What Vanguard Capital Market Assumptions Actually Tell You (And What They Don't)
Vanguard's capital market assumptions are among the most widely cited long-run return forecasts in institutional investing. For a $5M+ portfolio, understanding how they're built, where they break down, and how they compare to BlackRock and Morningstar projections is the difference between a well-calibrated withdrawal strategy and one that quietly fails over 30 years.
How Vanguard's VCMM Actually Works
The Vanguard Capital Markets Model (VCMM) is a proprietary simulation engine that generates probability distributions of expected returns across major asset classes. It uses current valuation metrics, macroeconomic variables, and market conditions as inputs, not historical averages in isolation.
The key word is distributions. The VCMM does not produce a single-point forecast. It produces a range, with the published figures representing the median outcome. The 25th-to-75th percentile spread is typically plus or minus 4 to 6 percentage points annually. That is a wide band, and most investors who cite "Vanguard's forecast" are quoting only the median while ignoring the full picture.
Robert Shiller's CAPE ratio research, published through NBER, forms a significant part of the theoretical foundation. When current CAPE ratios sit well above historical averages, the model tilts toward lower forward returns for US equities. That is exactly the dynamic driving Vanguard's current US equity projections lower.
The VCMM also incorporates consensus macroeconomic inputs. The New York Fed's Survey of Primary Dealers provides long-run inflation and growth expectations that serve as an independent cross-check on the macro assumptions embedded in Vanguard's model.
What Are Vanguard's Capital Market Assumptions for 2025?
Vanguard's 2025 Economic and Market Outlook places 10-year annualized US equity returns in approximately the 3% to 5% real return range, or roughly 6% to 8% nominal. That is meaningfully below the historical 10% nominal average.
The driver is valuation. Elevated CAPE ratios compress the expected return from price appreciation, leaving dividend yield and earnings growth to carry most of the load.
Non-US developed market equities tell a different story. Vanguard projects 7% to 9% nominal returns for that asset class over the same horizon, reflecting more attractive starting valuations in Europe and Japan. Emerging markets sit in a similar range, with higher dispersion.
US bonds are projected in the 4.5% to 5.5% nominal range, reflecting the higher starting yield environment post-2022.
| Asset Class | Vanguard 2025 (Nominal, 10-yr) | BlackRock 2025 | Morningstar 2025 |
|---|---|---|---|
| US Large-Cap Equities | 6%–8% | ~7.0% | ~6.5% |
| Non-US Developed Equities | 7%–9% | ~8.5% | ~8.0% |
| Emerging Market Equities | 7%–10% | ~9.0% | ~9.5% |
| US Aggregate Bonds | 4.5%–5.5% | ~5.1% | ~4.8% |
| US Inflation | 2.0%–3.0% | ~2.5% | ~2.3% |
Sources: Vanguard Economic and Market Outlook 2025, BlackRock Capital Market Assumptions 2025, Morningstar Capital Market Assumptions 2025. Figures are approximate medians. Ranges reflect published confidence intervals where available.
The directional consensus across all three institutions is consistent: subdued US equity returns, better relative value outside the US, and bonds finally offering a real yield buffer. Where they diverge is on magnitude, and those differences matter at scale.
How Vanguard Capital Market Assumptions Compare to BlackRock and Morningstar
All three institutions use valuation-anchored, mean-reverting frameworks. All three publish 10-year horizons. The methodological differences are real but often overstated in practice.
BlackRock's Capital Market Assumptions, published annually, tend to incorporate more explicit factor tilts and regime-based adjustments. Their framework is more granular on alternatives, which matters for portfolios with private equity or hedge fund allocations. Comparing Vanguard with other asset management leaders is worth doing before anchoring to any single set of projections.
Morningstar's assumptions, available at morningstar.com/lp/capital-market-assumptions, are built on a fair-value framework for equities and a building-block approach for fixed income. Their equity forecasts have historically been slightly more conservative than Vanguard's during bull markets.
