BlackRock has appointed Matt Levy-Odom to lead its stewardship efforts in the Americas. Levy-Odom will oversee engagement with companies and investors on environmental, social, and governance issues. He will work with BlackRock's Global Stewardship team to develop and implement stewardship strategies. Levy-Odom has experience in ESG investing and has worked at BlackRock for over a decade.
BlackRock, the world's largest asset manager, has appointed Matt Levy-Odom to lead its stewardship efforts in the Americas. Levy-Odom will oversee engagement with companies and investors on environmental, social, and governance (ESG) issues, working closely with BlackRock's Global Stewardship team to develop and implement stewardship strategies [1].
Levy-Odom brings extensive experience in ESG investing to the role. He has been with BlackRock for over a decade, gaining valuable insights into the complexities of sustainable investing. His appointment comes at a critical juncture, as asset managers face increasing pressure from Democratic state officials to consider long-term effects such as climate change when making investment decisions [2].
The move by BlackRock follows a coordinated campaign by Democratic state officials, who have sent letters to major asset managers urging them to prioritize long-term investment decisions. These officials argue that a passive approach to oversight, as advocated by some Republicans, is shortsighted and fails to create long-term value in modern capital markets [2].
The appointment of Levy-Odom underscores BlackRock's commitment to responsible investing and aligns with the growing trend of integrating ESG factors into investment strategies. As ESG investing gains traction, it is crucial for asset managers to demonstrate a robust approach to stewardship and long-term value creation.
References:
[1] https://www.ainvest.com/news/democrats-push-gop-anti-esg-approach-urging-asset-managers-prioritize-long-term-investment-decisions-2508/
[2] https://www.cryptopolitan.com/blackrock-fuels-288m-as-ether-etf-rebound/
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