LPL Research’s 2026 Strategic Asset Allocation

LPL Research’s Strategic Asset Allocation (SAA) sits at the center of our portfolio construction process because it defines how we expect diversified portfolios to generate more stable long‑term outcomes across shifting market environments. The SAA is the long‑term plan for how major asset classes work together in a portfolio. It sets target weights for stocks, bonds, and diversifiers over a three-to-five-year horizon with the goal of improving risk‑adjusted returns through balance, valuation discipline, and purposeful diversification. We review it annually to reflect meaningful shifts in long‑run drivers like growth, inflation, interest rates, and asset class characteristics. The 2026 update seeks steady compounding by rightsizing equity risk, anchoring in high‑quality fixed income, and preserving sleeves in real assets and select alternatives so portfolios remain resilient across a range of outcomes. In this edition of the Weekly Market Commentary, we highlight some key elements of the 2026 SAA update.

#1: What is Changing in the 2026 SAA?

Our Strategic Asset Allocation is the long‑horizon blueprint that guides portfolios across market cycles. For 2026, we maintain a modest, but slightly reduced, underweight to total equity risk, reduced domestic small caps, increased exposure to developed international and U.S. large value equities, and maintain a purposeful allocation to real assets and select alternative investments. Core high‑quality fixed income remains the anchor. We are measured with longer-duration Treasuries given less stable correlations, which supports a more balanced risk posture at a time when the compensation for taking equity risk is fair but not abundant.

Stock Valuations Are Fair Relative to Bonds, So the Equity Risk Premium Offers Limited Compensation


#2: The Strategy Behind the Strategy

Each year LPL Research updates its Capital Market Assumptions (CMA). These long‑term return, volatility, and correlation assumptions underpin the SAA and serve as the bridge between our multi-year macro outlook and the strategic portfolio weights. The CMA translates outlooks on growth, inflation, and valuations into the disciplined set of portfolio weights in the SAA. We revisit the CMA and SAA annually because long‑term drivers and asset characteristics do evolve, even when our horizon is three to five years.

Over this time horizon, the SAA is built to be durable, not delicate. We blend multiple independent signals in a Black‑Litterman1 framework and validate model outputs against the LPL Research Strategic and Tactical Asset Allocation Committee’s (STAAC) outlook before finalizing weights. This process helps ensure no single viewpoint dominates the allocation and that portfolios reflect a balanced and diversified set of long‑term drivers.

The aim is that each building block must either improve expected returns or reduce expected risk versus our diversified benchmarks. LPL Research evaluates asset classes for sensitivity to many factors, which may influence the expected returns of equities, fixed income, diversifying strategies, and cash over a strategic investment horizon, including economic growth, inflation, interest rates, business cycle, valuations, fundamentals, geopolitical risk, volatility, and dispersion. Higher cross‑asset dispersion increases the value of strategies that can respond to divergent trends

Valuations play a particularly critical role in our strategic framework, as historically they have demonstrated a high correlation with long-term market performance. The price-to-earnings ratio (P/E) for the S&P 500 Index, for example, has shown predictive power for subsequent decade-long returns, with higher P/Es typically preceding weaker long-term performance and lower P/Es often followed by stronger results. This relationship between starting valuations and subsequent returns supports patience and informs how we size risk exposure and tilt across styles within the SAA context.

1 This approach “allows us to generate optimal portfolios that start at a set of neutral weights and then tilt in the direction of the investor’s views”. Black, Fischer, and Robert Litterman. “Global Portfolio Optimization.” Financial Analysts Journal 48, no. 5 (1992): 28–43. www.jstor.org/stable/4479577