The documented limitation across all three: a systematic bias toward mean-reversion anchoring. Research published in the Journal of Financial Planning confirms that institutional CMAs tend to underestimate equity returns during extended bull markets and overestimate them during downturns. This is not a flaw unique to Vanguard. It is structural to any valuation-based forecasting approach.
The practical implication is that you should not use any CMA, including Vanguard's, as a tactical signal. The appropriate use is setting long-run strategic asset allocation policy, not timing entries and exits.
How Capital Market Assumptions Affect Asset Allocation for $5M+ Investors
The standard 60/40 guidance in most retail financial planning is built on historical return assumptions that Vanguard's current projections explicitly challenge. A $5M+ investor cannot afford to ignore that gap.
Consider the withdrawal math. A $5M portfolio with a $200,000 annual draw represents a 4% withdrawal rate. Under historical 10% nominal equity returns, that rate is comfortable. Under Vanguard's 2025 projection of 6% to 8% for US equities, the margin shrinks considerably, especially after inflation and taxes.
Research published in the Journal of Financial Planning demonstrates that CMA inputs materially affect Monte Carlo simulation outcomes and sustainable withdrawal rate calculations over 30-year horizons. The difference between using historical averages versus Vanguard's current projections can shift a "safe" withdrawal rate by 0.5% to 1.0%, which on a $5M base translates to $25,000 to $50,000 per year in sustainable spending capacity.
The right response is not to panic-sell equities. It is to stress-test your plan using the 25th-percentile VCMM scenario, not the median. That is the appropriate framework for a multi-generational wealth preservation mandate, not just a 30-year personal retirement horizon.
Asset allocation strategies by age provide a useful starting framework, but at this portfolio size the relevant variable is not age, it is time horizon for each capital tranche and the tax treatment of each account.
Applying Vanguard CMAs to a $5M Portfolio: Pre-Tax vs. After-Tax
This is where the retail-grade CMA discussion ends and the FatFIRE-relevant analysis begins.
Vanguard's published projections are pre-tax. For an investor in the 37% federal bracket plus state income tax, the after-tax ranking of asset classes by expected return differs from the pre-tax ranking. Taxable bonds that look competitive at 5% nominal become significantly less attractive after tax. Municipal bonds, which don't appear in Vanguard's standard CMA tables, often win on an after-tax basis at high marginal rates.
Vanguard's own research on advisor alpha estimates that tax-efficient asset location alone, placing high-expected-return, tax-inefficient assets in tax-deferred accounts and tax-efficient assets in taxable accounts, can add 0.5% to 0.75% in after-tax returns annually. On a $5M portfolio compounded over 30 years, that is not a rounding error.
| Asset Class | Pre-Tax Expected Return | After-Tax Return (37% Fed + 5% State) | Optimal Account Location |
|---|---|---|---|
| US Taxable Bonds | 4.5%–5.5% | ~2.5%–3.1% | Tax-deferred (IRA/401k) |
| REITs | 5.5%–7.0% | ~3.1%–4.0% | Tax-deferred (IRA/401k) |
| Non-US Developed Equities | 7%–9% | ~5.5%–7.1% (LTCG rates) | Taxable (foreign tax credit) |
| US Large-Cap Equities (index) | 6%–8% | ~5.0%–6.7% (LTCG rates) | Taxable (tax-loss harvesting) |
| Municipal Bonds | 3.0%–4.0% | ~3.0%–4.0% (tax-exempt) | Taxable |
Illustrative estimates based on Vanguard 2025 CMAs and approximate tax treatment. Individual results vary based on specific tax situation.
The quantifying the value of professional advice research from Vanguard puts the total advisor alpha figure at approximately 3% annually when behavioral coaching, tax-efficient location, and systematic rebalancing are all applied. The tax location component is the most mechanically reliable piece of that figure.
The Alternatives Blind Spot in Vanguard's Framework
Vanguard's VCMM covers publicly traded asset classes. That is the entire framework. Private equity, private credit, direct real estate, and hedge funds are absent.
