Key Takeaways

  • Public equities trade near the 90th percentile of their historical performance averages, driven by heavy concentration in correlated mega-cap technology and artificial intelligence names.
  • Private equity performance sits around the 25th percentile of historical norms, leaving room for upward mean reversion as liquidity cycles shift.
  • Allocators face a synthetic indexing trap: holding only public equities leaves portfolios exposed to extreme single-sector tech volatility rather than diversified equity risk.
  • Assessing private allocations requires separating the macro asset allocation decision from manager selection through Hamilton Lane's Two-Lens Private Markets Benchmarking Methodology.

The Hamilton Lane's Two-Lens Private Markets Benchmarking Methodology

Pass 1: Public Market Equivalent (PME) Evaluation

We are big believers in a public market equivalent calculation, because if we are talking about a private equity portfolio, it is an equity alternative. For most LPs, if they were not participating in private equity, they would simply have that capital in public equities. Whatever their public equity benchmark, that tends to be the root of a public market equivalency calculation, and you are lining up: make a capital call, buy this public security, and track cash flows across that timeline.

Pass 2: Relative Private Market Opportunity Cost Evaluation

You have to look at performance on a relative basis against other private market options. If we do the first relativity relative to public markets and solve that with the PME, we then move from that into a relative calculation against private peer options. Were you picking the best options relative to the other private assets you could have backed?

When This Works (and When It Doesn't)

This two-pass framework functions best for institutional allocators and family offices managing rolling commitment pacing schedules across multiple vintage years. It isolates two distinct questions: whether illiquidity earned a premium over listed shares, and whether internal selection picked top-quartile managers. By decoupling beta substitution from manager selection, investment committees avoid mistaking public market beta tailwinds for GP skill.

Where the framework hits friction is in periods of extreme index distortion. If the public benchmark's gains are concentrated in five mega-cap tech stocks, the PME hurdle reflects narrow tech momentum rather than general business earnings. A buyout portfolio composed of industrial and healthcare assets will fail a PME comparison during a tech bubble while still outperforming its actual operational peers. Conversely, comparing solely to private peers in Pass 2 can mask persistent industry-wide underperformance if the entire vintage struggles to beat the risk-free rate.

Why It Matters

Hirsch highlights a structural divergence in how institutional capital views public versus private risk. As public indices become tech-heavy synthetic bets, allocators are not abandoning private markets despite slower distributions. They are using private funds to balance out overconcentrated public indices.

This explains why capital continues flowing into private equity funds even while exits remain muted and performance sits at the 25th percentile of historical averages. Allocators recognize that matching public index returns today requires taking concentrated tech risk. Hamilton Lane's framework shows that sophisticated LPs evaluate private equity as both a public equity substitute and an independent asset class, preventing short-term public valuation surges from distorting long-term commitment pacing.