Calmar Ratio
The Calmar ratio divides an investment's annualized return by its maximum drawdown, measuring return earned per unit of worst-case loss.
The Calmar ratio is calculated as the annualized (typically compounded) rate of return divided by the absolute value of the maximum drawdown, usually measured over a trailing period such as three years. If a strategy returns 20% per year and its worst peak-to-trough decline was 40%, its Calmar ratio is 0.5. It is a return-to-pain measure: how much annual growth you are compensated with for the deepest loss the strategy has actually inflicted.
What distinguishes the Calmar ratio from the Sharpe or Sortino ratio is the choice of risk in the denominator. Sharpe uses total volatility and Sortino uses downside volatility, but both are based on the dispersion of returns. The Calmar ratio instead uses maximum drawdown, an extreme, path-dependent statistic. This makes it especially sensitive to tail events and to the single worst stretch a strategy endured, which is often the scenario investors care most about avoiding.
A higher Calmar ratio is better, indicating more return for each unit of worst-case loss. Values above 1.0 over a multi-year window are generally considered strong, though the ratio is sensitive to the lookback period chosen and can be flattered by a calm sample that simply never contained a severe drawdown. For that reason it is best read alongside the underlying maximum drawdown figure and other risk-adjusted measures rather than in isolation.
hedgewing.ai surfaces the Calmar ratio within the risk analytics derived from its nightly walk-forward backtesting, pairing it with the maximum drawdown it is built from. Because the platform validates its four-model ensemble strictly out-of-sample, the drawdown driving the ratio reflects how the strategy would have behaved on unseen data rather than on a curve-fit history.
Related terms
Maximum Drawdown · Sharpe Ratio · Sortino Ratio · Risk-Adjusted Return
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