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Rolling Returns Calculator

Rolling 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.

Separate values with commas or spaces.

Average rolling return
12.04%

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.

Best window
20.77%
Worst window
5.27%
Median window
11.18%
Windows measured
8
Share of windows that lost money
0%
On consistency
The spread of 15.5 points means the starting date mattered considerably.

An estimate, not an offer or a guarantee. Projected returns assume the rate you entered holds for the whole term, which no market does.

Method and background

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.

How this is calculated

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 picks
w
Window length

Worked examples

Each 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.

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 example

a one year window is just the returns

Annual returns (%)
10, 20, 30
Rolling window
1

Average rolling return20%

boundary

Open this example

Method and limits

What it assumes

  • Annual returns in chronological order.

What it deliberately does not model

  • A short series gives few windows, and overlapping windows are not independent observations.
  • It measures the fund, not your experience, which depends on when you actually invested.

Formula version 1.0.0 · definition 1.0.0 · India · Report a problem with this calculator

Frequently asked questions

Why are rolling returns better than point to point?
Because point to point depends on two arbitrary dates. Rolling returns ask what would have happened starting at any point, which is the question an investor actually faces.