
2026 | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2016 | 2015 | 2014 | 2013 | 2012
- The fund aims to add value to investors through dynamic asset allocation, guided by a deep analysis of fundamental risk and return drivers.
- The fund has no market cap or style biases, adjusting exposure based on economic conditions. Equities may range from 30% to 70%, fixed income from 25% to 65%, alternatives from 0% to 10%, and cash from 0% to 20%.
- The fund aims to outperform a 60:40 equity-bond benchmark, using 60% MSCI World Index (Net) and 40% FTSE World Government Bond Index (SGD Hedged) as its reference benchmark.
- While the fund typically holds 10 to 20 positions at any one time, it remains highly diversified due to its fund-of-funds investment strategy.
- Looking ahead, AI remains a dominant, structural investment theme, driving growth across the value chain from semiconductors to compute infrastructure to applications, supporting the fund’s overweight positions in the US and Asia/EM equities space.
Fund Investment Style

Source: Bloomberg Finance L.P., iFAST Compilations
Monthly total returns including gross dividends in SGD terms as of 31 Mar 2026
|
Recommended Fund |
3-year Annualised return |
3-year Maximum drawdown |
3-year Downside deviation |
3-year Risk-return ratio |
|
3.2% |
-17.6% |
5.5% |
0.12 |
|
|
Peer Average |
1.9% |
-17.5% |
5.5% |
-0.06 |
Source: Bloomberg Finance L.P., iFAST Compilations
Monthly total returns including gross dividends in SGD terms as of 31 Mar 2026
About the Fund Managers
The fund is managed by the Asian Multi-Asset Investments team, which has been headed by Keiko Kondo since 2017. The team has a deep bench of investment expertise with over 20 investment professionals.
The investment team applies an approach that goes beyond asset class allocation. Research and asset allocation are based on a deep analysis of the fundamental drivers of risk and return, expressed through underlying risk premia. The investment philosophy reflects the practical application of these risk premia, including performance expectations and how they fluctuate over time. The team seeks to add value through dynamic asset allocation by taking conviction positions where expected risk premia are attractive.

