Total Return Forecasts: Major Asset Classes | 2 June 2026

Key Takeaways

• GMI forecast climbs to 7.6% annualized total return
• Forecast remains below GMI's 10‑year realized 10.1% return
• One‑third of asset classes expected to underperform past decade
• Models used: Building Block, Equilibrium, Adjusted, averaged for estimate
• GMI serves as benchmark for infinite‑horizon, passive portfolio design

Pulse Analysis

The Global Market Index (GMI) aggregates the world’s major asset classes—equities, bonds, commodities and real assets—through ETF proxies, offering a single, market‑value weighted benchmark for the "optimal" infinite‑horizon portfolio. Its latest long‑run outlook, calculated as the average of three distinct models, nudged up to 7.6% annualized total return for 2026. The Building Block model leans on historical risk premiums, the Equilibrium model reverse‑engineers returns from expected market risk, and the Adjusted model tempers those forecasts with short‑term momentum and long‑term mean‑reversion signals. By blending these approaches, the GMI estimate aims to smooth out the volatility inherent in individual asset‑class forecasts.

While 7.6% marks a modest improvement over the prior month, it still lags the index’s ten‑year realized return of 10.1%, suggesting that risk premiums may be compressing across the board. For institutional investors and wealth managers, this gap signals a need to recalibrate expected returns when constructing strategic asset allocations, especially for clients relying on historical averages to set return targets. The fact that roughly a third of the underlying components are projected to underperform their ten‑year track records reinforces the view that future growth may be uneven, prompting a more nuanced tilt toward asset classes that retain stronger forward‑looking prospects.

Practitioners should treat the GMI forecast as a baseline rather than a definitive prediction. Its aggregated nature reduces model‑specific errors, but it still depends on assumptions about the risk‑free rate, volatility and correlation that can shift rapidly in a changing macro environment. Investors can layer additional factors—such as inflation expectations, geopolitical risk, or sector‑specific catalysts—onto the GMI framework to tailor portfolios to individual risk tolerances and time horizons. In doing so, they preserve the benchmark’s broad diversification benefits while aligning expected returns with their unique investment objectives.