In today's rapidly evolving investment landscape, the role of wealth managers is more crucial than ever. Nicolas Gisbert, Head of Sales at Morningstar Research, recently shared his insights on how these professionals can navigate the complexities of fund selection and monitoring. His presentation at the Hubbis Malaysia Wealth Management Forum 2026 highlighted the need for a disciplined and forward-looking approach, one that goes beyond the traditional reliance on past performance.
The Changing Investment Landscape
The investment universe has expanded significantly, offering a vast array of choices from mutual funds to private markets and alternatives. This expansion, coupled with the rise of personalized investment preferences and the influence of AI, has created a complex environment. Gisbert emphasized that wealth managers must adapt their selection processes to keep up with these changes.
Key Principles for Fund Selection
Transparency and Independence: Morningstar's mission revolves around these principles. Gisbert likened the lack of transparency in the past to 'dim sum', where the contents are not always obvious. He stressed that understanding what's inside an investment product is crucial for making informed decisions.
Long-Term Focus: Morningstar's research takes a three to five-year investment horizon, looking beyond short-term market noise. This approach ensures a more stable and reliable evaluation of investment options.
Forces Reshaping Fund Selection
Expanding Investment Choice: The number of products available has grown exponentially, offering more opportunities but also increasing complexity.
Data and Technology Revolution: AI is transforming how data is used, providing both internal efficiency gains and external client-facing opportunities. However, Gisbert cautioned that AI's usefulness in investment research relies on verified data and analyst-reviewed content.
Personalization: The rise of ESG and Shariah-compliant strategies reflects a growing trend towards personalized portfolios. Gisbert believes AI will make customization more scalable, catering to diverse investor preferences.
Morningstar's Research Universe
Morningstar's data covers a wide range of investment types, from managed investments to private companies and ESG-rated securities. This breadth is essential as fund selection now encompasses public and private markets, active and passive strategies, and conventional and sustainability-oriented mandates.
A Structured Fund Selection Process
Gisbert outlined a five-step process:
- Identification: Defining the relevant universe based on asset class, sector, and other criteria.
- Quantitative Screening: Building a long list and applying scorecards to assess measurable criteria, but not solely relying on performance.
- Qualitative Screening: Morningstar's analyst-led research evaluates the fund's people, process, and parent structure.
- Due Diligence: Understanding the manager, process, and operational infrastructure.
- Portfolio Integration and Monitoring: Assessing the fund's fit within the client's portfolio and its impact on diversification.
Looking Beyond Past Performance
Gisbert emphasized the importance of evaluating risk-adjusted returns, alpha generation, peer comparisons, fees, and active share. He highlighted fees as a key determinant of outcomes, reducing net returns if not properly assessed.
The Morningstar Medalist Rating Framework
This qualitative assessment evaluates funds based on three pillars: People, Process, and Parent. The rating system (Gold, Silver, Bronze, Neutral, Negative) indicates the fund's potential for positive alpha. Gisbert stressed that the rating is forward-looking, designed to assess future performance.
Due Diligence and Portfolio Fit
Gisbert argued that fund selection is an ongoing process. Due diligence is essential to understand the manager's interaction points and potential risks. Portfolio fit is crucial, ensuring the fund aligns with the client's asset allocation and risk profile. Monitoring post-allocation is vital, including performance reviews and risk assessments.
Common Pitfalls in Fund Selection
Gisbert identified several mistakes to avoid: chasing performance, ignoring fees, poor diversification, neglecting risk assessment, and overlooking fund manager changes. He emphasized the need for a repeatable framework, not driven by recent returns or marketing.
AI and the Future of Research Consumption
Morningstar's approach to AI involves leveraging trusted data and accumulated research. Gisbert believes AI can enhance efficiency but should not replace the discipline of human research. The MCP server connects Morningstar's research with AI tools, allowing clients to access verified data and insights more easily.
A Disciplined Standard for Fund Selection
Gisbert concluded that fund selection is becoming more challenging. The investment landscape is broader, client preferences are more specific, and technology is changing research delivery. Wealth managers must adapt, combining transparency, independent research, long-term thinking, data quality, and disciplined monitoring.
Final Thoughts
Good fund selection is about improving investor outcomes, not just finding the best-performing fund of the year. It requires a deep understanding of the market, the client's needs, and the product's potential. Gisbert's presentation offers a comprehensive guide for wealth managers to navigate this complex landscape.
