Rolling investment return, also known as rolling period return, is a method of evaluating investment performance over overlapping periods within a larger timeframe. Instead of simply looking at the total return over, say, a 10-year period, rolling return analysis calculates returns for consecutive shorter periods within that 10-year window, like overlapping 3-year periods.
For example, to analyze a 10-year investment using a 3-year rolling window, you’d calculate the annualized return for years 1-3, then years 2-4, then years 3-5, and so on, until you reach years 8-10. Each calculated return is a data point in the rolling return analysis.
The primary benefit of rolling return analysis lies in its ability to provide a more granular and nuanced understanding of investment performance compared to simple point-to-point returns. It reveals the consistency (or lack thereof) of an investment’s performance over time. A high average return over 10 years might mask periods of significant underperformance, which rolling returns can expose. This allows investors to assess how an investment performs in different market conditions and economic cycles.
Key advantages of using rolling returns include:
- Risk Assessment: Rolling returns highlight periods of volatility or drawdown, helping investors understand the potential risks associated with an investment.
- Benchmarking: Comparing the rolling returns of an investment against a benchmark provides a better sense of its relative performance over different periods. If an investment consistently underperforms its benchmark during specific market phases, it may warrant further investigation.
- Realistic Expectations: By showing the range of potential returns, rolling returns help investors develop more realistic expectations about future performance. They reveal the best-case and worst-case scenarios within a historical context.
- Long-Term Perspective: Rolling returns encourage a long-term perspective by focusing on performance over sustained periods, rather than short-term fluctuations.
However, it’s crucial to remember that rolling returns are based on historical data and do not guarantee future performance. They should be used in conjunction with other investment analysis tools and an understanding of the underlying investment’s characteristics. The choice of the rolling period (e.g., 3 years, 5 years) also influences the results, and different periods may reveal different aspects of performance. Investors should carefully consider which rolling period is most relevant to their investment goals and time horizon. Moreover, like any backward-looking analysis, rolling returns can be impacted by survivorship bias, if the dataset only includes funds that have survived for the entire period under consideration.
In conclusion, rolling investment returns offer a valuable perspective on investment performance by revealing the consistency and variability of returns over time, providing a more comprehensive risk assessment and aiding in the development of realistic investment expectations.