Hedge Funds: Structure Is Becoming Strategy

This insight is provided by Portfolio Management Research (PMR), the leading source of peer-reviewed investment research.

Executive summary

The hedge fund industry is becoming larger, more concentrated and more platform-driven. Capital is moving toward managers with deeper infrastructure, stronger distribution networks, broader technology budgets and more formal risk controls. At the same time, some of the most attractive hedge fund opportunities remain specialized, capacity-constrained and difficult to scale. The result is not a simple victory for size. It raises a more demanding question: which structure is best suited to which strategy?

With Intelligence data underline the scale of the shift. Hedge fund assets managed by Billion Dollar Club firms rose more than 19% year over year to $4.05 trillion by the end of 2025 . The number of managers running at least $1 billion in hedge fund assets increased to 579, while BDC firms represented around 88% of the estimated $4.6 trillion global hedge fund industry.

While these figures make scale impossible to ignore, they do not prove that scale is always the right structure for generating alpha. Does concentration reflect a durable advantage of scale, or do some forms of hedge fund alpha still depend on remaining small, focused and capacity-aware?

The question of fit

Fund structure refers to the legal and operational wrapper; investor channel refers to who the product is built for.

Rather than simply asking whether hedge funds can outperform, allocators must instead ask whether factors such as a fund’s scale, governance, fee design and investor base are suited to the strategy it is trying to execute. It is important to note that a large multi-strategy platform may be well placed to exploit liquid, data-rich, complex opportunities – and a smaller boutique may be a better fit for niche markets where capacity discipline and specialization matter more. Increasingly, structure is a part of strategy.

Structure can mean several things in practice. A Cayman or other offshore fund may suit institutional investors seeking broad investment flexbility. A UCITS or ’40 Act fund may offer more regulated access, often with tighter liquidity, leverage and diversification constraints. A separately managed account can give an allocator more control over transparency, exposures and terms, but may be harder to run at smaller scale. These wrappers influence important factors, such as what the manager can trade, how quickly investors can redeem, how fees are charged, and how much transparency investors receive.

In his paper, “ Governance, Scale, and Boutique Resilience in a Consolidating Hedge Fund Industry ”, published in PMR’s Journal of Portfolio Management, François-Serge Lhabitant argues that large platforms have clear advantages, including regulatory infrastructure, distribution reach, technology investment, institutional risk oversight and the ability to attract portfolio management talent. These advantages help explain why capital has become more concentrated around large multi-strategy firms.

But Lhabitant’s central argument is not that bigger funds are inherently better. Performance depends on the interaction between organizational scale, governance structures, and strategy capacity. The question “How large is the fund?” should be discounted in favor of asking if said fund is operating within its “structural and strategic sweet spot.”

Alpha is unevenly distributed

This distinction is important because hedge fund value is highly uneven. In “ Retail Hedge Funds ”, published in PMR’s Journal of Alternative Investments, Andrew Sinclair and Chuyi Zhang find that retail hedge funds significantly outperform actively managed retail mutual funds, but the result should not be read as a blanket endorsement of hedge funds. On average, both retail and institutional hedge funds generate alpha that is statistically indistinguishable from zero. The more important finding is dispersion. In their sample, 14.3% of retail hedge funds produce statistically significant positive alpha, compared with only 0.03% of actively managed retail mutual funds.

That shifts the due diligence burden. Hedge funds may offer access to skill, but they do not eliminate the need to identify it. Sinclair and Zhang find that retail hedge funds with low systematic risk tend to outperform, while funds with poor past performance tend to continue underperforming. Allocators should distinguish between managers with repeatable skill, returns that mainly compensate for beta or other systematic exposures, and funds where weak performance may compound.

Where hedge funds behave differently

The case for hedge fund skill is strongest when it can be observed in specific trading behavior. Umut Celiker and Gokhan Sonaer provide one such example in their study of the asset growth anomaly, “ How Do Institutional Investors Trade Asset Growth Anomaly? ”, published in PMR’s Journal of Investing. They find that hedge funds respond differently from other institutions once asset growth information becomes public. Before disclosure, hedge funds and non-hedge fund institutions both show demand for high asset growth stocks. After disclosure, hedge funds step back, while other institutions continue to favor them. The authors also find that hedge fund selling among high asset growth firms predicts subsequent underperformance.

Hedge fund edge is often described abstractly. Here, it appears in a concrete form: faster processing of information, willingness to reduce exposure to potentially overvalued firms and the ability to position around a known anomaly. Using lagged hedge fund demand, the authors construct a long-short strategy that buys low asset growth stocks purchased by hedge funds and shorts high asset growth stocks they sold. The strategy earns 1.19% per month, compared with 0.62% for the standard asset growth strategy.

Fees are part of the structure

Trading skill is only one part of hedge fund design. Fees are not just a cost deducted after the fact – they shape investor outcomes.

Lhabitant’s work on performance-based fees shows that open-ended fund structures can create inequitable results when investors enter at different times. In “ Equalization of Performance-Based Fees ”, found in PMR’s Journal of Alternative Investments, he shows that high-water marks, crystallization periods, fund-level fee calculations and multiple share classes can mean that two investors in the same strategy experience different net results. The technical plumbing of performance fees therefore has direct consequences for fairness, transparency, and trust.

The private wealth complication

This issue becomes more important as hedge funds and hedge-fund-like strategies reach more private wealth investors. Sinclair and Zhang find that retail hedge fund investors are highly sensitive to performance – particularly underperformance. However, their allocations do not predict future performance, nor do they appear to be systematically mistaken.

One must ask what private wealth investors expect a hedge fund allocation to achieve. A strategy intended to reduce equity-market exposure may require different characteristics from one intended to enhance returns or provide access to specialist opportunities. Investors therefore need to identify the specific risk or portfolio problem the allocation is meant to address – and revisit that choice as their exposures, objectives and market conditions change.

These considerations cut both ways. Wealth-facing hedge fund products may be viable, but they require clearer communication. Investors need to understand not only past returns, but a long list of additional factors, including liquidity terms, risk exposures, fee allocation, capacity limits and the role the strategy is supposed to play in a portfolio. A strategy built for institutional capital does not automatically translate into a structure suitable for private wealth.

Structure selection is manager selection

A large platform is not automatically superior because it has scale. And a boutique is not automatically better because it is nimble. A performance fee is not automatically aligned because it rewards gains. And a hedge fund is not automatically diversifying because it is alternative. Each claim depends on design.

Allocators therefore need to ask whether the manager’s scale is appropriate for the opportunity set, whether governance supports or constrains the investment process, whether the alpha source is identifiable, whether liquidity terms match the underlying assets, and whether fees are allocated fairly across investors.

In a consolidating market, hedge funds do not need to prove that they are different from traditional funds – after all, that much is obvious. The harder – and more vital – question is whether each fund’s structure is built for the difference it claims to deliver.

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