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Navigating a momentum-driven market

16 July 2026, 11:25 Karena Naidu
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Global equity markets are currently being driven by a powerful momentum cycle, reshaping the opportunity set across our funds. The AI capex boom has seen beneficiaries such as industrials and semiconductors post exceptional returns. This wave of momentum is rewarding recent winners while punishing almost everything else, and a surprising amount of the buying appears to be mechanical rather than deliberate. In this piece, we look at why momentum has become so extreme, how we have adjusted our Global Equity portfolio in response, and where the market dispersion has created opportunity.

The dominance of momentum

The standout feature of today’s market is the dominance of the momentum factor. It has outperformed by a wide margin, while growth, quality and value have all lagged. Investors continue to crowd into the market’s winners, while capital flows away from those perceived to be on the wrong side of the trade.

Comparing the three-year rolling returns of the S&P Momentum Index with those of the S&P 500, the current level of outperformance is as extreme as it was during the dot-com bubble.

Graph 1: S&P Momentum Index vs S&P 500 (three-year rolling returns)

Source: Fairtree, Bloomberg, as at July 2026.

What makes this episode particularly unusual is that much of the move appears to be driven by market mechanics rather than fundamentals. Leveraged exchange-traded funds (ETFs), passive flows, short-dated options activity and multi-strategy hedge funds, often referred to as “pod shops”, are all reinforcing the same trend. Two structural forces stand out as being different from previous cycles:
  • The rapid growth of leveraged ETFs
  • Hedge fund positioning

1. The rapid growth of leveraged ETFs

Assets in leveraged ETFs have climbed above US$200b, roughly three times their 2022 level, as retail demand for leveraged investment products has surged. At the same time, options trading has become increasingly accessible and inexpensive. This has led to same-day expiry options trading accounting for 48% of all options traded, roughly doubling its share over the twelve months. The result is a market where leverage is amplifying existing trends and volatility.

When investors buy these products, the banks on the other side of the trade must purchase the underlying shares to maintain their hedges, creating additional buying pressure. Crucially, these flows are heavily concentrated in technology, specifically semiconductors, while software attracts relatively little of the same demand. As a result, mechanical buying continues to flow into one corner of the market while largely bypassing the one right beside it.

Graph 2: total leveraged ETF assets under management (AUM)

Source: Citadel Securities, GMI, as of June 2026.

 

2. Hedge fund positioning

Large multi-strategy hedge funds now account for a significant share of daily trading activity. Their tightly managed risk frameworks often reinforce prevailing market trends, leading to record positioning in semiconductors on both a net and gross basis. Meanwhile, exposure to software has fallen to an all-time low, reflecting concerns that software businesses may be among those most disrupted by AI.

Semiconductor positioning has risen to the 95th percentile of its historical range, while software sits at just the 2nd percentile. The AI build-out has created highly concentrated pockets of enthusiasm at both a sector and stock level. Together with the rise in leveraged investing, this helps explain why a small group of perceived AI beneficiaries continues to dominate market returns while other parts of the market are left behind.

Graph 3: Net hedge fund positioning: software versus semiconductors

Source: Morgan Stanley Prime Brokerage, as at January 2026.

 

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How we are positioned

We run a multi-factor approach and are style-agnostic, allocating capital across quality, value, growth and momentum depending on where we see the best opportunities. Historically, this has resulted in the portfolio being overweight in quality, value and growth in both absolute and relative terms, while remaining neutral on momentum on an absolute basis and underweight on a relative basis. Since we focus on cash flows and maintain a disciplined valuation framework, a market this dominated by momentum does not naturally favour our style.

This is where active management matters. Investing through periods like this is not about abandoning your philosophy but adapting to the environment. We slightly increased our momentum exposure earlier this year. In practice, this means holding onto our winners for longer and being more selective when adding to names that have lagged. It does not mean chasing winners and abandoning high-quality and growth companies that have underperformed. While we remain fundamentally driven investors, we have always tried to adjust the portfolio to reflect prevailing market conditions. This approach has helped us deliver consistent returns.

