KBC Asset Management NV first decides which asset classes, regions, sectors and
themes are eligible for investment. The models then apply a variety of artificial intelligence techniques to the generated expectations or forecasts to help determine on a daily basis the population or diversification of the stock component and bond component across the eligible regions, sectors and themes. Use can also be made of sentiment data to determine the content and the spread of the stock component. Examples of this can be the sentiment expressed in news articles or the quantity of publications about a particular company.

The influence of artificial intelligence is more limited for populating the bond component
than for the stock component or for determining the allocation between asset classes (for more details, see the ‘selected strategy’ section in the information concerning this sub-fund in the prospectus).

However, the fund manager may decide at any time not to follow the models or to follow them only partially. Human intervention is more likely in exceptional circumstances. It is possible for the fund to invest in asset classes that are not included in the target allocation. The stock component is invested in a worldwide selection of shares. The bond component is invested in a worldwide selection of bonds. The credit rating* that the bond component must meet is set out in the prospectus (for more details, see the 'Investment details' section in the information concerning this sub-fund in the prospectus). Investments in both components may be made in any region, sector or theme.