Product Innovation: Unlocking Client Flows with AI and Fixed Income Strategies (2026)

In today's rapidly evolving financial landscape, asset managers face a unique challenge: keeping up with client demands that outpace the traditional product development cycle. This was the focus of a recent discussion at the Malaysia Wealth Management Forum 2026, where industry experts delved into the strategies employed by firms to construct portfolios, source products, and scale advice across diverse client segments.

One key insight emerged from Edwin Leong, Head of Product Innovation and Research at RHB Asset Management. Leong offered a glimpse into the world of product origination, shedding light on the direction of client flows, the intricacies of Malaysia's fixed income market, and the innovative use of artificial intelligence (AI) to enhance asset allocation decisions.

Income-Oriented Strategies: A New Normal?

Leong highlighted a notable shift in client preferences towards income-oriented products, particularly those employing call option premium strategies. This trend reflects a broader desire for predictability and transparency in income generation. Clients are seeking strategies that offer a structured and repeatable income stream, moving away from traditional coupon or dividend-based income.

Equity Exposure: A Return to Favour

In addition to income-focused strategies, Leong observed a resurgence of interest in products with full equity exposure. Clients are allocating to technology, gold equity, and broad Asia ex-Japan strategies as confidence in listed markets rebounds. This trend suggests a shift towards a more balanced approach, where investors seek a blend of stable income and participation in equity upside.

The Fixed Income Conundrum in Malaysia

Malaysia's fixed income market presents a unique challenge. Leong explained that the market is heavily dominated by local strategies, with institutional and government-linked capital driving the landscape. However, he noted a growing appetite among retail and bank distribution channels for differentiated fixed income products that offer above-market returns.

The critical constraint remains currency hedging costs. For offshore fixed income strategies to make commercial sense for Malaysian investors, they must clear a significant hurdle in terms of returns, taking into account hedging and associated fees. This implies that product designers must carefully consider the yield premium required to make offshore strategies attractive to local investors.

AI: A Tool for Emotional Bias Removal

Leong's most intriguing revelation was RHB Asset Management's adoption of AI as a tool for asset allocation. The firm, while rooted in traditional fundamental stock-picking, has embraced AI to determine monthly asset allocation, thus removing emotional decision-making from the process.

The approach is pragmatic, focusing on a specific function where emotional bias can be a risk. By applying an AI model to tactical asset allocation, RHB aims to generate measurable benefits without overhauling its investment philosophy. This targeted application of AI offers a compelling case study for the Malaysian market, where many asset managers are still exploring the potential of this technology.

The Evolving Role of Asset Managers

Leong's insights highlight the evolving nature of the asset management industry. Asset managers are no longer solely focused on product construction; they must also provide advisory support, market insights, and clear explanations for their strategies. The income trend, fixed income constraints, and the use of AI each present unique challenges that asset managers must navigate to stay relevant and meet client needs.

RHB Asset Management's approach, as exemplified by Leong, demonstrates a disciplined innovation strategy. By maintaining its fundamental research heritage while selectively adopting new tools, the firm ensures it is responding to genuine client demands rather than industry fads. This balanced approach is likely to be a key differentiator in an increasingly competitive market.

Conclusion

The insights shared by Edwin Leong offer a glimpse into the future of asset management, where product innovation, market understanding, and the strategic use of technology are paramount. As the financial landscape continues to shift, asset managers must adapt and innovate to stay ahead of client demands. Leong's perspective provides a valuable roadmap for the industry, highlighting the importance of a balanced approach to product development and distribution.

Product Innovation: Unlocking Client Flows with AI and Fixed Income Strategies (2026)

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