Our 2026 capital market assumptions (CMAs) are broadly lower across stocks and bonds relative to last year. Valuations in equities appear stretched, as multiples have reached historic highs. Updates to our fixed income expectations varied by sector but are marginally lower in aggregate, as higher expected terminal yields were offset by lower starting yields.
Our CMAs are projected over a 20-year horizon.
Long-term expected returns (%) |
2026 estimates |
2025 estimates |
|---|---|---|
U.S. equity |
6.1 |
6.3 |
Non-U.S. developed markets equity |
5.7 |
6.0 |
Emerging markets equity |
6.5 |
6.8 |
Source: Capital Group. The 2026 estimates as of December 31, 2025, with valuations as of September 30, 2025. The 2025 estimates as of December 31, 2024, with valuations as of September 30, 2024. The long-term expected returns are trailing geometric returns, which are compounded average rates of return over multiple periods.
Long-term expected returns (%) |
2026 estimates |
2025 estimates |
|---|---|---|
Cash (USD) |
3.2 |
3.4 |
U.S. Treasury intermediate term |
4.0 |
4.0 |
U.S. TIPS |
3.8 |
4.1 |
U.S. aggregate |
4.5 |
4.6 |
U.S. corporate |
5.2 |
5.3 |
U.S. high yield |
5.9 |
6.2 |
Emerging markets debt (USD) |
6.6 |
7.0 |
Source: Capital Group. The 2026 estimates as of December 31, 2025, with valuations as of September 30, 2025. The 2025 estimates as of December 31, 2024, with valuations as of September 30, 2024. The long-term expected returns are trailing geometric returns, which are compounded average rates of return over multiple periods.
The three dominant themes of the past year have been trade tensions, policy uncertainty and artificial intelligence (AI). The imposition of large U.S. tariffs has affected growth without derailing the global economy. Meanwhile, technology and associated capital investment in AI have emerged as an opportunity to realize longer term productivity gains, particularly in the U.S.
AI advances could be as a major factor in economic resilience, not only driving growth and investment but potentially offsetting various headwinds, such as inflation and demographics. Several downside risks could limit AI’s potential impact, including implementation challenges, cost overruns, regulatory restrictions, labor market disruptions and cybersecurity issues. But even if reality falls short of current market expectations, AI could still be a major structural driver of productivity and economic growth, especially in the U.S.
We expect average annualized real gross domestic product of 2.4% in the U.S., 3% for emerging markets, 1.3% for the eurozone and U.K, as well as 0.7% for Japan. Relatedly, our inflation assumption remains largely unchanged over the past year and in line with historical ranges. The expectation for steadiness over the coming two decades derives from a combination of a long time horizon, which can smooth shorter term impacts — as well as the presence of significant yet countervailing economic forces.
Source: Capital Group. As of December 31, 2025, with valuations as of September 30, 2025. All assumptions are for market asset classes only and are reviewed at least annually. These figures represent the views of a small group of investment professionals based on their individual research and are approved by the Capital Market Assumptions Oversight Committee. They should not be interpreted as the view of Capital Group as a whole. As Capital Group employs The Capital System™, the views of other individual analysts and portfolio managers may differ from those presented here. They are provided for informational purposes only and are not intended to provide any assurance or promise of actual returns. They reflect long-term projections of asset class returns and are based on the respective benchmark indexes or other proxies and therefore do not include any outperformance gain or loss that may result from active portfolio management. Note that the actual results will be affected by any adjustments to the mix of asset classes. All market forecasts are subject to a wide margin of error.
As of December 31, 2025, with valuations as of September 30, 2025. All assumptions are for market asset classes only and are reviewed at least annually. These figures represent the views of a small group of investment professionals based on their individual research and are approved by the Capital Market Assumptions Oversight Committee. They should not be interpreted as the view of Capital Group as a whole. As Capital Group employs The Capital System™, the views of other individual analysts and portfolio managers may differ from those presented here. They are provided for informational purposes only and are not intended to provide any assurance or promise of actual returns. They reflect long-term projections of asset class returns and are based on the respective benchmark indexes or other proxies and therefore do not include any outperformance gain or loss that may result from active portfolio management. Note that the actual results will be affected by any adjustments to the mix of asset classes. All market forecasts are subject to a wide margin of error.
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We use a building blocks approach for our equity return assumptions as defined by this formula.
Equity return |
Earnings growth |
|
|---|---|---|
-/+ |
Dilution/accretion |
|
+ |
Dividend yield |
|
+ |
Valuation impact |
|
+ |
Currency impact |
|
To arrive at our expected returns for each fixed income asset class, we compute its projected annual return for each year over the investment horizon, which we then geometrically compound before calculating the annualized return for the full period.
Bond return bulding blocks: |
||||
|---|---|---|---|---|
Bond return |
Yield to worst |
|||
+ |
Valuation impact |
|||
+ |
Default losses |
|||
+ |
Currency impact |
|||
Our currency projections are based around long-run currency fair values using both the bilateral and multilateral models. Fair values are determined by a combination of relative inflation and relative productivity differential estimates along with their historical trends. Both models are complementary and ensure that our foreign exchange (FX) projections are in line with the remainder of CMAs.
The expected nominal FX return calculations assume that currencies revert to fair values in the long run. The currency impact for each asset class is calculated based on the underlying currency weights in their respective benchmark proxies.
Each model uses one framework to value all currencies such that the estimates are globally consistent, coherent and easily interpretable. Both models assume that current FX spot rates will gradually converge to their implied fair values. We produce forecasts across 25 currency pairs versus the U.S. dollar. Output from both models is averaged.
Our assumptions about asset class volatilities and correlations are based largely on estimates from the historical return data. Estimating the correlation matrix using purely historical data is subject to estimation error and outliers in the sample data. As a result, we derive our estimates by transforming the sample matrix using a statistical method called shrinkage, which tends to pull the most extreme values toward the center, reducing estimation error.
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Yield to worst (YTW): A measure used to evaluate the lowest potential return a bond can provide an investor.
This analysis represents the views of a small group of investment professionals based on their individual research and are approved by the Capital Market Assumptions Oversight Committee. They should not be interpreted as the view of Capital Group as a whole. As Capital Group employs The Capital System, the views of other individual analysts and portfolio managers may differ from those presented here. They are provided for informational purposes only and are not intended to provide any assurance or promise of actual returns. They reflect long-term projections of asset class returns and are based on the respective benchmark indices, or other proxies, and therefore do not include any outperformance gain or loss that may result from active portfolio management. Note that the actual results will be affected by any adjustments to the mix of asset classes. All market forecasts are subject to a wide margin of error.