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๐Ÿ“ˆ Fund Consistency

Rolling Returns Calculator

See How Consistently Your Investment Performs Across All Time Windows

Rolling returns show CAGR calculated over every possible window within a dataset โ€” revealing if returns are consistent or just lucky timing. The most powerful tool to evaluate mutual fund managers and asset class reliability.

Rolling CAGRNifty 50 HistoryMin / Max / Avg % Positive PeriodsFund ConsistencyBeat Inflation
DATASET:
Rolling Returns Analysis
๐Ÿ“ˆ Annual Returns Data
YearAnnual Return (%)Index Value
๐Ÿ“ˆ Enter annual returns for each year. The calculator computes every N-year rolling CAGR window automatically.
Rolling Returns Summary
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Average Rolling CAGR
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Best Period
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Worst Period
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Median CAGR
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middle value
Std Deviation
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volatility of returns
Consistency Score
Total Windows
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Avg CAGR
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rolling mean
% Positive
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CAGR > 0%
Beat Benchmark
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Rolling CAGR Over Every Window
Rolling CAGR
Average
Benchmark
Distribution of Rolling CAGR Values (Histogram)
๐Ÿ“Š All Rolling Windows โ€” Detailed

What are Rolling Returns?

Rolling returns measure the CAGR of an investment over every possible N-year window within a historical dataset. Instead of looking at a single point-to-point return (which can be cherry-picked to look good or bad), rolling returns show you the distribution of outcomes across all time windows โ€” revealing the true consistency and reliability of an asset's performance.

For example, Nifty 50's 5-year rolling return analysis from 2000โ€“2024 would compute CAGR for the window 2000โ€“2005, then 2001โ€“2006, then 2002โ€“2007, and so on โ€” giving 20 data points. The percentage of those windows that delivered positive returns, or beat 12%, tells you how likely you are to achieve that outcome regardless of when you invested.

Rolling CAGR (Year i to Year i+N) = (Value[i+N] / Value[i])^(1/N) โˆ’ 1

Total Windows = Total Years โˆ’ Rolling Period

% Positive Windows = (Windows with CAGR > 0) / Total Windows ร— 100

Consistency Score = % Windows beating target benchmark

Why Rolling Returns Are Better Than Point-to-Point Returns

AspectPoint-to-Point ReturnRolling Return
Data points1 (cherry-pickable)Many (all windows)
Start date biasHighly dependent on entry dateRemoves entry date bias
Consistency insightNone โ€” just a snapshotFull distribution of outcomes
Fund comparisonLimited โ€” one number per fundCompares consistency, not just avg
Used byRetail investors, adsSebi, research analysts, advisors

Nifty 50 Historical Rolling Return Facts

Rolling WindowAvg CAGRMin CAGRMax CAGR% Positive Periods
1 Year14.2%โˆ’52%+76%~71%
3 Years13.8%โˆ’8%+57%~83%
5 Years13.1%โˆ’2%+47%~89%
7 Years13.5%+1%+41%~100%
10 Years13.9%+4%+32%100%

Frequently Asked Questions

How is rolling return different from trailing return?โ–ผ
Trailing return is a specific point-to-point return: CAGR from exactly N years ago to today. It gives just one number. Rolling return computes N-year CAGR for every possible start date in the dataset โ€” giving you a distribution of outcomes. If a fund's 5-year trailing return is 18%, that might look great, but if 5-year rolling returns across all windows average only 10% with many negative periods, the 18% was just lucky timing. Rolling returns reveal this.
Which rolling window should I use to evaluate a fund?โ–ผ
The choice depends on your investment horizon. For SIP investors with a 5-year+ horizon, 3-year and 5-year rolling returns are most relevant. For long-term equity allocation (10+ years), 7-year and 10-year rolling windows matter most. A fund that consistently delivers positive 5-year rolling returns with low standard deviation is preferable to one with a higher average but wide variance โ€” the latter means your outcome heavily depends on entry timing.
What does a high standard deviation in rolling returns mean?โ–ผ
High standard deviation means returns are inconsistent โ€” timing matters a lot. A fund with 14% avg 3-year rolling return but 12% std dev could give you anywhere from 2% to 26% CAGR depending on when you entered. A fund with 12% avg and only 4% std dev would give you 8%โ€“16% regardless of timing. For goal-based investing, low std deviation (consistency) is often more important than a slightly higher average with high variance.
Why has the Nifty 50 never given negative 10-year rolling returns?โ–ผ
In every 10-year window since the Nifty's inception, it has always delivered positive returns โ€” the worst 10-year CAGR has been around +4%. This is because India's nominal GDP growth (7โ€“10% annually) provides a structural floor for large-cap returns over long periods. Even investors who bought at the 2008 peak saw positive CAGR by 2018. This is the statistical basis for the "Nifty 50 SIP for 10+ years never loses money" claim โ€” though past performance doesn't guarantee future results.
How do I compare two funds using rolling returns?โ–ผ
Enter the annual return series for both funds and compare: (1) Average rolling CAGR โ€” higher is better. (2) % of windows beating benchmark โ€” consistency. (3) Standard deviation โ€” lower means more predictable. (4) Worst period โ€” downside risk. A truly superior fund has higher average, lower std deviation, fewer negative periods, and a better worst-case than its benchmark. If Fund A has slightly lower average but much lower std deviation, many investors prefer Fund A for goal-based planning.