30 March 2026
Paul Kalogirou, Head of Client Portfolio Management, Asia & Global Multi-Asset Solutions
Christopher Walsh, CFA, Senior Portfolio Manager, Multi-Asset Solutions


Global supply chains are being reshaped by deglobalisation, geopolitics, and the race for energy and technological security, shifting the focus from efficiency toward resilience. In this environment of higher costs, persistent inflation pressures, and constrained supply, real assets may play an increasingly important role in helping investors navigate uncertainty and capture long‑term structural trends.
Global Multi Asset Diversified Income Strategy (GMADI) update: A balanced approach to market volatility
Global equity markets have recently experienced sharper movements, particularly in areas linked to artificial intelligence (AI). Earnings announcements from AI hardware, semiconductor and large cloud-computing companies have been key sources of volatility. Concerns about potential interest rate hikes have added to uncertainty. The Global Multi Asset Diversified Income (GMADI) Strategy has not been immune to these market movements. However, its income focus, broad diversification and relatively defensive positioning may help limit the effect of sharp changes in technology and growth-related investments.
Global Equity Diversified Income (GEDI) Fund: Staying selective through market volatility
Global equity markets have recently experienced greater volatility. Much of this has been driven by earnings announcements from AI hardware, semiconductor and large cloud-computing companies. Concerns about potential interest rate hikes have also added to investor uncertainty. After a prolonged period of strong performance in AI-related areas, market expectations have become demanding. Even companies reporting solid results have experienced sharp share-price moves when their outlook has only met, rather than exceeded, investor expectations. Against this backdrop, the GEDI Fund remains focused on its core objective: generating income while maintaining diversified exposure to potential capital growth.
Real assets and the infrastructure behind AI
Artificial intelligence (AI) is often positioned as a story of models and applications, but its growth depends heavily on something far more tangible. Real assets such as data centres, power grids, and raw materials form the physical that supports AI development. As structural forces reshape the investment landscape, real assets are emerging as an enabler of the AI buildout.
Global Multi Asset Diversified Income Strategy (GMADI) update: A balanced approach to market volatility
Global equity markets have recently experienced sharper movements, particularly in areas linked to artificial intelligence (AI). Earnings announcements from AI hardware, semiconductor and large cloud-computing companies have been key sources of volatility. Concerns about potential interest rate hikes have added to uncertainty. The Global Multi Asset Diversified Income (GMADI) Strategy has not been immune to these market movements. However, its income focus, broad diversification and relatively defensive positioning may help limit the effect of sharp changes in technology and growth-related investments.
Global Equity Diversified Income (GEDI) Fund: Staying selective through market volatility
Global equity markets have recently experienced greater volatility. Much of this has been driven by earnings announcements from AI hardware, semiconductor and large cloud-computing companies. Concerns about potential interest rate hikes have also added to investor uncertainty. After a prolonged period of strong performance in AI-related areas, market expectations have become demanding. Even companies reporting solid results have experienced sharp share-price moves when their outlook has only met, rather than exceeded, investor expectations. Against this backdrop, the GEDI Fund remains focused on its core objective: generating income while maintaining diversified exposure to potential capital growth.
Real assets and the infrastructure behind AI
Artificial intelligence (AI) is often positioned as a story of models and applications, but its growth depends heavily on something far more tangible. Real assets such as data centres, power grids, and raw materials form the physical that supports AI development. As structural forces reshape the investment landscape, real assets are emerging as an enabler of the AI buildout.