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Do thematic ETFs have too much overlap with established indices?

Published 7 November 2022

Christopher Gannatti, CFA
Christopher Gannatti, CFA

Global Head of Research

Our recent survey revealed that 31% of European professional investors say they don’t allocate to thematic ETFs as there is too much overlap with existing portfolio allocations1. In this blog, we explore why this isn’t always the case and the importance of always checking ‘under the bonnet’.

The best thing about exchange-traded funds (ETFs) is that they represent a wider array of tools that investors can use to manage the risks they want to take within their portfolios. Thematic ETFs are simply a subset of the broader ETF universe.

It is our belief that the ultimate value of ETFs, thematic or otherwise, comes from the ease with which they can be used to satisfy portfolio objectives.

Building a thematic strategy: WisdomTree’s case study of artificial intelligence

In the latter part of 2018, WisdomTree was contemplating its initial foray into thematic strategies. Artificial intelligence (AI) was going to be the first offering.

In constructing the exposure, we noticed what we believe is one of the classic conundrums when building an investment like this.

One doesn’t need to look too deeply at companies like Amazon, Alphabet, Microsoft and Apple to see that artificial intelligence is important. These companies contribute a lot to research and development in the space, and they tend to also have massive platforms of users. When companies have such large user bases (billions in some cases) any action taken or offering made is globally significant within an instant. Not many companies have ever had this in the history of the world.

However, these companies tend to be some of the largest weights in the most established benchmarks, whether one is tech-focused looking at the Nasdaq 100 Index or more globally focused looking at the MSCI ACWI Index. Even if we had an amazing AI story behind Amazon, Alphabet, Microsoft and Apple, and even if everyone chose to agree with our story, many wouldn’t even need our ‘new fund’ to take advantage. Without ever hearing the story, they already have the exposure!

Figure 1 showcases how WisdomTree addressed this challenge within the context of the Nasdaq CTA Artificial Intelligence Index. Whilst not the only solution, it is a notable example.

Statement of the problem: Some of the world’s largest companies (Amazon, Apple, Microsoft and Alphabet) do a lot within the artificial intelligence space and could make sense within such a megatrend exposure. However, if investors have exposure to equities, it is highly likely that they already have exposure to these firms whether or not they care about AI.

WisdomTree’s approach to mitigation: Within the context of the Nasdaq CTA Artificial Intelligence Index, companies are split into 3 distinct groups: Engagers, Enablers and Enhancers. Engagers are those companies for which AI is the clear dominant focus and, when they sell a product or service to customers, they are spreading AI. These companies will comprise 50% of the total exposure. Enablers are companies that represent the hardware upon which AI runs, largely semiconductors, and these are 40% of the total exposure. Enhancers are those companies which may be very large, very important, but that do many things that could very well include AI. Enhancers will only be 10% weight in total.

By classifying Amazon, Apple, Alphabet and Microsoft as ‘Enhancers’, the weight is therefore reduced and investors will not see a top 10 holdings that looks similar to the world’s benchmark indices.

Figure 1: Tiering exposures to control putting too much weight in the world’s largest companies

Source: WisdomTree, CTA, Nasdaq. Total returns of stocks are in USD terms and for the period between two rebalances, from 17 September 2021 to 18 March 2022. If companies went public after 17 September 2021, their return is computed starting from the day of their IPO or direct listing. Companies are constituents of the NASDAQ CTA Artificial Intelligence Index. Weights represent hypothetical equal weights computed from the number of stocks within each index category and the portfolio weight allocated to that category, assuming 50% for engagers, 40% for enablers and 10% for enhancers.

You cannot invest directly in an index.

Historical performance is not an indication of future performance and any investments may go down in value.

Conclusion: always check the overlap

If investors were to walk away from reading this piece remembering one statement, it should be this: always check the overlap.

What we mean specifically is to recognise that every portfolio has existing, main benchmark exposures. Investors must recognise what these are and then test any new investment, thematic or otherwise, against them.

In Figure 2, we can consider a hypothetical example where an investor has a lot of large market capitalisation tech exposure, mostly through the United States. Is it appropriate to include a strategy focused on cloud computing?

One metric that could help in assessing this decision could be overlap. We know that the largest public cloud providers (Amazon Web Services, Microsoft Azure and Google Cloud) are parts of some of the largest companies in the world and are already represented in the S&P 500, Nasdaq 100 and other major benchmarks.

But does a cloud computing exposure need exposure to these parts of the market?

Our real answer is that it depends. In Figure 2, we show the overlap between the BVP Nasdaq Emerging Cloud Index which, due to its focus on the ‘emerging cloud’, does not include exposure to any of the world’s largest companies that house the big public cloud providers. Other cloud strategies may include these companies. Our point is not to say ‘one is right’ and ‘one is wrong’, but rather to simply say that many investors already have exposure to the world’s largest public cloud providers without needing to focus on a cloud investment.

Figure 2: Emerging cloud is different from the largest public cloud player

Source: WisdomTree, Nasdaq, FactSet, MSCI, S&P Global. As of 31 May 2022. EMCLOUD is the BVP Nasdaq Emerging Cloud Index. Overlap of common securities is the sum of all overlapping weights with EMCLOUD within a given index. Overlapping weight is computed as the lower weight of a security that is held both in EMCLOUD and a given index.

You cannot invest directly in an index.

Historical performance is not an indication of future performance and any investments may go down in value.

Our bottom line: with more tools to manage portfolios, the greater the burden of needing to understand how they all interact. Hopefully, this short piece gives some food for thought in this practice.

1 Pan European Professional Investor Survey, September 2022, 600 respondents, conducted by Core Data Research

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+ WisdomTree Artificial Intelligence UCITS ETF – USD Acc (WTAI/INTL)

+ WisdomTree Cloud Computing UCITS ETF - USD Acc (WCLD/KLWD)

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About the contributor

Christopher Gannatti, CFA
Christopher Gannatti, CFA

Global Head of Research

Christopher Gannatti began at WisdomTree as a Research Analyst in December 2010, working directly with Jeremy Schwartz, CFA®, Director of Research. In January of 2014, he was promoted to Associate Director of Research where he was responsible to lead different groups of analysts and strategists within the broader Research team at WisdomTree. In February of 2018, Christopher was promoted to Head of Research, Europe, where he was based out of WisdomTree’s London office and was responsible for the full WisdomTree research effort within the European market, as well as supporting the UCITs platform globally. In November 2021, Christopher was promoted to Global Head of Research, now responsible for numerous communications on investment strategy globally, particularly in the thematic equity space. Christopher came to WisdomTree from Lord Abbett, where he worked for four and a half years as a Regional Consultant. He received his MBA in Quantitative Finance, Accounting, and Economics from NYU’s Stern School of Business in 2010, and he received his bachelor’s degree from Colgate University in Economics in 2006. Christopher is a holder of the Chartered Financial Analyst Designation.

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