Bonds in a portfolio

The changed anatomy of bond returns

September 05, 2024

The dynamics are simple enough: Interest rates rise, bond prices fall; interest rates fall, bond prices rise. But what happens when you factor in the income that bonds generate? The conditions at the start of an investment matter. And as the charts suggest, initial conditions were far more favorable to bond investors at midyear 2024 than they were at midyear 2021, underscoring Vanguard’s assertion that bonds are back!

An expected boost from bond coupons

A scatterplot showing the 1-year-ahead price and income return projections on June 30, 2021, and June 30, 2024. The plot is divided into three categories based on the relationship between income return and price return: rates fall, positive returns; rates rise but income offsets price losses; and rates rise and price losses are greater than income return. The percentage of occurrences for each category is shown in the legend.

Notes: The charts show the 1-year-ahead price and income return projections from the Vanguard Capital Markets Model® for the Bloomberg U.S. Aggregate Bond Index as of June 30, 2021, and June 30, 2024. The forecasts are sorted by positive price returns (interest rates fall) and two scenarios under negative price returns (interest rates rise): income returns from coupons offset price losses, and income returns do not offset price losses, leading to negative total returns.

Source: Vanguard calculations, based on data from Bloomberg as of June 30, 2021, and June 30, 2024.

Bond yields at midyear 2021 were a paltry 0.25% for the 2-year and 1.45% for the 10-year, compared with midyear 2024 yields of 4.71% for the 2-year and 4.36% for the 10-year. Although it is always difficult to predict short-term outcomes, our simulations as of June 30 of each year showed that the likelihood was much higher in 2024 than in 2021 that interest rates would fall (and bond prices rise). In addition, the likelihood that rates would rise (and bond prices fall) but that income would offset price losses more than doubled in 2024. And as for the prospect of the worst of both worlds—that rates would rise and price losses would be greater than returns from income? It was the most likely outcome in 2021. But in 2024, that scenario was less than 20% as likely to occur as in 2021, our Vanguard Capital Markets Model® (VCMM) projections show.

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In 2024, a greater likelihood of falling rates and beneficial income offsets

A chart showing the probability of three different scenarios occurring over the coming 12 months as of June 30, 2021, and June 30, 2024. Each scenario is represented by a circle, the size of the circle indicating the probability of it occurring. The probability of rates falling and returns being positive are shown as 25% in 2021 and 51% in 2024. The probability of rates rising but income offsetting price losses are shown as 16% in 2021 and 37% in 2024. And the probability of rates rising and price losses being greater than income are shown as 59% in 2021 and 11% in 2024.

Source: Vanguard calculations, based on data from Bloomberg as of June 30, 2021, and June 30, 2024.

“Bonds are back, but the prospect of falling rates isn’t the only reason—yield income is higher, too,” said Ian Kresnak, an investment strategy analyst on the VCMM team. “It's the return to sound money, the broad scenario that we laid out in the Vanguard economic and market outlook for 2024. Bonds always play an essential role in a portfolio because they balance out more volatile equities. With coupon payments higher, as they are now, bonds can also withstand some price declines if rates were to rise.”

IMPORTANT: The projections or 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. Distribution of return outcomes from the VCMM are derived from 10,000 simulations for each modeled asset class. Simulations are as of June 30, 2021, and June 30, 2024. Results from the model may vary with each use and over time. For more information, please see the Notes section. 

Notes: 

All investing is subject to risk, including the possible loss of the money you invest.

Investments in bonds are subject to interest rate, credit, and inflation risk.

Investments and stocks and bonds issued by non-U.S. companies are subject to risks including country/regional risk and currency risk. These risks are especially high in emerging markets. 

IMPORTANT: The projections or 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 Vanguard Capital Markets Model® 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 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 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.

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