Maximum Drawdown
Maximum drawdown (MDD) is the largest fall in an investment's value from a peak to its lowest point before it recovers to a new high. It answers a very practical question: if you had invested at the worst possible moment, how much would you have been down at the bottom?
Formula: Maximum Drawdown = (Trough Value − Peak Value) ÷ Peak Value. If a portfolio grows to ₹15 lakh and then falls to ₹9 lakh, the drawdown is (9 − 15) ÷ 15 = −40%.
Why drawdown matters more than people expect
Most return figures show where an investment ended up. Drawdown shows what you had to sit through to get there. For many investors, the pain of a deep fall, not the long-term average, decides whether they stay invested or sell at the bottom.
Losses are also harder to recover from than they look, because the recovery has to happen on a smaller base:
| Fall from peak | Gain needed to get back to the peak |
|---|---|
| −10% | +11.1% |
| −20% | +25% |
| −30% | +42.9% |
| −40% | +66.7% |
| −50% | +100% |
| −60% | +150% |
A 50% fall needs a 100% gain just to break even. This is why limiting deep drawdowns often matters more to long-term wealth than squeezing out a slightly higher return.
Drawdowns in Indian markets
The Nifty 50 fell roughly 60% from its January 2008 high to its October 2008 low, and took close to three years to get back to that high.
The Nifty 50 fell about 38% between mid-January and late March 2020. The recovery was unusually fast, with the index back above its previous high by November 2020.
Even broad, diversified equity indices have seen falls of 35% to 60%. Small-cap and sector funds have historically fallen further. Any equity allocation should assume a drawdown of this size will happen again.
Related measures
- Drawdown duration: How long the investment stayed below its previous peak. A 30% fall that recovers in six months feels very different from one that takes four years.
- Recovery period: The time from the trough back to the old peak.
- Calmar ratio: Annualised return divided by maximum drawdown. It shows how much return an investment earned for the worst fall it put you through.
- Standard deviation: Measures typical swings. Standard deviation describes normal bumpiness, while drawdown captures the worst case.
Worst-case fall
Shows the deepest loss an investor in that fund or index has actually experienced.
Recovery maths
Bigger falls need disproportionately bigger gains to recover, so depth matters.
Behaviour test
Ask yourself honestly whether you would have held on through that fall.
How to use maximum drawdown in planning
- Before investing, look at the worst historical drawdown of the fund or index and translate it into rupees. A 40% fall on a ₹50 lakh portfolio is ₹20 lakh on paper.
- Size your equity exposure so that a repeat of the worst drawdown would not force you to sell or derail a goal. This is the heart of asset allocation.
- Keep money needed in the next three years out of assets with deep drawdown histories, and hold an emergency fund so you never sell at the bottom.
- In retirement, drawdowns early in the withdrawal phase do the most damage. Strategies such as the bucket strategy keep near-term withdrawals in safer assets.
- Use rebalancing to stop a rally from quietly increasing your exposure to the next fall.
Frequently asked questions
What is a good maximum drawdown?
It depends on the asset. Broad equity indices in India have seen drawdowns of 35% to 60% in major crashes, while short-term debt funds usually fall far less. A good drawdown is one you could live through without selling, given your goals and time horizon.
Is maximum drawdown the same as volatility?
No. Volatility, often measured by standard deviation, describes how much returns typically swing. Maximum drawdown measures the single deepest fall from a peak. Two funds with similar volatility can have very different worst-case falls.
How do I find a fund's maximum drawdown?
Some fund factsheets and most research platforms show maximum drawdown over a chosen period. You can also work it out from historical NAVs by finding the largest percentage fall from any peak to the lowest point that followed.
Why does a 50% loss need a 100% gain to recover?
Because the recovery starts from a smaller amount. If ₹100 falls to ₹50, it has to double to return to ₹100.