Portfolio considerations
June 30, 2022
Given the turbulence in recent months across asset classes, the idea of the traditional balanced portfolio, or one based on “strategic asset allocation,” may seem antiquated. It’s tempting to turn to “tactical asset allocation,” striving to take advantage of market trends or economic conditions by actively shifting a portfolio’s allocations. But, if history bears out, investors may be making things worse for themselves by doing so.
There’s a reason why market-timing is difficult. For each tactical move to succeed, investors can’t be right just once. They must be right at least five times:
Not only would investors have to be right on all five points above, they would have to repeat this success for most of their trades to make an impact. And the impact would likely be marginal.
The chart below shows that if investors successfully anticipated economic surprises 100% percent of the time, their annualized return over more than 25 years would only be 0.2 percentage point higher than a traditional balanced portfolio of 60% U.S. stocks and 40% U.S. bonds. An investor who was correct half the time—the equivalent of a coin toss or random chance—would have underperformed the base portfolio. An investor who was correct 75% of the time would have a final balance only $252 greater than the base portfolio.
Past performance is no guarantee of future returns. The performance of an index is not an exact representation of any particular investment, as you cannot invest directly in an index.
Notes: The MSCI USA Index and the Bloomberg U.S. Aggregate Bond Index were used as proxies for U.S. stocks and U.S. bonds. The chart represents the growth of hypothetical portfolios with initial balances of $1,000 as of the start of 1992, growing through August 2018. Significant changes in nonfarm payrolls were used as economic surprises. The hypothetical investors would change the asset allocation to either 80% stocks and 20% bonds in anticipation of a positive economic surprise, or to 40% stocks and 60% bonds in anticipation of a negative surprise. Trading costs were not factored into the scenarios; if they had been, the returns of the tactical portfolios would have been lower.
Source: Vanguard paper Here Today, Gone Tomorrow: The Impact of Economic Surprises on Asset Returns, November 2018. Vanguard calculations using data from the U.S. Bureau of Economic Analysis, the U.S. Bureau of Labor Statistics, Bloomberg, and Refinitiv.
From 1928 through 2021, there were more than 23,300 trading days in the U.S. stock market. Out of those, the 30 best trading days accounted for almost half of the market’s return. Being out of the market at the wrong time is costly. And many of those best trading days were clustered closely with the worst days in the market, making precise timing nearly impossible.
Notes: Returns are based on the daily price return of the S&P 90 Index from January 1928 through March 1957 and the S&P 500 Index thereafter through 2021 as a proxy for the U.S. stock market. The returns do not include reinvested dividends, which would make the figures higher for all bars.
Sources: Vanguard calculations, using data from Macrobond, Inc, as of December 31, 2021.
Past performance is no guarantee of future returns. The performance of an index is not an exact representation of any particular investment, as you cannot invest directly in an index.
Need further proof on how difficult tactical asset allocation is? The chart below shows the distribution of returns over various periods for tactical asset allocation funds versus strategic asset allocation funds (those in the Morningstar categories of Flexible Allocation Funds and Target Risk Funds, respectively).
Source: Vanguard calculations using data from Morningstar, Inc., as of December 31, 2021.
Past performance is no guarantee of future returns.
Despite all the advantages of their professional asset managers—armies of analysts, sophisticated computer models, and other resources beyond those of the average investor—tactical allocation funds had a lower median return and a greater distribution of outcomes (in essence, more risk) than their counterparts with strategic allocations.
While the downturn in both stocks and bonds this year has been painful for investors, there is an upside. Lower market valuations mean that future expected returns are higher.
For those who are still in the accumulation phase of their investing life, this is a bonus, as they are buying securities at a lower price.
IMPORTANT: The projections and other information generated by the Vanguard Capital Markets Model (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. Distribution of return outcomes from VCMM are derived from 10,000 simulations for each modeled asset class. Simulations as of December 31, 2021, and May 31, 2022. Results from the model may vary with each use and over time. For more information, please see the Notes section.
Notes: Returns are based on Monte Carlo simulations using the VCMM as of May 31, 2022, versus the prior year-end. The chart shows the expected 30-year annualized return near the low end of the simulations (5%), near the high end of simulations (95%), and at select percentiles in between. The results were for balanced portfolios with different overall allocations to stocks and bonds. Both asset classes had a mix of U.S. and international securities. The stock allocation was a mix of 60% U.S. and 40% international; the bond allocation was a mix of 70% U.S. and 30% currency-hedged international.
The concept and practice of the balanced portfolio goes back to the 1920s. It’s even older when you read ancient scripts, for example, the Talmudic instruction to divide assets equally into three buckets (land, business, and reserves). Strategic asset allocation has been bolstered by academic research and has outlasted numerous bear markets.
Assuming investors already have a diversified balanced portfolio appropriate for their goals, time horizon, and risk tolerance, the best action may be inaction.
Of course, there is no one-size-fits-all solution. For investors who choose otherwise, Vanguard research indicates that steps such as changing your savings rate or retirement age will likely have more impact on the bottom line over the long run than making changes to a portfolio’s asset allocation.
All investing is subject to risk, including possible loss of principal. Be aware that fluctuations in the financial markets and other factors may cause declines in the value of your account. There is no guarantee that any particular asset allocation or mix of funds will meet your investment objectives or provide you with a given level of income. Diversification does not ensure a profit or protect against a loss. Past performance is no guarantee of future returns.
Investments in bonds are subject to interest rate, credit, and inflation risk.
Investments in stocks or 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 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 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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