For a $5M+ investor, this is a significant structural gap. Allocations to alternatives in the 20% to 40% range are common at this wealth level, and those allocations are invisible to the VCMM. A portfolio construction exercise that relies solely on Vanguard's CMAs will systematically underweight the illiquidity premium and the diversification benefits that alternatives can provide.
Cambridge Associates and Preqin both publish private market return assumptions. Cambridge Associates' long-run private equity return assumptions have historically been in the 12% to 15% gross IRR range, with meaningful dispersion by vintage year and manager selection. Layering those figures alongside Vanguard's public market projections gives a more complete picture.
Alternative strategies for portfolio diversification within Vanguard's own lineup are limited, which is one genuine constraint of anchoring exclusively to their framework. This is not a criticism of the VCMM methodology. It is a structural feature of what Vanguard covers and does not cover.
Using Vanguard CMAs to Set a Sustainable Withdrawal Rate on a $5M+ Portfolio
The 4% rule was calibrated on historical return data. Vanguard's 2025 projections are not historical data. They are forward-looking estimates that imply lower real returns than the historical record, particularly for US equities.
Running a Monte Carlo simulation using Vanguard's full return distribution (not just the median) changes the picture materially. Under the 25th-percentile VCMM scenario for a 60/40 portfolio, a 4% withdrawal rate on a $5M portfolio carries a meaningfully higher probability of portfolio depletion over 40 years than the historical backtests suggest.
The practical adjustment options are:
- Reduce the initial withdrawal rate to 3.0%–3.5% and accept a lower spending baseline
- Build in dynamic spending rules that reduce withdrawals in down-sequence years
- Increase international equity allocation to capture the higher projected returns Vanguard assigns to non-US developed markets
- Extend the tax-deferred runway by delaying Social Security and Roth conversions to reduce the after-tax cost of withdrawals
Dynamic spending strategies in retirement can add meaningful resilience to a withdrawal plan without requiring a permanent reduction in baseline spending.
The key point: a $5M portfolio with a $150,000 annual draw (3% rate) and a 50% international equity tilt looks substantially more durable under Vanguard's 2025 projections than a $200,000 draw (4% rate) from a US-heavy 60/40 portfolio. The CMAs are telling you something specific about relative valuations. The question is whether your asset allocation reflects it.
How Accurate Are Vanguard's 10-Year Return Forecasts Historically?
Honest answer: directionally useful, not precisely accurate.
Vanguard's own documentation acknowledges that the VCMM's confidence intervals are wide. The published figures represent medians of distributions, and actual 10-year outcomes have frequently landed outside the 25th-to-75th percentile band. That is not a failure of the model. It reflects the genuine difficulty of forecasting over a decade.
The documented systematic bias across institutional CMAs, including Vanguard's, is mean-reversion anchoring. During extended bull markets, valuation-based models consistently underestimate returns because valuations can remain elevated longer than models expect. During bear markets, the reverse occurs. This pattern is well-documented in the Journal of Financial Planning research on CMA accuracy.
The appropriate calibration is to treat Vanguard's projections as a prior, not a prediction. They tell you something real about starting conditions and long-run expected value. They do not tell you what will happen in any specific 10-year window.
Data-driven quantitative investment approaches can supplement the VCMM framework with factor-based signals that are more responsive to near-term market conditions, though at the cost of higher turnover and potential tax drag.
Concentrated Positions and the CMA Trap
One place where Vanguard's capital market assumptions create a specific risk for high-net-worth investors: concentrated equity positions.
If you hold $3M of a single stock with a $500K cost basis and Vanguard's CMAs suggest US equities are overvalued, the CMA is not telling you to sell. Using CMAs as a tactical de-risking signal for a concentrated position would trigger a large capital gains event based on a model that has documented mean-reversion bias and wide confidence intervals. That is a bad trade.
