Calmar Ratio: Judging a Fund’s Returns Against Its Worst Fall

Two funds can show you the same three-year return and still give you very different sleepless nights. The Calmar ratio is a simple way to put that difference into one number: it takes the annual return a fund or strategy earned and divides it by the deepest fall it suffered along the way. A fund that made 15% a year but once dropped 40% from its peak scores far lower than one that made 15% while never falling more than 10%.

It’s not a ratio you’ll see on every fund factsheet. But once you understand it, you start reading performance tables differently, because it forces one question most return tables quietly skip: how bad did it get before it got good?

What the Calmar ratio actually measures

The idea came from Terry W. Young, who first published it in 1991 in the trade journal Futures, according to Wikipedia’s entry on the Calmar ratio. Young ran a firm called California Managed Accounts, which also put out a newsletter called CMA Reports. The name is just an acronym of those: CALifornia MAnaged accounts Reports. It was built to judge commodity trading advisors and hedge funds, which is why the language around it sounds a little like a futures desk.

Young’s own definition, as Wikipedia quotes it, uses the average annual rate of return for the last 36 months divided by the maximum drawdown over the same 36 months, worked out on a monthly basis. He also called it the “drawdown ratio”. Investopedia’s explainer describes the same thing: average annual return against maximum drawdown over a standard three-year period, updated monthly.

So the formula, in plain words, is:

Calmar ratio = annualised return over the period ÷ maximum drawdown over the same period

Both numbers are percentages, and the drawdown is taken as a positive figure. The result is a plain number. Higher is better: you’re getting more return for each unit of the worst fall you had to sit through.

First, get the drawdown right

Everything in this ratio hangs on the maximum drawdown, so it’s worth being exact about it. Drawdown is the fall from a previous peak to a later low, measured as a percentage of that peak. Maximum drawdown is the biggest such fall in the period you’re looking at.

Take a hypothetical fund whose NAV moves like this over three years: it starts at ₹100, climbs to ₹150, slides to ₹105, then recovers to ₹160 by the end. The fall from ₹150 to ₹105 is ₹45. Divide by the peak of ₹150 and you get 30%. That’s the maximum drawdown, provided no other peak-to-trough fall in those 36 months was deeper.

Two things trip people up here. One, you measure from the peak, not from where you started. The fund never went below its ₹100 starting NAV, yet it still had a 30% drawdown. Two, the trough has to come after the peak. A low that happened before the high doesn’t count against it.

Why care so much about this one number? Because losses and gains aren’t symmetric. After a 30% fall, the fund needs to rise about 42.9% just to get back to its old high (₹105 to ₹150 is a 42.9% climb). After a 12% fall, it needs only about 13.6%. Deep drawdowns don’t just hurt; they eat time.

The Calmar ratio asks the question most return tables skip: how far did this thing fall before it delivered what it’s now showing you?

A worked example with two funds

Let’s put two made-up funds side by side. All the figures below are hypothetical and only there to show the arithmetic.

Fund A looks better on the headline return. Most people scrolling a list of funds would stop there. The Calmar ratio flips the picture: Fund B earned about 1.17 percentage points of annual return for every point of worst-case fall, while Fund A earned 0.60.

Now think about what that meant for an actual investor. Say you’d put ₹5 lakh into each at their peaks. In Fund A, your ₹5 lakh would have shrunk to ₹3.5 lakh at the worst moment. In Fund B, it would have dipped to ₹4.4 lakh. Same market, same three years, but one of those statements would have had a lot more people hitting the redeem button. And investors who sell near the bottom never collect the long-term return the fund later reports.

That’s the practical point of the ratio. It doesn’t tell you which fund will do better next. It tells you how much pain each fund asked for to produce the return it did.

How to read the number

As Wikipedia puts it, a higher Calmar ratio means more annualised return per unit of maximum drawdown, and a lower one means weaker performance relative to the largest peak-to-trough decline in the period. That’s the whole interpretation. There’s no official cut-off for “good” written into the definition, so be careful with rules of thumb you see quoted online.

What we find more useful is comparing like with like:

• Same category. A small-cap fund and a liquid fund live in different worlds. Comparing their Calmar ratios tells you almost nothing you didn’t already know.
• Same dates. The ratio depends heavily on the window. Wikipedia notes that comparisons between funds or strategies are most meaningful when the same start and end dates are used.
• Same return measure. Some tools use compound annual growth, others an average of yearly returns. Check which one, because they can differ, especially over volatile periods.