Narrow market breadth

Market breadth, defined as the share of stocks outperforming the S&P 500, has narrowed dramatically. We have now had three consecutive years of low breadth, with only around 30% of companies outperforming the index. When breadth is this narrow, index returns become increasingly concentrated in a small number of stocks. AI beneficiaries alone have driven 70-75% of the S&P 500’s return this year, rising to around 80-85% once the broader information technology sector is included. For diversified active managers, this creates a particularly challenging environment, as a shrinking number of stocks account for an ever-larger share of market returns.
 
Graph 4: Percentage of S&P 500 companies outperforming the index
 

Source: Jefferies, FactSet, as at March 2026.

Elevated valuation dispersion

Narrow breadth has been accompanied by extreme valuation dispersion. Valuation dispersion is the gap between the valuations investors are willing to assign to the market’s most favoured stocks and those assigned to its least favoured. That gap now stands among the widest on record. A small number of stocks are priced as though nothing can go wrong, while a large number are valued as though they have little future.

The same forces driving narrow breadth are at work here. Perceived AI winners continue to rerate higher, while perceived losers become progressively cheaper. There is always a risk in buying the laggards too early. However, the opportunity is equally clear. Valuation dispersion at these levels has historically created favourable environments for active managers, as gaps of this magnitude have tended to narrow over time.

Graph 5: Valuation dispersion between the blended forward P/E ratios of MSCI World stocks in the 20th and 80th percentiles

Source: Fairtree, Bloomberg, as at July 2026.
 

Dislocation between semiconductors and software

The clearest example of this dispersion is the gap that has opened between semiconductors and software. The Semiconductor GICS 2 Index outperformed the Software & Services Index by approximately 290% from the start of 2024 to the end of June 2026. Over the long run, software has outperformed semiconductors, as a greater share of value is typically captured the closer you are to the end consumer. The two sectors are normally highly correlated, but that relationship has broken down as capital has rotated towards the hardware businesses perceived to be the primary beneficiaries of AI. This also happened around the dot-com bubble when semiconductors outperformed software by 120% over the first eight months of 2000.

Graph 6: S&P 500 Semiconductors & Semiconductor Equipment vs S&P 500 Software & Services: rolling 12-month sector returns (USD)

Source: Fairtree, Bloomberg, as at July 2026.

This derating reflects a broader market debate, sometimes referred to as the “AI scare trade”, about whether AI will erode the value of established software businesses as customers increasingly build their own tools. In our view, this overlooks the real sources of value creation in enterprise software.

Enterprise software is deeply embedded in customer workflows and must be integrated, secure, reliable and continuously maintained. While a small business may be able to build a basic internal tool, a large enterprise operating with decades of embedded data, supplier integrations and institutional knowledge faces a very different reality. Replacing a core system is often costly and risky, and can take years to execute successfully.

The question is not whether AI can write code, but whether it can replace decades of accumulated expertise embedded within enterprise software and infrastructure. Used effectively, AI may, in fact, strengthen many software businesses by accelerating product development, enhancing functionality and improving customer outcomes, ultimately supporting retention rather than threatening it.

Yet the market is telling a very different story. While software share prices have derated sharply, the underlying fundamentals have remained resilient. Earnings have continued to grow even as valuations have compressed significantly, creating an increasingly wide disconnect between share prices and business performance.

Graph 7: Software companies’ price-to-earnings multiples: five-year average vs 12-month forward P/E

Source: Fairtree, Bloomberg, as at July 2026.

Looking ahead

The current environment remains challenging for active investors. Momentum continues to dominate, market leadership is unusually narrow, and valuation gaps have widened significantly. Yet it is often these periods of dislocation that create the most compelling opportunities.

History suggests that extremes rarely persist indefinitely. While the timing of any shift is impossible to predict, periods of sharp rotation and valuation compression have historically created fertile ground for patient, fundamentally driven investors.

We remain anchored to our core principles of value, sustainable future cash flow growth and quality. As a result, we believe the dispersion and volatility we see today are creating opportunities that should benefit long-term investors.

Author

Karena Naidu

Karena joined Fairtree in 2024 as a Global Investment Specialist in the Investment team. She began her investment career in 2019 as an Investment Professional at Investec Asset Management, followed by a role as an equity analyst at Denker Capital. In 2021, she joined PSG Asset Management as an equity analyst, gaining further experience in equity markets and financial modelling. Karena holds a Bachelor of Science degree in Mathematical Sciences from the University of Johannesburg.

 

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