Maximum Drawdown
Also written MDD
The largest peak-to-trough fall in a Category III AIF's AUM over a reporting period, quoted as a percentage of the peak — the worst loss an investor could have suffered in that window.
In plain language
Average returns and standard deviation describe how a fund usually behaves. Investors also want to know the worst it has done: if they had come in at the top, how much would they have lost before things turned?
Maximum drawdown (MDD) answers exactly that. The workbook defines it as "the peak-to-trough decline in the Assets under Management (AUM) of a Category III AIF, during a specific reporting period", usually quoted as a percentage of the peak — the highest AUM achieved by the fund in that period.
It measures "the extent of the greatest loss in a portfolio, until a new peak value is created". An investor would ideally like to see zero. In practice the number only means something when it is read against the time period chosen and against what the benchmark did over the same period.
How it works
Computing it.
- Find the peak value — the highest AUM in the reporting period.
- Find the trough value — the lowest AUM reached after that peak, before a new peak.
- Divide the fall by the peak.
The workbook's Example 13 (quarter ending 31 March 2020):
| Peak | Trough | MDD | |
|---|---|---|---|
| Fund PQR (AUM, Rs crore) | 632.33 (14 Feb) | 545.61 (31 Mar) | -13.71% |
| NIFTY50 (index) | 12,430.50 (15 Jan) | 7,610.25 (23 Mar) | -38.78% |
The workbook's conclusion: although -13.71% is high, it is much lower than the benchmark's -38.78%, so even when markets faced downside risk from external factors, the fund's downside risk was lower than the market's.
What it does not tell you. The workbook names two limitations: MDD does not take into consideration how often the portfolio experiences large losses, and it does not indicate the length of time an investor would need to recover the loss.
Where it sits. MDD is one of the risk-adjusted return and performance measures in Chapter 6, alongside the Sharpe ratio, the Treynor ratio and Value at Risk.
The formula
MDD = (Trough Value - Peak Value) / Peak Value
Peak = highest AUM in the reporting period
Trough = lowest AUM after that peak, before a new peak
A worked example
Illustrative figures. Brahmaputra Long-Short Fund, a Category III AIF, reports month-end AUM for the half-year:
| Month-end | Fund AUM (Rs crore) | Benchmark index |
|---|---|---|
| April | 450 | 21,000 |
| May | 480 | 22,000 |
| June | 455 | 20,900 |
| July | 430 | 19,300 |
| August | 402 | 17,600 |
| September | 441 | 19,800 |
Fund MDD = (402 - 480) / 480 = -16.25%
Benchmark MDD = (17,600 - 22,000) / 22,000 = -20.00%
The fund's worst fall was smaller than its benchmark's, which supports the manager's claim that the short book cushioned the decline.
Now Mrs Rao, who invested at the May peak, asks when she will be back to Rs 480 crore of fund value. MDD cannot answer that: it tells her how deep the hole was, not how long the climb out will take — the second limitation the workbook names. Nor does it say whether a 16% fall happens to this fund once a decade or twice a year.
Why NISM asks about it
Chapter 6 (Fees Structure, Fund Performance and Benchmarking) covers maximum drawdown at 6.2.5.3 with the Fund PQR and NIFTY50 example, between the Treynor ratio and Value at Risk. Expect a computation question from peak and trough values, an interpretation question comparing the fund with its benchmark, and a question on the measure's limitations.
Common exam traps
- Trough minus peak, divided by peak — the result is negative. Dividing by the trough is the common slip.
- The trough must come after the peak. A low point before the high point is not a drawdown from that high.
- Read it against the benchmark and the period. -13.71% looked bad in isolation but was far better than the market's -38.78%.
- MDD ignores frequency and recovery time. It says nothing about how often large losses occur or how long recovery takes.
- It is quoted on AUM in the workbook's definition, not on a single stock's price.
- Do not confuse it with Value at Risk, which is a probability-based estimate of maximum expected loss at a confidence level.
Check yourself
1.Which risk-adjusted measure compares the risk premium per unit of systematic risk borne by the fund?
- a)Sharpe Ratio
- b)Treynor Ratio
- c)Maximum Drawdown
- d)Value at Risk
Show the answer
Answer: (b) Treynor Ratio
This is the workbook's own sample question. The word that decides it is systematic. The Treynor Ratio is (Rp – Rf) ÷ beta, measuring excess return per unit of systematic risk, which is not diversifiable. The Sharpe Ratio divides by standard deviation, that is by total risk. Maximum drawdown and VaR are downside-risk measures, not risk-adjusted return measures.
Where this is taught
Free preparation for NISM Series XIX-BRelated terms
- Category III AIFThe AIF category for funds running diverse or complex trading strategies with leverage — hedge funds and their kin — and the only category denied tax pass-through status.
- Sharpe ratioReturn earned above the risk-free rate divided by standard deviation — how much reward an investment produced for each unit of total risk its holder had to live with.
- Standard deviationA measure of how far returns typically stray from their own average — the standard statistic for total risk, counting company-specific and market-wide causes alike.
- BenchmarkThe independently published index a scheme's performance is measured against, chosen to match its investment objective, asset allocation and strategy, and disclosed in the Scheme Information Document.
- Downside riskThe probability of a loss on account of falling asset prices in changing market conditions — the half of volatility investors actually mind, measured by maximum drawdown and value at risk.
- SkewnessA measure of how far a fund's return distribution departs from symmetry around its mean. Zero is symmetrical; positive has a long right tail; negative has a long left tail and is riskier.
- KurtosisA measure of how peaked a return distribution is and how fat its tails are. The workbook takes a normal distribution as kurtosis 3; above 3 (leptokurtic) signals outliers and higher risk.
- DrawdownThe process by which the manager of a Category III AIF calls committed capital from investors as the fund needs it — also known as a capital call.
- Cash BurnThe rate at which a start-up spends its cash — set against the money in the bank, it says how many months of runway are left before the next round has to close.
- LeptokurticA return distribution with kurtosis above 3 (excess kurtosis above zero): values bunch near the mean or sit far from it — a high peak with fat tails, which the workbook reads as riskier.
- OutliersExtreme returns in a fund's track record, whether highly positive or highly negative — the thing skewness and kurtosis are computed to detect.