The appropriate use of CMAs for concentrated position management is to inform the long-run diversification timeline, not the timing of any specific sale. If Vanguard's 10-year projections suggest lower US equity returns, that supports a gradual diversification strategy (exchange funds, charitable vehicles, systematic harvesting) rather than an immediate liquidation.
Low-volatility investment options can serve as a partial hedge during a multi-year diversification program, reducing beta exposure without triggering a full realization event. The tax planning around concentrated positions is where the CMA framework intersects most directly with the specific challenges of a $5M+ balance sheet.
Rebalancing Frequency and the Role of Volatility Estimates
Vanguard's CMAs include volatility and correlation estimates alongside expected returns. These are underused by most investors who focus exclusively on the return projections.
The volatility estimates inform rebalancing thresholds. If Vanguard's model assigns higher volatility to emerging market equities than to US large-cap, a portfolio with a 10% EM allocation will drift more frequently and require more active rebalancing to maintain target weights. That has tax implications in a taxable account.
A practical framework: use Vanguard's volatility estimates to set rebalancing bands rather than calendar-based triggers. An asset class with projected annualized volatility above 20% warrants a tighter band (plus or minus 3% from target) than one with 10% projected volatility (plus or minus 5% from target). This approach reduces unnecessary turnover while keeping the portfolio within its intended risk profile.
ETFs versus mutual funds matters here too. In a taxable account, ETF structures reduce the tax drag from rebalancing through in-kind redemptions. For a $5M+ taxable account, the choice of vehicle affects the after-tax cost of maintaining a CMA-informed allocation over time.
Stable value fund performance analysis is worth examining for the fixed-income sleeve of a tax-deferred account, particularly if Vanguard's bond return projections are modest relative to the capital preservation mandate of that tranche.
A Framework for Using Vanguard CMAs at Scale
Pulling this together into a practical framework for a $5M+ portfolio:
Step 1: Separate your capital into tranches by time horizon. Spending capital for the next 5 years should not be allocated based on 10-year CMAs. CMAs are relevant for the long-duration tranche only.
Step 2: Use the 25th-percentile scenario, not the median, for stress-testing. The median VCMM outcome is not your planning assumption. It is the midpoint of a wide distribution. Stress-test your withdrawal rate and asset allocation against the downside scenario.
Step 3: Adjust for after-tax returns by account type. Vanguard's published figures are pre-tax. Model the after-tax expected return for each asset class in each account location before making allocation decisions.
Step 4: Layer in private market assumptions. Cambridge Associates and Preqin provide private equity and private credit return estimates that fill the gap Vanguard's VCMM leaves open. A complete CMA framework for a $5M+ portfolio requires both.
Step 5: Do not use CMAs for tactical decisions. Rebalancing back to policy weights is appropriate. Shifting strategic allocation based on short-term CMA updates is not. The documented mean-reversion bias in institutional forecasts makes tactical CMA-driven moves unreliable.
Annuity options for retirement income deserve consideration within this framework if the base withdrawal rate stress-test reveals material sequence-of-returns risk. A partial annuitization strategy can floor the essential spending tranche and allow the remaining portfolio to run a higher-risk allocation without threatening the lifestyle baseline.
References
- Vanguard -- "Vanguard Economic and Market Outlook" (2025)
- Vanguard -- "Vanguard Capital Markets Model (VCMM) Methodology Documentation" (2024)
- BlackRock -- "BlackRock Capital Market Assumptions" (2025)
- Morningstar -- "Morningstar Capital Market Assumptions" (2025)
- Journal of Financial Planning -- "The Role of Capital Market Assumptions in Financial Planning" (2023)
- Federal Reserve Bank of New York -- "Survey of Primary Dealers: Long-Run Economic Projections" (2025)
- NBER / Shiller, R.J. -- "Irrational Exuberance and CAPE-Based Return Forecasting" (2015)
- Vanguard -- "Putting a Value on Your Value: Quantifying Vanguard Advisor's Alpha" (2022)