Drawdown

Drawdown measures the decline from a historical peak in the value of an investment or portfolio to its subsequent trough, before a new peak is reached. Maximum drawdown (MDD) is the largest such decline during a specific period — it represents the worst-case loss scenario an investor experienced.

For example, if a mutual fund's NAV peaked at Rs 500, fell to Rs 350, recovered to Rs 480, fell to Rs 400, and then rose to Rs 550, the maximum drawdown is from Rs 500 to Rs 350 = -30%. Even though the fund eventually recovered and made new highs, an investor who entered at the peak experienced a 30% decline before recovery.

In Indian markets, drawdown analysis is crucial for setting realistic expectations. The Nifty 50 has experienced maximum drawdowns of: -60% (2008 GFC), -38% (March 2020 COVID), -28% (2015-2016 correction), and -18% (2022 rate hike correction). Understanding that a "12% CAGR over 20 years" portfolio can drop 30-60% in a bad year helps investors prepare psychologically and financially for inevitable downturns.

Drawdown is arguably more important than return for portfolio construction. Two portfolios with identical 15% CAGR but different maximum drawdowns (Portfolio A: -20% MDD, Portfolio B: -50% MDD) are not equivalent. Portfolio B requires a 100% recovery to return to its peak from the trough, while Portfolio A needs only 25%. Lower drawdown also reduces the psychological pressure that causes investors to panic-sell at the worst time.

Risk-adjusted metrics incorporating drawdown include the Calmar Ratio (annualised return / maximum drawdown) and the Sterling Ratio. For Indian mutual fund evaluation, comparing maximum drawdowns across similar funds is more revealing than comparing returns alone. A flexi-cap fund with 14% CAGR and 25% max drawdown is likely better managed than one with 16% CAGR and 45% max drawdown. PMS and AIF managers often target maximum drawdowns of 15-20% through active hedging using derivative instruments.