Over the last five years, the average PE portfolio has not significantly outperformed global equities. Real alpha (600+ bps) is found only in the top and second quartile of managers, making elite manager selection the most critical factor for success.

A neural network trained by PitchBook concluded that much of what PE firms call "operational alpha" can be replicated by systematically selecting companies in favorable sectors (like tech), applying more leverage than public market counterparts, and benefiting from market-wide multiple expansion, rather than superior operational improvements.

When polled, virtually no Limited Partners (LPs) admit to having a median or below-median private equity portfolio. This collective overconfidence is a powerful behavioral bias that sustains demand for the asset class, as everyone believes they can outperform the average even if market returns compress.

Private equity's low reported correlation with public markets is largely an illusion created by smoothed, infrequent valuations ("volatility laundering"). The effect is exaggerated when institutions report private asset returns with a one-quarter lag, creating "accounting diversification" instead of real risk reduction.

Institutional investors use rigid allocation buckets (equity, fixed income, alternatives). Assets that don't fit neatly, like safe but lower-return private equity, lack a natural home. This creates poor capital formation and results in the market's best risk-reward opportunities.

PE's outperformance is not constant. It appears flat when public markets surge over 10% but is most pronounced when public markets are flat or negative. This cyclicality explains the recent negative alpha against soaring public indices.

Despite the allure of high returns, the median private equity fund does not beat public market benchmarks like the S&P 500 after accounting for high fees and illiquidity. Only the top decile or quartile of funds deliver the outperformance that justifies the associated risks and costs, making manager selection paramount.

Investors are drawn to PE's smooth, bond-like volatility reporting. However, the underlying assets are small, highly indebted companies, which are inherently much riskier than public equities. This mismatch between perceived risk (low) and actual risk (high) creates a major portfolio allocation error.

PE returns appear artificially smooth because they are based on infrequent, private valuations. This "volatility laundering" mathematically lowers standard deviation and correlation inputs in asset allocation models. It makes the asset class seem less risky, causing models to systematically over-allocate capital to it based on flawed risk assumptions.