In the dynamic landscape of asset management, where client demands are in constant flux, the traditional roles of asset managers are evolving. The Malaysia Wealth Management Forum 2026, hosted by Hubbis in Kuala Lumpur, brought together industry leaders to discuss the latest trends and innovations. Among the speakers, Edwin Leong, Head of Product Innovation and Research at RHB Asset Management, offered a unique perspective on product innovation and the integration of emerging technologies like artificial intelligence (AI).
Leong's insights shed light on the shifting preferences of investors, particularly in Malaysia. One of the key trends he highlighted was the growing demand for income-oriented strategies, especially those utilizing call option premium strategies. This shift reflects a broader change in client expectations, as investors seek predictability and transparency in their income generation. The structured nature of these strategies, where income is derived through options-based mechanisms, is particularly appealing.
However, Leong also noted a parallel trend: the return of flows into products with full equity exposure. This includes sectors like technology, gold equity, and broad Asia ex-Japan equity. The two trends are not mutually exclusive, as clients increasingly seek a balance between stable cash generation and participation in equity upside. This highlights the importance of asset managers in constructing portfolios that meet the diverse needs of their clients.
A critical constraint in Malaysia's fixed income market is the currency hedging cost. Offshore fixed income strategies struggle to deliver attractive returns when fees and hedging costs are considered. This has led to a heavy skew towards local strategies, dominated by institutional and government-linked capital. However, there is a growing appetite for differentiated fixed income strategies among retail and bank distribution channels, where above-market returns are sought.
Leong's most forward-looking contribution concerned RHB Asset Management's adoption of AI as a tool for asset allocation. The firm has launched a strategy that uses an AI overlay to determine monthly asset allocation, removing emotional bias from the process. This pragmatic approach, which focuses on a specific decision point, offers a useful case study for the Malaysian market, where many asset managers are still in the early stages of AI adoption.
The relationship between asset managers and their distribution partners is also evolving. In a market where actively managed funds are sold rather than bought, asset managers must provide advisory support, market insight, and clear explanations of why a particular strategy makes sense for a specific client segment. This requires a deep understanding of client needs and the ability to articulate the value proposition of different strategies.
In conclusion, the asset management industry is undergoing significant changes, driven by shifting client demands and the integration of new technologies. Asset managers must adapt to these trends, offering innovative solutions that meet the diverse needs of their clients. The case of RHB Asset Management, with its pragmatic approach to AI and focus on client-driven innovation, offers a compelling model for the future of asset management in Malaysia and beyond.
