Why CAGR Alone Can Deceive You
When investors compare mutual funds, almost everyone looks at one number: CAGR — the annual return percentage. "Fund A gave 18% in 5 years." "Fund B gave 24%." Decision made. Fund B it is.
But here is the problem nobody tells you. Two funds can have the exact same CAGR and feel completely different to actually live through. One fund is a smooth ride. The other is a rollercoaster that makes you want to get off — and most investors do get off, at exactly the wrong time.
Ravi and Priya — Same Fund Return, Different Experience
Ravi invests ₹10 lakh in Fund A. It grows steadily. In bad years it dips 12%, in good years it rises 25%. His statement shows a portfolio going up, with small bumps. He stays invested for 7 years and earns 16% CAGR. His money becomes ₹28.5 lakh.
Priya invests ₹10 lakh in Fund B. It shoots up 55% in the first year, then crashes 48% the next year. Her ₹10 lakh becomes ₹15.5 lakh then falls back to ₹8 lakh. She panics when she sees ₹8 lakh and sells. She locks in a loss.
Fund B's published CAGR over this period was also 16%. But Priya didn't earn 16%. She lost money. Not because the fund was bad — but because the volatility triggered panic that CAGR never warned her about.
This is precisely why Drawdown and Rolling Returns exist. Together, they complete the picture that CAGR leaves unfinished.
Part 1 — Drawdown
What Is Drawdown?
Drawdown means: how much did a fund fall from its highest point before it started recovering?
Think of it like this. You are climbing a hill. You reach 1,000 metres — your highest point. Then you slip and fall to 600 metres before you start climbing again. That fall of 400 metres from your peak is the drawdown.
In a mutual fund, it works the same way — measured in NAV (the fund's price per unit). When the NAV reaches a peak and then falls before recovering, the percentage fall from that peak is the drawdown.
Drawdown (%) = (Peak NAV − Lowest NAV after Peak) ÷ Peak NAV × 100
It answers: "If I was unlucky enough to invest at the absolute peak, how much would I have lost before recovery started?"
A Step-by-Step Example — ₹1 Lakh Invested
Let's follow ₹1 lakh invested in a mid cap fund through a realistic 3-year journey. Watch what the NAV does and what your money looks like at each stage:
If you invested in November 2022 — right at the peak — your ₹1,67,000 became ₹90,000 by August 2023. That is a 46% drawdown. In plain terms: you lost nearly half your money before recovery began.
Now here's the cruel part that most people don't realise until they experience it. Once a fund falls, it needs to gain far more than it lost just to get back to where it was.
The Painful Mathematics of Recovery
This is the most counterintuitive thing in investing — and the most important to understand before you invest a single rupee.
Why? Because percentages are calculated on different base amounts.
Why a 50% Fall Needs a 100% Gain — Not 50%
You invest ₹1,00,000. The fund falls 50%. Your money is now ₹50,000.
Now the fund needs to recover. 50% gain on ₹50,000 = ₹25,000. Total = ₹75,000. Still ₹25,000 short!
To get back to ₹1,00,000 from ₹50,000, you need a 100% gain on the new lower amount.
This is why every percentage you lose on the downside costs you far more on the upside to recover. Protecting against large drawdowns is not just about avoiding pain — it is mathematically essential for wealth building.
Real Data: COVID Crash of 2020
Let's look at what actually happened to Indian investors during the COVID crash. The Nifty 50 peaked on 14 January 2020 and hit its lowest point on 23 March 2020 — a fall of approximately 38% in just 10 weeks.
In real money: if you had ₹10 lakh invested in a small cap fund at the January 2020 peak, your portfolio showed approximately ₹4.5 lakh by 23 March 2020. That is ₹5.5 lakh gone — in 10 weeks.
Now here is the story that separates informed investors from the rest:
Investor A had read about drawdowns. She knew small cap funds historically fell 50–60% in crises. She had mentally prepared for it. She did not look at her portfolio daily. She stayed invested. By December 2020 — just 9 months later — small cap funds had not only recovered but were at new highs. Her ₹10 lakh was ₹14 lakh.
Investor B had never heard of drawdown. Seeing ₹4.5 lakh on his screen, he panicked and sold. He locked in a 55% loss. He sat in a fixed deposit watching from the sidelines as equity markets doubled over the next 18 months. His ₹4.5 lakh became ₹4.95 lakh in the FD. Investor A's ₹10 lakh became ₹18 lakh.
