Which liquidity-adjusted performance measures best compare hedge fund returns?

Hedge fund returns must be compared on a liquidity-aware basis because raw performance masks costs and risks that become acute during market stress. Empirical finance provides several complementary measures that together produce credible, actionable comparisons for investors and allocators.

Liquidity-sensitive performance metrics

The Amihud illiquidity measure developed by Yakov Amihud at New York University captures average price impact per unit of volume and is useful for cross-sectional comparisons of how much trading moves prices. The Pastor-Stambaugh liquidity beta introduced by Lubos Pastor at the University of Chicago and Robert Stambaugh at the University of Pennsylvania quantifies sensitivity of asset returns to aggregate liquidity shocks, which matters for funds exposed to market-wide liquidity cycles. The Acharya-Pedersen liquidity-adjusted capital asset pricing model constructed by Viral Acharya at New York University and Lasse Pedersen at Copenhagen Business School produces liquidity-adjusted expected returns and alphas, allowing investors to separate manager skill from compensation for bearing liquidity risk. Hedge fund return series are often serially correlated because of illiquid holdings and stale pricing, a problem addressed in work by Andrew W. Lo at MIT Sloan with coauthors who model serial correlation and illiquidity to avoid overstating performance.

Practical implications and trade-offs

Using these measures in combination yields a more complete view. The Amihud metric reports microstructure cost intensity at the instrument level and is especially relevant for funds trading small-cap or emerging market securities where market depth is limited. The Pastor-Stambaugh liquidity beta reveals exposure to systemic liquidity droughts that can produce sudden funding stress for leveraged funds. The Acharya-Pedersen framework attributes returns to expected compensation for carrying liquidity risk, which has immediate consequences for fee negotiation and allocation sizing. Adjusting for serial correlation prevents overstated Sharpe ratios and hidden tail risk.

Liquidity-adjusted comparisons matter culturally and territorially because liquidity regimes differ by market structure, investor base, and regulation. Emerging market funds and fixed income strategies typically exhibit higher Amihud values and larger liquidity betas, so naive comparisons with US equity hedge funds mislead. Environmentally driven supply shocks or geopolitical events can suddenly raise liquidity premia, altering the relative attractiveness of previously dominant strategies.

In practice, a robust evaluation combines Amihud illiquidity, Pastor-Stambaugh liquidity beta, the Acharya-Pedersen liquidity-adjusted alpha, and serial correlation adjustments. This multi-measure approach enhances expertise and trustworthiness when allocating capital or benchmarking hedge fund managers under real world liquidity constraints.