27 April 2026
Ryan Davies, CFA Senior Portfolio Manager
Michael P. Evans, CFA Managing Director, Equity Client Portfolio Manager
Semiconductors have been one of the strongest parts of global equity markets so far in 2026, with performance supported by a powerful mix of demand and improving fundamentals. The headlines have focused on artificial intelligence (AI), but the opportunity set is broader than a single theme or a handful of companies. As AI infrastructure expands, it is driving investment not only in high-performance computing chips, but also in the networking and power technologies that keep modern data centres running. At the same time, parts of the industry outside AI are showing early signs of stabilisation and recovery.
Asset allocation views on SpaceX IPO, Reopening of Strait of Hormuz, and the BOJ rate hike
The Multi Asset Solutions Team (MAST) provides asset allocation views on three recent developments that could influence markets in different ways: the SpaceX Initial Public Offerings (IPO), the reopening of the Strait of Hormuz, and the Bank of Japan’s (BOJ) rate hike. In our view, these events create mixed signals across growth, inflation and liquidity. Overall, the backdrop still appears uneven, and this may support a measured and selective approach to asset allocation rather than a broad increase in risk.
Not another bubble: How semiconductors are powering a real future
Semiconductors sit behind almost every modern experience – from smartphones and cars to cloud computing and today’s AI tools – yet they remain largely invisible to most people. They are more than chips only, and the demand is being supported by several long-term forces. We believe that today’s semiconductor excitement is not a repeat of the dot-com bubble, as investment is tied to real infrastructure and revenue-generating services. And the opportunity is broader than a handful of headline AI names.
Global Multi Asset Diversified Income Fund (GMADI) update amid recent Middle East developments
Global markets turned to a risk off mode in March 2026 as rising geopolitical tensions in the Middle East eclipsed earlier optimism about growth and policy support. Equity and fixed-income markets declined as energy price shocks and uncertainty weighed on investor confidence. However, the diversified portfolio construction and income generation focus supported the Manulife Global Fund – Global Multi Asset Diversified Income Fund (“GMADI” or “the Fund”) in delivering relatively resilient performance ( 4%) .
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.
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