The investment seeks total return. The fund seeks to achieve its objective by investing, under normal circumstances, at least 80% of its net assets, plus any borrowings for investment purposes, in ...
Maple-Brown Abbott Global Listed Infrastructure (MBA GLI), a Maple-Brown Abbott affiliate, is partnering with a London-based asset manager to launch a UCITS fund for global infrastructure, expecting ...
GII is a buy for exposure to global infrastructure, benefiting from AI, renewables, and urbanization megatrends driving robust long-term demand. The ETF offers a high dividend yield, resilient ...
The PGIM Jennison Global Infrastructure Fund advanced but underperformed the Index for the quarter. We believe the 50% price to earnings (P/E) discount to its U.S. regulated utility peers is wildly ...
Fund tokenisation is moving from experimentation into operational deployment. What was once treated as a specialist digital ...
Brookfield Global Infrastructure Securities Income Fund ( ($TSE:BGI.UN) ) has issued an update. Brookfield Global Infrastructure Securities Income Fund has renewed ...
Mutual fund feeds and expenses are charges that may be incurred by investors who hold mutual funds. Running a mutual fund involves costs, including shareholder transaction costs, investment advisory ...
The performance of the UK’s listed infrastructure funds continues to be dismal. The average dividend yield of the renewable energy sector is 8.9%, having spiked to an all-time high of 10.6% on 7 April ...
Infrastructure investing, once a sleepy backwater of the stock market, has become more popular with investors, and BlackRock has quickly become a dominant player in the space. Most of its offerings ...
Pacific Asset Management has entered into a partnership with Australian boutique Maple-Brown Abbott Global Listed ...
ClearBridge Investments, an investment management company, released its “ClearBridge Global Infrastructure Income Strategy” second quarter 2025 investor letter. Markets rebounded in the second quarter ...
Most AI ETFs are diluted with software and chip companies rather than the physical infrastructure that determines how fast AI scales. Hyperscalers are spending roughly $350 billion in 2025 on data ...