AbraCalc

Maximum Drawdown (MDD) Calculator

Calculate the maximum drawdown of an investment — the largest peak-to-trough decline — to measure downside risk. Enter a peak portfolio value and trough value to find MDD percentage.

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How to use this tool

  1. Enter peak portfolio value, trough (lowest) value and current portfolio value (optional) in the fields above.
  2. Results update instantly as you type — or click Calculate.
  3. Read your maximum drawdown and the full breakdown beneath it.

⚠ This tool provides general estimates for education only and is not financial, tax or legal advice. Figures may not reflect your situation — verify with a qualified professional.

Formula

MDD = (Peak Value − Trough Value) / Peak Value × 100

Recovery Needed = (Peak − Trough) / Trough × 100

How it works

Maximum drawdown measures the largest peak-to-trough percentage decline in portfolio value over a specified period, representing the worst-case loss an investor would have experienced if they bought at the peak and sold at the trough. It is a key risk metric used by fund managers and investors to evaluate downside exposure. The recovery percentage shows how much the portfolio must gain from the trough just to return to its previous peak — losses are asymmetric, so a 40% drawdown requires a 66.7% gain to recover.

Worked example

Portfolio drops from $150,000 to $90,000

  1. Peak value = $150,000; trough value = $90,000.
  2. Dollar loss = $150,000 − $90,000 = $60,000.
  3. MDD = ($60,000 / $150,000) × 100 = 40.00%.
  4. Recovery needed = ($60,000 / $90,000) × 100 = 66.67% gain from the trough to reach peak.

Maximum drawdown is 40.00%; a 66.67% gain from the trough is needed to recover to the peak.

Common mistakes to avoid

  • Using a single period return as the peak-to-trough decline instead of identifying the highest historical peak before the lowest subsequent trough — MDD requires finding the worst cumulative decline across the full return series.
  • Confusing maximum drawdown with volatility (standard deviation) — MDD measures the worst realized loss sequence, while volatility measures average dispersion of returns; a low-volatility strategy can still have a large MDD.
  • Failing to account for the asymmetric recovery math: a 50% drawdown requires a 100% gain to recover, not 50%; the recovery-needed figure is always larger than the drawdown percentage.

Key terms

What is maximum drawdown?
Maximum drawdown (MDD) is the maximum observed loss from a peak to a subsequent trough in a portfolio's value, before a new peak is achieved. It measures the worst-case downside risk over a period.
Why is recovery harder than the original loss?
Because the base for recovery is smaller. A 50% loss requires a 100% gain to break even, because you are now starting from a lower base value.
What is a good maximum drawdown?
Lower drawdowns are better. Conservative funds may target drawdowns under 10–15%, while aggressive equity strategies might tolerate 30–50% drawdowns during bear markets.
How is MDD used in portfolio analysis?
MDD is used in the Calmar ratio (return / MDD) and to evaluate risk-adjusted performance. It helps investors understand the worst historical loss they might have experienced.

Frequently asked questions

Why does recovery from a large drawdown require a bigger gain than the loss?
If a $100 portfolio falls 50% to $50, it must double (100% gain) to return to $100. The percentage gain is calculated on the smaller base, so the required return always exceeds the percentage loss.
How is maximum drawdown used in practice?
Risk managers and allocators use MDD to set position-sizing limits and risk budgets. A fund's MDD history tells investors the worst loss they may have experienced if they invested at a historical peak — a key metric for assessing tail risk.
Is a lower maximum drawdown always better?
Not necessarily. Some strategies deliberately accept larger drawdowns in exchange for higher expected returns. A strategy with a 40% MDD but 15% annualized returns may be preferable to one with a 10% MDD and 5% returns, depending on an investor risk tolerance and time horizon.

References & sources