Investor Corner/Building and judging a portfolio/Performance Measurement

3.2.4 Maximum Drawdown

Maximum drawdown is the largest peak-to-trough fall an investment has experienced. It measures the worst pain an investor would actually have felt while holding through the toughest stretch in that fund's history.

~7 min read

What the figure captures

If a fund's value rose to a peak and then fell 35% before eventually recovering and rising again, its maximum drawdown for that period is 35%, regardless of how long the recovery ultimately took or how strong the fund's overall long-run return looked once that recovery was complete. It captures depth of pain, not overall long-run outcome.

Maximum drawdown is the largest peak-to-trough decline in portfolio value within a specific period. If a fund's NAV rose to ₹200, then fell to ₹120 before recovering, the maximum drawdown is (200-120)/200 = 40%. It measures the worst loss an investor would have experienced if they invested at the peak and looked at the portfolio at the trough, before recovery.

This metric is more viscerally meaningful than standard deviation or beta because it describes an actual historical worst-case scenario. Standard deviation is an abstract statistical measure; maximum drawdown is the number on your screen during the worst day. An investor evaluating whether they can handle a fund's risk profile should pay as much attention to its maximum drawdown as to its average return.

Why it matters alongside average return

Two funds can show an identical average annual return over ten years while having experienced very different maximum drawdowns along the way. The fund with the smaller drawdown was almost certainly a psychologically easier one to hold through, which matters enormously in practice, since an investor who panics and sells during a large drawdown never actually gets to enjoy the eventual recovery.

For Indian equity, historical maximum drawdowns have been severe. The Nifty 50 fell roughly 60% in 2008-2009, roughly 38% in 2020, and roughly 25-30% in multiple other corrections. Small-cap indices have experienced drawdowns of 60-70%. These are not theoretical extremes; they are recent events within most investors' lifetimes. Any equity allocation should be sized with the expectation that a drawdown of this magnitude will happen again at some unknown future point.

Same destination, very different journeys050100150200Yr0Yr2Yr4Yr6Yr8Larger max drawdownSmaller max drawdown
Illustrative comparison: both paths arrive at a similar long-run destination, but one experienced a considerably deeper fall along the way, which is what maximum drawdown captures.

Using drawdown when choosing a fund

A fund's historical maximum drawdown is a genuinely useful, honest way to ask yourself in advance: could I have actually held through a fall this severe without panicking and selling? If the honest answer is no, that fund's typical volatility may simply be a poor match for your own temperament, regardless of its long-run average return.

How PriLytics helps. PriLytics shows your portfolio's value over time in full, so past drawdowns, and how your own money actually behaved through them, are always visible in your own history. See performance over time.

Maximum drawdown also measures recovery time: how long it took from the trough to regain the prior peak. The 2008 drawdown in the Nifty 50 took roughly 3 years to recover fully. The 2020 drawdown recovered in about 7 months. Recovery time matters because it determines how long an investor must endure the psychological pressure of being below their high-water mark. A 40% drawdown that recovers in 6 months is a very different experience from one that takes 4 years, even though the maximum drawdown number is the same.

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