investor. This is the problem highlighted in the whitepaper we referred to above, authored by Steve Glass, the co-CEO of Abel Noser Holdings, a New York-based firm that provides Transaction Cost Analysis (TCA) and trade surveillance for investment managers and consultants.

The whitepaper argues that because of the lack of standardization and benchmarking in the industry, each ESG ratings agency uses different data sources, methodologies and processes to assess a company. This results in huge variance and subjectivity in ESG scores.

The whitepaper recommends using machine learning and AI to resolve this problem. The paper mentions an interesting example of OWL ESG, a California-based ESG analysis company that uses machine learning to process millions of data points from a plethora of sources to come up with consensus ESG ratings. These consensus ratings minimize divergence and discrepancies in ESG ratings.