What are Rolling Returns? A Simple Guide for Investors
Rolling returns measure a fund's performance over many overlapping periods, rather than a single start-to-end window. They show how consistent a fund has been across different times. Rolling returns give a fairer view than point-to-point returns, which can be misleading.
A single return figure can flatter or mislead, depending on the dates chosen. Rolling returns fix this by looking at performance across many periods.
The sections below explain it step by step, without the jargon. You can explore mutual funds on Stockk.
Key Takeaways
- Rolling returns use many overlapping periods.
- They show consistency over time.
- They avoid the bias of single start and end dates.
- They give a fairer view than point-to-point returns.
- They help judge how reliable a fund has been.
Why do point-to-point returns mislead?
A point-to-point return measures performance between one start date and one end date. If either date happens to fall at a market high or low, the figure can look unusually good or bad. This makes single-period returns easy to cherry-pick and hard to trust on their own.
Consider a fund shows a stellar three-year return simply because the start date was a market bottom. Rolling returns, by contrast, measure many three-year periods across different start dates, revealing how the fund performed on average, not just once.
How rolling returns work
Rolling returns calculate the return for a chosen period, say three years, starting from many different dates, then look at the distribution. This shows the best, worst and typical outcomes an investor might have experienced, giving a much fuller picture of consistency.
| Return type | What it shows |
|---|---|
| Point-to-point | One start-to-end result |
| Rolling | Many overlapping results |
| Rolling benefit | Consistency and range |
A worked example of rolling returns
A quick example shows the value. Suppose you want the 3-year return of a fund. Instead of one figure, you calculate the 3-year return starting from 1 January 2015, then from 1 February 2015, then 1 March 2015, and so on, right up to the latest possible 3-year window. Say this gives you 60 separate 3-year returns ranging from a low of 4% to a high of 18%, with a typical value near 11%. That range tells you far more than a single 3-year number of 11% would: it shows the worst a patient investor might have seen, the best, and how often the fund landed near its average.
How investors use rolling returns
Rolling returns help you judge how dependable a fund has been, not just how it did in one lucky window. A fund with strong, consistent rolling returns is more trustworthy than one that shone only in a single period. Use them to compare funds fairly and to set realistic expectations.
You can put this into practice with mutual funds on Stockk, backed by Indira Securities. Open your account and use the Knowledge Center for related explainers on fund performance.
Mutual fund investments are subject to market risks. Read all scheme related documents carefully. Past performance is not a guarantee of future returns, and this article is for learning only, not investment advice.
Frequently Asked Questions
How are rolling returns different from point-to-point returns?
Rolling returns use many overlapping periods with different start dates, while point-to-point uses one start and end. Rolling shows consistency, point-to-point can be cherry-picked.
Why are rolling returns fairer?
They avoid the bias of a single lucky or unlucky start and end date, showing the range of outcomes across many periods for a truer picture.
What do rolling returns reveal?
They reveal a fund's consistency, including its best, worst and typical results over the chosen period, helping judge reliability.
Can rolling returns be negative?
Yes, some rolling periods can show negative returns, especially in volatile markets, which is useful for understanding downside risk.
How do I use rolling returns to choose a fund?
Favour funds with strong, consistent rolling returns over cherry-picked single periods.
Investments in securities market are subject to market risks. This article is for educational purposes only and does not constitute investment advice.
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