Hedge funds: structure, strategies, fees, and their role in institutional portfolios
The term hedge fund is a historical misnomer: the original hedge funds, launched in the late 1940s by Alfred Winslow Jones, did hedge their equity exposure by combining long and short positions. Most contemporary hedge funds no longer hedge in any traditional sense—they are simply private investment vehicles with fewer regulatory constraints than public funds, allowing them to employ strategies that regulated funds cannot. The industry manages approximately $4 trillion in assets globally, concentrated primarily in institutional investors—pension funds, endowments, sovereign wealth funds—and high-net-worth individuals who meet the accredited investor threshold required for access.
Structure and fees
Hedge funds are typically structured as limited partnerships: the fund manager (general partner) charges a management fee and a performance fee on profits. The traditional fee structure is "2 and 20"—a 2 per cent annual management fee on assets under management and a 20 per cent performance fee on profits. Some funds include a high-water mark provision, ensuring that the performance fee is only charged on new profits above the previous peak, preventing the manager from collecting performance fees after recovering from a loss. In practice, fee compression has reduced the average hedge fund fee to approximately "1.4 and 17" across the industry, though top-performing funds maintain premium pricing.
Major strategy categories
Long/short equity: the largest strategy category by assets. Buys equities expected to rise and shorts equities expected to fall, typically maintaining a net long bias (not fully market neutral). Global macro: takes large directional positions in currencies, interest rates, commodities, and equities based on macroeconomic analysis. George Soros and Paul Tudor Jones built their reputations in this category. Event-driven: exploits corporate events—mergers, bankruptcies, restructurings—where the uncertainty about the event outcome creates a mispricing. Includes merger arbitrage and distressed debt. Systematic/quantitative: uses algorithmic models to trade across asset classes, often at high frequency or with sophisticated signal generation. Renaissance Technologies' Medallion fund is the most famous example. Relative value: exploits pricing inefficiencies between related instruments—convertible bond arbitrage, fixed income relative value—typically with very low net market exposure.
Evidence on hedge fund performance
The academic evidence on hedge fund net-of-fee returns is largely unflattering. Studies consistently find that the average hedge fund, after fees, underperforms a simple passive equity/bond portfolio on a risk-adjusted basis. Survivorship bias in hedge fund databases inflates apparent performance: funds that close (generally because they lost money) are removed from the index, leaving only survivors. The dispersion in hedge fund returns is extremely wide: the best funds deliver outstanding risk-adjusted returns; the median fund does not. Access to top funds is constrained—the best managers are closed to new investors—leaving most institutional allocators with a choice between mediocre funds and no allocation at all.
Hedge funds for self-directed investors
Direct access to hedge funds requires meeting the accredited investor or qualified purchaser thresholds (in the US) or equivalent standards in other jurisdictions. Liquid alternatives—mutual funds and ETFs that employ hedge fund-like strategies—provide broader access but typically with weaker performance. The structures designed to replicate hedge fund exposure at retail scale face the same fundamental problem as the underlying strategies: the alpha, if it ever existed, is difficult to sustain at scale and is captured primarily by the manager in fees rather than the investor in returns.
Hedge fund methods in pfolio
pfolio's portfolio construction methodology draws on the same systematic toolkit used by many institutional and hedge-fund strategies—mean-variance optimisation, Hierarchical Risk Parity, and rules-based factor signals applied to a multi-asset universe. The methodology that has historically been the preserve of professional investors is, in pfolio, made available to self-directed investors at retail scale. The full construction methodology is documented at how we build portfolios; portfolio performance and risk metrics are visible in pfolio Insights.
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