Drawdown is not a risk you can avoid — it is a risk you must understand in advance and decide if you can survive. The investor who stays through the drawdown earns the return. The investor who sells during it locks in the loss. Knowledge of drawdown converts a panic-inducing event into an expected, manageable experience.
Maximum Drawdown — One Number to Know
When you read a fund's risk data, you'll see a metric called Maximum Drawdown. This is simply the worst single drawdown the fund has ever experienced — the biggest fall from any peak to any subsequent trough in its entire history.
Typical maximum drawdown ranges for Indian equity funds, based on the 2008 global financial crisis — the worst crash in recent history:
Large Cap Funds
Mid Cap Funds
Small Cap Funds
Before investing in any fund, ask yourself this one question — in rupees, not percentages:
Take the amount you plan to invest. Apply the fund's maximum drawdown to it. Write down the number.
Example: Investing ₹20 lakh in a small cap fund with 60% max drawdown → worst case = ₹8 lakh on your screen.
Ask yourself: "Can I see ₹8 lakh on my screen and NOT sell?" If yes, you can invest ₹20 lakh. If no, reduce the amount until the worst-case number is something you can genuinely live with. This is not pessimism — it is preparation.
What Good vs Bad Drawdown Looks Like
Not all drawdowns are equal. Two things matter beyond just the size of the fall:
- How quickly did the fund recover? A fund that fell 40% but recovered in 8 months is very different from one that fell 40% and took 3 years to recover. Recovery speed matters enormously.
- Did it fall less than its category peers? If the mid cap category average drawdown was 45% in 2020 and your fund only fell 35%, that is excellent risk management — the manager protected capital during the crisis.
Ideally: smaller drawdown than category average during crises, AND faster recovery than peers. Both together suggest the fund manager is genuinely skilled at risk management — not just riding the market up.
Part 2 — Rolling Returns
What Are Rolling Returns?
Normal return figures — the CAGR percentages you see on fund websites — are calculated from one fixed date to another. Called point-to-point returns, they pick a start date and an end date and calculate the return between exactly those two points.
The problem? That single data point can be highly misleading depending on which dates were chosen. A fund's "5-year return" changes dramatically based on whether you calculate it from a market crash (cheap entry) or a market peak (expensive entry).
Rolling returns solve this completely. Instead of measuring from one fixed date, they measure returns from every single possible date over a long history, then show you the full range of what investors actually experienced.
Rolling returns = Calculate the 3-year return starting from January 1st. Then from January 2nd. Then January 3rd. Every day, for 10–15 years of history. You end up with thousands of 3-year return calculations. You can then see the average, the best, the worst, and how often the fund gave positive returns — regardless of when you invested.
The Cricket Analogy That Makes It Clear
Imagine you want to know how good a batsman really is.
Point-to-point approach: Pick his best innings — "He scored 165 against Australia in Sydney!" He sounds brilliant. But that one game tells you nothing about whether he consistently delivers.
Rolling returns approach: Look at his batting average across every single innings he's ever played — home and away, on good pitches and bad, against easy bowlers and great ones, when his team needed 50 or when they needed 300.
His average across all innings — and how consistent it is — tells you his real quality. Rolling returns do the same for a mutual fund. They strip away luck and timing, leaving only consistency.
How Rolling Returns Are Actually Calculated
Let's say Fund X has 15 years of NAV history (2010 to 2025). To calculate 3-year rolling returns, here is exactly what happens:
Day 1 Calculation
Take NAV on 1 Jan 2010 and NAV on 1 Jan 2013. Calculate the CAGR between them. Result: +17.4%. Record it.
Day 2 Calculation
Take NAV on 2 Jan 2010 and NAV on 2 Jan 2013. CAGR = +17.1%. Record it.
Continue for Every Single Trading Day
Repeat this for every day from January 2010 right through to July 2022 (stopping 3 years before the last date). You end up with ~3,000 separate 3-year CAGR figures.
Analyse the Results
From those ~3,000 numbers, you can find: Average return (typical experience), Worst return (worst case), Best return (best case), and % of positive periods (how reliable is the fund?).
This comprehensive picture of investor experiences is far more honest than any single point-to-point CAGR figure.
