We propose a simple and intuitive measure of the annualized excess return of investments in private equity (PE) funds, as well as in similar vehicles that hold hard-to-values assets. Our ‘Direct Alpha’ method is well-founded in theory and dominates the existing approaches to convert fund lifetime returns into inputs amenable for portfolio-wide optimization. Existing Public Market Equivalent (PME) approaches are either heuristic or involve significant approximation errors. Using real-world PE fund cash flow data, we juxtapose Direct Alpha against nearly all PME methods that have been in broad use.

We estimate unsmoothed private equity net asset values (NAVs) at weekly frequency for individual funds. Using simulations and large samples of buyout and venture funds, we show that our method yields superior estimates of NAVs relative to simple approaches based on extrapolation of reported NAVs. The market beta of an average buyout (venture) fund is around 1.0 (1.4), and the total risk is 33% (40%) per year. The risk-return profile of the funds varies significantly over time and across funds. Risk-taking and reporting quality appear to persist by manager.

We propose and test a framework of private information acquisition and decision timing for asset allocators hiring outside investment managers. Using unique data on due diligence interactions between an institutional allocator and 860 hedge fund managers, we find that the production of private information complements public information. The allocator strategically chooses how much proprietary information to collect, reducing due diligence time by 18 months and improving outcomes. Funds selected by the manager outperform those not selected by 9% over 20 months. The outperformance relates to the allocator learning about fund return-to-scale constraints and manager skill before other investors.