In the dynamic landscape of asset management, where client demands are ever-evolving, the traditional role of asset managers is undergoing a transformative shift. The focus is no longer solely on manufacturing funds and waiting for distribution; instead, it's about actively reading market trends, identifying gaps in advisory portfolios, and leveraging emerging technologies like artificial intelligence (AI) to enhance investment decision-making. This evolution was vividly illustrated at the Malaysia Wealth Management Forum 2026, where a panel of experts, including Edwin Leong, Head of Product Innovation and Research at RHB Asset Management, delved into the intricacies of product innovation and market trends. The discussion, chaired by Alex Ng, Managing Director and Head of Intermediary, Asia Client Group at Janus Henderson Investors, shed light on the evolving strategies and challenges faced by asset managers in a rapidly changing market.
Following the Flows
Leong provided a comprehensive overview of the current investment trends, emphasizing the dominance of income-oriented strategies. He noted a strong demand for products that utilize call option premium strategies to generate structured and repeatable income. This shift in client expectations towards predictability and transparency in income generation is a significant trend in the market. Beyond income, Leong observed a resurgence in flows into full equity exposure products, particularly in technology, gold equity, and broad Asia ex-Japan equity. This trend reflects a balanced approach, where clients seek stable cash generation while participating in equity upside.
The Fixed Income Constraint
The conversation then turned to Malaysia's fixed income market, where Leong highlighted a structural limitation. The market is heavily skewed towards local strategies, dominated by institutional and government-linked capital. However, he drew attention to the growing appetite for differentiated fixed income strategies among retail and bank distribution channels. The critical constraint, as Leong pointed out, is the hedging cost associated with offshore fixed income strategies. Malaysian investors require attractive returns that surpass the local fixed income market, making currency hedging and associated fees a significant hurdle for offshore products.
AI as an Allocation Tool
Leong's most forward-looking contribution was RHB Asset Management's adoption of AI in asset allocation. The firm has launched a strategy that utilizes an AI overlay to determine monthly asset allocation, removing emotional bias from the process. This pragmatic approach, as Leong explained, focuses on a specific decision point where emotional bias is a known risk. By ring-fencing tactical asset allocation and complementing it with AI, RHB maintains its fundamental research heritage while leveraging AI's capabilities. This approach offers a useful case study for the Malaysian market, where many asset managers are still in the early stages of AI adoption.
Bridging Manufacturing and Distribution
The discussion underscored the evolving relationship between asset managers and their distribution partners. In a market where actively managed funds are sold rather than bought, asset managers must provide advisory support, market insights, and clear explanations of investment strategies tailored to specific client segments. The income trend, fixed income constraint, and AI overlay each reflect different dimensions of this challenge. Income strategies demand transparency, fixed income products must overcome hedging hurdles, and AI tools need to build confidence among advisers and clients who remain skeptical of algorithmic decision-making. RHB Asset Management's pragmatic approach, guided by market demand, suggests a firm innovating with discipline, ensuring that its innovations align with the market's needs.