What Rolling Returns Revealed About a "Star" Fund
A mid cap fund showed a 5-year point-to-point CAGR of 26% in December 2021. Investors flooded in, attracted by this number.
But that 5-year window ran from December 2016 to December 2021 — starting just after a correction (cheap entry) and ending at the post-COVID peak (expensive exit). It was the single most favourable 5-year window in the fund's entire history.
The fund's average 5-year rolling return over 12 years of history was 13.2%. The worst 5-year rolling return was +1.8%. The 26% was real — but it was an extreme outlier, not the norm.
Rolling returns would have set honest expectations. Point-to-point returns set false ones.
Rolling Returns vs Point-to-Point Returns — Side by Side
Here's a comparison of two hypothetical funds using both methods — and what each reveals:
| What You're Measuring | Fund A — "Steady Compounder" | Fund B — "Star Performer" |
|---|---|---|
| Point-to-point 5Y CAGR What most people look at |
17% | 24% |
| Average 3Y rolling return What typical investors earned |
15.8% | 12.1% |
| Worst 3Y rolling return The worst case scenario |
−3% | −24% |
| % of positive 3Y periods How often did investors win? |
91% | 63% |
| % of times beat Nifty 50 Consistency against benchmark |
74% | 47% |
| Maximum Drawdown | −28% | −52% |
| Verdict | Consistent, reliable, lower risk | Headline-grabbing, timing-dependent, volatile |
Fund B looks dramatically better if you only see the 5-year point-to-point CAGR (24% vs 17%). But rolling returns tell the true story: Fund A's average investor earned more, lost less in bad periods, got positive returns 91% of the time, and beat the index 74% of the time.
Fund B's 24% was real — but only for investors who happened to invest and exit at exactly the right time. Fund A delivered for investors who invested on any random day.
Using Both Together — A Practical Framework
Now that you understand both concepts, here is a simple four-step framework for evaluating any mutual fund. Use this before putting a single rupee anywhere:
Check Rolling Return Average First
Look at the fund's average 3-year and 5-year rolling return over at least 10 years of history. A good equity fund should average 12%+ on 3-year rolling returns. If this number is much lower than the advertised CAGR, the CAGR was timing-lucky.
Check % of Positive Rolling Periods
A reliable fund should give positive 3-year returns in at least 75–80% of all rolling 3-year periods. If it's below 65%, the fund is heavily timing-dependent — your experience is a coin toss based on when you invest.
Run the Sleep Test on Maximum Drawdown
Take the fund's maximum drawdown %. Apply it to your planned investment in rupees. Write down the worst-case number. If you can genuinely accept seeing that number on your screen, proceed. If not, reduce allocation or choose a less volatile fund.
Only Then Compare CAGRs
After the first three steps, compare CAGR between your shortlisted funds. By now, you have full context — you know whether that CAGR came from consistent compounding or extreme volatility that most investors could not have stayed through.
Quick Reference Checklist
🎯 Before Investing in Any Fund — Check These
- Average 3Y rolling return: Ideally 12%+ for equity over 10-year history
- % positive 3Y rolling periods: 75%+ is good; 90%+ is excellent
- Worst 3Y rolling return: Know the worst case; is it acceptable to you?
- Maximum drawdown in rupees: Calculate your personal worst case — can you stay invested?
- Drawdown recovery time: How long did the worst recovery take — months or years?
- Drawdown vs category: Did the fund fall less than peers in crises? If yes, good risk management.
- CAGR: Only use this as a final comparison after all the above filters
Final Summary — What to Remember Always
These two concepts can be boiled down to two simple questions every investor should ask before investing:
"How much pain will I feel on the way to my returns — and can I survive it without selling?"
A fund with 22% CAGR but 60% drawdowns is not better than a fund with 16% CAGR and 30% drawdowns — because most investors will sell during the 60% drawdown and never earn that 22%. The return you get is the return you stay for.
"Will this fund perform well no matter when I invest — or only if I time it perfectly?"
A high point-to-point CAGR can be an accident of favourable dates. A high average rolling return over 10–15 years of history is genuine, repeatable skill. Always check rolling returns before trusting any CAGR headline.
Together, these two tools make you an informed, confident investor — one who invests with eyes open, stays through the difficult periods, and ultimately earns the long-term returns that equity offers.
The investors who understand drawdown and rolling returns are the ones who don't panic in March 2020 — and double their money by December 2020.