A ratio of 0.5 in a three-year window that included a sharp market crash might be perfectly respectable. The same 0.5 in a calm, rising market would be a warning sign. The number never stands alone; the period it covers matters as much as the result.

Calmar ratio vs MAR ratio vs Sharpe ratio

The Calmar ratio has a close cousin that causes a lot of confusion. The MAR ratio, popularised by the newsletter Managed Account Reports (founded in 1979 by Leon Rose, per Wikipedia), divides compound annual return since inception by maximum drawdown since inception. People sometimes treat the two as identical, but they aren’t: Calmar uses 36 months of data, while MAR uses the full history. A fund with one terrible year a decade ago will carry that scar forever in its MAR ratio, but it drops out of the Calmar window after three years.

Wikipedia also notes that the Calmar ratio is a modified form of the Sterling ratio, and that later versions add the risk-free rate into the numerator, which makes it look more like a Sharpe-type ratio. So if two websites show different Calmar figures for the same fund, the version they use is the first thing to check.

The Sharpe ratio is the more familiar risk-adjusted measure. It divides excess return by standard deviation, which means it counts all volatility, up and down, as risk. The Sortino ratio narrows that to downside volatility only. Calmar goes narrower still: it looks at a single event, the worst fall.

Investopedia sums up the trade-off well. Using maximum drawdown makes the ratio easier to understand than more abstract risk measures, but it also means the view of risk is limited and ignores general volatility. In practice, we’d use them together. Sharpe and Sortino describe the everyday ride. Calmar tells you about the worst stretch of road.

Sharpe describes the everyday ride. Calmar tells you about the single worst stretch of road, and that’s the stretch that decides whether investors stay.

Where the Calmar ratio can mislead you

We like this ratio, but it has real blind spots.

It hangs on one event. The denominator is a single number from a single bad stretch. A fund that fell 20% once and a fund that fell 19% four separate times in the same window can show similar Calmar ratios, yet the second one was far more stressful to own. If repeated drawdowns bother you more than one big one, the Ulcer Index, which looks at depth and duration of all drawdowns, is a better companion.

It ignores how long recovery took. A 25% drawdown that recovered in three months and one that took two years both count as 25%. For an investor with a goal date, the second is much worse.

Short or lucky windows flatter it. A strategy that hasn’t yet met a bad market can show a tiny drawdown and therefore a huge ratio. A brilliant Calmar ratio from a fund with only a year or two of history, or from a window with no serious correction, says more about the period than the manager.

Rolling windows move. Because the standard window is 36 months, the ratio changes as old months fall out. A fund’s Calmar can jump simply because its worst month from three years ago dropped off, with nothing changing in how the fund is run today.

Using it on your own portfolio

You don’t need a hedge fund database to use the idea. Take the monthly value of your portfolio, or a fund’s month-end NAVs, for the last three years. Find the highest value reached before each low, work out the percentage fall, and keep the biggest. Then work out the annualised return for the same 36 months and divide.

Doing this for your own holdings is a useful reality check. Most of us remember the return we made. Fewer of us remember, honestly, how far the portfolio fell and whether we were comfortable with that. If your portfolio’s maximum drawdown was bigger than the fall you’d be willing to sit through next time, that’s a signal to revisit your asset allocation and position sizing, which we cover in our guide to risk management in trading.

For traders testing a strategy, the same logic applies to the equity curve of a backtest. A system with a modest return and a shallow drawdown is often easier to actually trade than a high-return system that would have cut your capital by half at some point. The second one tends to get abandoned at exactly the wrong time.

The short version

The Calmar ratio divides annualised return by maximum drawdown, traditionally over 36 months. Higher means more reward per unit of worst-case pain. It’s simple, intuitive and good at exposing funds whose returns came with a scary ride. But it rests on one event, ignores recovery time and depends heavily on the dates you pick. Read it next to Sharpe, Sortino and a look at the full drawdown history, and always compare funds over the same window.

Disclaimer: This article is for educational purposes only and is not investment advice. Fund A, Fund B and all NAVs and returns in the examples are hypothetical. Past performance and past risk measures do not guarantee future results. Investments in securities and mutual funds are subject to market risks; do your own research and consult a SEBI-registered adviser before making investment decisions.