Description
Explain that Fund: Why can two ETFs tracking the same theme behave so differently?
In this episode, Gavin will cover the news in the ETFs world and David will look at why two ETFs that appear to track the same theme can still produce very different results.
Two thematic ETFs may have similar names and hold many of the same companies, but the weighting rules decide which holdings have the greatest influence. Using artificial intelligence ETFs as an example, a market-cap-weighted fund may be driven by a handful of mega-cap technology companies, while an equal-weighted or thematic-relevance-weighted fund may give more influence to smaller software businesses, semiconductor suppliers and specialist companies.
This week’s section looks at how the different approaches change the balance between concentration, diversification, liquidity, volatility and thematic purity. It will also examine the effect of position caps and rebalancing frequency, including the trade-off between keeping a portfolio responsive to a fast-changing theme and limiting turnover and trading costs.
The section will explain why investors should look beyond the fund name and even the list of holdings. The theme determines which companies can be included, but the weighting method determines which companies actually drive returns.
What will be covered:
- How market-cap, equal and thematic-relevance weighting work
- Why ETFs with similar holdings can perform very differently
- The trade-off between mega-cap concentration and more targeted exposure to smaller specialists
- How position caps and rebalancing frequency affect volatility, turnover and responsiveness
- Why investors should check top-holding weights, overlap and index rules – not just the fund name
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