Prepared for Utah Higher Education Assistance Authority
Prepared for: Utah Higher Education Assistance Authority
Important information
For more information about Vanguard funds, visit vanguard.com to obtain a prospectus or, if available, a summary prospectus. Investment
objectives, risks, charges, expenses, and other important information about a fund are contained in the prospectus; read and consider it carefully
before investing.
IMPORTANT: The projections or other information generated by the VCMM 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 importantly, 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 primary investment research and advice teams. 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 VCMM 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 from as early as 1960. 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 client 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 future paths. Indeed, this is a key reason why we approach asset-return outlooks in a distributional
framework.
For institutional use only. Not for distribution to retail investors.View entire presentation