ten years of returns in three year windows
- Annual returns (%)
- 18.2, -4.5, 22.1, 9.8, 31.4, -8.7, 14.2, 11.9, 25.3, 2.1
- Rolling window
- 3
Average rolling return12.04%
10 returns gives 8 three-year windows
Open this exampleRolling returns across every window rather than a single point-to-point figure. Point-to-point returns depend entirely on the start date, and rolling returns remove that dependence.
Also called: rolling return analysis, return consistency.
12.04% average across 8 rolling 3 year windows, ranging from 5.27% to 20.77%. The spread of 15.5 points means the starting date mattered considerably. A single point-to-point figure would have shown only one of these.
An estimate, not an offer or a guarantee. Projected returns assume the rate you entered holds for the whole term, which no market does.
This is what the calculation gives for the numbers you entered. It is an estimate, not advice, and it knows nothing about your situation beyond those numbers. Rules for India change on a published schedule; the effective date is shown on every rule-based tool.
A point-to-point return measures one start and one end, so it inherits whatever happened to be true on those two days. Rolling returns compute the same window starting at every available point and report the distribution. The spread between the best and worst window is the useful output: a fund with an attractive headline return and a very wide spread was lucky about its dates, and the share of windows that lost money says more than the average does.
every possible starting point, rather than the single one a point-to-point return picksEach of these is asserted on every build. If a change to the engine ever moved one of these answers, the build would fail before the page could print it.
Average rolling return12.04%
10 returns gives 8 three-year windows
Open this exampleAverage rolling return20%
boundary
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