Drawdown

Measuring the depth of a fall

A drawdown captures how far an investment has dropped from its highest point to its subsequent lowest point, before it climbs back to a new peak. It is usually expressed as a percentage of the peak value. If a portfolio worth ₹10 lakh falls to ₹6 lakh, the drawdown is 40%.

The maximum drawdown (MDD) is the single largest such peak-to-trough fall over a given period, and it is one of the most useful risk metrics an investor can track, because it answers a deeply human question: how much pain would I have had to sit through?

Why it matters more than volatility

Two mutual funds can show similar long-term returns, yet one may have a much smaller maximum drawdown. The one that fell less in bad times was less risky in the way that actually matters to investors, because deep drawdowns are what trigger panic selling near the bottom.

Indian equities make the point vividly. In the COVID crash of early 2020, the Nifty 50 fell roughly 38-40% from its late-2019 peak to its 23 March 2020 low in just weeks, one of the fastest crashes in its history. Investors who understood drawdowns and stayed invested saw a sharp recovery; those who exited at the trough locked in the loss.

Using it in practice

Drawdown matters because recovering from a deep loss is mathematically harder than the loss itself: a 50% fall requires a 100% gain just to break even. That asymmetry is why limiting drawdowns is central to risk management.

When evaluating an Indian mutual fund or building a portfolio, looking at historical maximum drawdown alongside returns gives a more honest picture than returns alone. A fund's drawdown profile tells you whether you could realistically have held it through a bear market, which is often the difference between long-term success and bailing out at the worst possible moment.