Rolling Returns: How to Evaluate Investment Performance Across Market Cycles

How to Calculate Rolling Returns

To calculate rolling returns, you start at the beginning of your data series and calculate the return for the desired period length (1 year, 3 years, 5 years, etc.). Then you advance by one month (or one week, or one day) and calculate again. You repeat this for every possible start date in your data. For monthly data over 30 years, you would calculate 360 - (period length in months) + 1 rolling periods. For a 10-year rolling return calculation on 30 years of monthly data: 360 months minus 120 months plus 1 = 241 rolling periods. Each rolling return is annualized to make different period lengths comparable. The result is a time series of overlapping returns that shows how performance evolved over time. When the rolling return line is trending up, recent periods are outperforming older periods. When it is trending down, performance is deteriorating. Statistical measures: mean (average rolling return), median (typical outcome), standard deviation (consistency), minimum and maximum (range of outcomes), and the percentage of positive rolling periods. Using standard deviation with rolling returns →

Rolling Returns by Asset Class

Different asset classes have distinct rolling return profiles that reveal their risk and return characteristics. US large-cap stocks (S&P 500): 10-year rolling returns average 11% with a standard deviation of 5% and a range from -3% to +20%. About 5% of 10-year rolling periods are negative. US small-cap stocks: 10-year rolling returns average 12% but with a higher standard deviation of 8% and range from -6% to +25%. More negative periods and more extreme positive periods. Long-term US Treasury bonds: 10-year rolling returns average 5% with standard deviation of 10%. The range is wide: from -3% to +18%. Bond rolling returns are heavily influenced by the starting yield — when starting yields are high, future rolling returns tend to be high, and vice versa. International developed stocks: 10-year rolling returns average 8% with standard deviation of 6%. Emerging market stocks: 10-year rolling returns average 9% with standard deviation of 10%. A 60/40 portfolio: 10-year rolling returns average 9% with standard deviation of 3%, showing the diversification benefit of mixing asset classes. The narrower distribution and higher probability of positive outcomes is why balanced portfolios are recommended for most investors. The three-fund portfolio approach →

Using Rolling Returns for Strategy Evaluation

Rolling returns are the most rigorous way to evaluate investment strategies because they test performance across multiple market regimes. When evaluating a fund manager, compare their rolling 3-year returns against the benchmark's rolling 3-year returns. How often does the manager beat the benchmark across all rolling periods? A manager who beats the benchmark in 70% of rolling 3-year periods is demonstrating genuine skill. A manager who beats in only 55% of periods may be lucky. For factor investing strategies (value, momentum, size), rolling returns reveal periods of underperformance that test investor patience. The value factor underperformed growth for the entire decade from 2010 to 2020 — a rolling return analysis shows that value's 10-year rolling return was negative relative to growth for the first time in history. Investors who abandoned value in 2019 missed the recovery in 2021-2023. Rolling returns help you distinguish between a broken strategy and a strategy in a temporary drawdown. Factor investing explained →

What is a good rolling return for a diversified portfolio?

A good 10-year rolling return for a diversified portfolio depends on the asset allocation. For a 60/40 portfolio (60% stocks, 40% bonds), the historical average is about 9% annualized. A rolling 10-year return above 12% is excellent (top 25% of outcomes), while below 6% is poor (bottom 25%). For a 100% equity portfolio, a good 10-year rolling return is above 12% annualized, the historical average is about 10-11%, and below 7% is concerning. For a conservative 40/60 portfolio, a good 10-year rolling return is above 7%, average is about 6-7%, and below 4% is poor. The key insight is that rolling returns regress toward the mean over longer periods. A 10-year rolling return far above the historical average is likely to be followed by lower returns in the next 10-year period, and vice versa. Anchoring your expectations to the historical distribution of rolling returns helps avoid both excessive optimism and excessive pessimism.

How do rolling returns relate to sequence of returns risk?

Sequence of returns risk is the danger of experiencing poor investment returns early in retirement when you are withdrawing funds. Rolling returns analysis shows that the variability of 5-year rolling returns is much higher than the variability of 10-year or 15-year rolling returns. A retiree who depends on 5-year rolling returns faces a much wider range of possible outcomes than one whose planning horizon is 15 years. The worst 5-year rolling return for the S&P 500 was about -12% annualized (ending 2009), which would have devastated a retiree withdrawing 4% annually. The worst 10-year rolling return was only -3% annualized. Rolling returns analysis reveals that the sequence risk decreases as the measurement period lengthens because the returns regress toward the mean. This is why retirement planning models use rolling returns to stress-test withdrawal strategies across historical sequences. Understanding sequence of returns risk →

What is the difference between rolling returns and rolling Sharpe ratio?

Rolling returns measure performance over rolling periods. Rolling Sharpe ratio measures risk-adjusted performance over rolling periods by dividing the excess rolling return by the rolling standard deviation. The rolling Sharpe ratio reveals whether returns are being earned efficiently — a strategy with high rolling returns but even higher rolling volatility will have a low rolling Sharpe ratio. When evaluating a fund or strategy, the rolling Sharpe ratio is often more informative than rolling returns alone because it adjusts for the amount of risk taken. For example, a 3x leveraged ETF may have high rolling returns during bull markets but a low rolling Sharpe ratio due to extreme volatility. A strategy with a consistently high rolling Sharpe ratio (above 0.5) is preferable to one with high but volatile rolling returns. Rolling Sharpe ratios are used by institutional investors and hedge fund allocators as a primary screening metric. Sharpe ratio in detail →

How often should I check rolling returns for my portfolio?

Rolling returns are best evaluated on an annual or semi-annual basis rather than monthly or quarterly. The noise in short-term returns makes frequent analysis counterproductive — checking rolling 1-year returns monthly will show enormous variability and may trigger unnecessary emotional reactions. Rolling 3-year and 5-year returns are useful to track annually to see if your portfolio is on track relative to your long-term goals. Rolling 10-year returns are the gold standard for evaluating whether your investment strategy is working, but they change so slowly that annual evaluation is sufficient. For most investors, a simple annual check of rolling 3-year and 5-year returns against your target allocation's historical distribution is enough. If your rolling returns are consistently in the bottom quartile of historical outcomes, it may signal a need to re-evaluate your strategy or asset allocation. Portfolio rebalancing schedule →

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