Vanguard Capital Markets Model® forecasts

Note that in the chart view, hovering over a forecast range will reveal our median expectation for volatility. It also will show a range of 2 percentage points around the 50th percentile of the distribution of likely returns for equities and a 1-point range around the 50th percentile of likely returns for fixed income. More extreme returns are possible, as shown in the table view. 

We update our forecasts here on a quarterly basis. The forecasts below are as of December 31, 2023.

After weak performance in October 2023, most global equity markets rallied strongly in the last two months of the year. Gains were mostly driven by valuation expansion, leading to lower 10-year outlooks for stocks since our last update. Bond forecasts are also lower after rallies in November and December in anticipation of policy interest rate cuts in 2024.

The asset-return distributions shown here are in nominal terms—meaning they do not account for inflation, taxes, or investment expenses—and represent Vanguard’s views of likely total returns, in U.S. dollar terms, over the next 10 or 30 years; such forecasts are not intended to be extrapolated into short-term outlooks. Vanguard’s forecasts are generated by the Vanguard Capital Markets Model® (VCMM) and reflect the collective perspective of our Investment Strategy Group. Expected returns and median volatility or risk levels—and the uncertainty surrounding them—are among a number of qualitative and quantitative inputs used in Vanguard’s investment methodology and portfolio construction process. Volatility is represented by the standard deviation of returns. 

IMPORTANT: The projections and other information generated by the Vanguard Capital Markets Model regarding the likelihood of various investment outcomes are hypothetical in nature, do not reflect actual investment results, and are not guarantees of future results. VCMM results will vary with each use and over time.

The VCMM projections are based on a statistical analysis of historical data. Future returns may behave differently from the historical patterns captured in the VCMM. More important, the VCMM may be underestimating extreme negative scenarios unobserved in the historical period on which the model estimation is based.

The VCMM is a proprietary financial simulation tool developed and maintained by Vanguard’s Investment Strategy Group. The model forecasts distributions of future returns for a wide array of broad asset classes. Those asset classes include U.S. and international equity markets, several maturities of the U.S. Treasury and corporate fixed income markets, international fixed income markets, U.S. money markets, commodities, and certain alternative investment strategies. The theoretical and empirical foundation for the Vanguard Capital Markets Model is that the returns of various asset classes reflect the compensation investors require for bearing different types of systematic risk (beta). At the core of the model are estimates of the dynamic statistical relationship between risk factors and asset returns, obtained from statistical analysis based on available monthly financial and economic data. Using a system of estimated equations, the model then applies a Monte Carlo simulation method to project the estimated interrelationships among risk factors and asset classes as well as uncertainty and randomness over time. The model generates a large set of simulated outcomes for each asset class over several time horizons. Forecasts are obtained by computing measures of central tendency in these simulations. Results produced by the tool will vary with each use and over time.

The primary value of the VCMM is in its application to analyzing potential investor portfolios. VCMM asset-class forecasts—comprising distributions of expected returns, volatilities, and correlations—are key to the evaluation of potential downside risks, various risk-return trade-offs, and the diversification benefits of various asset classes. Although central tendencies are generated in any return distribution, Vanguard stresses that focusing on the full range of potential outcomes for the assets considered is the most effective way to use VCMM output.

The VCMM seeks to represent the uncertainty in the forecast by generating a wide range of potential outcomes. It is important to recognize that the VCMM does not impose “normality” on the return distributions, but rather is influenced by the so-called fat tails and skewness in the empirical distribution of modeled asset-class returns. Within the range of outcomes, individual experiences can be quite different, underscoring the varied nature of potential investment outcomes. Indeed, this is a key reason why we approach asset-return outlooks in a distributional framework.