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The fund performance will depend on the asset allocation preferences, so during the process of the selection of the funds and their weights, outputs of an artificial intelligence-based portfolio evaluation model will be taken into consideration as a reference. Asset allocation preferences by the portfolio manager within the risk limits are integrated with the computer-based portfolio optimization models and the outcome is applied to the fund portfolio. Accordingly, a “Reference Portfolio” is established within the framework of Financial Asset Pricing Model (CAPM) and Bayesian Return Estimation Models. Fund allocations are implemented with the views of the Asset Allocation Committee in line with the Reference Model outcome. Changes in allocations can be made in accordance with the market conditions and opinions of the portfolio manager.
Benchmark
* As of
*Represents year to date returns. For funds established after the beginning of the year, the returns are since inception.
**Past term Fund returns are not an indication of future returns.
The recorded fund price changes since the IPO date are listed. You can view price changes on different dates by selecting a date range or period.
