Risk-adjusted return is a category of performance metrics that evaluate how much return a strategy generates relative to the risk it takes. Raw returns alone are insufficient for strategy evaluation because they ignore the volatility, drawdowns, and tail risks involved in achieving those returns. Two strategies that both return 15% annually can have vastly different risk profiles, and risk-adjusted metrics reveal which one is actually performing better.
Why raw returns are misleading
A strategy that returns 30% in a year sounds impressive until you learn that it experienced a 60% drawdown along the way. Another strategy returns 15% with a 5% maximum drawdown. The second strategy is clearly superior on a risk-adjusted basis because its returns come with far less downside risk. An investor could leverage the second strategy to match the first strategy's returns while taking much less risk.
Raw returns also do not account for market conditions. A strategy that returns 12% in a year when the market returns 25% is underperforming. A strategy that returns 5% in a year when the market falls 20% is doing exceptionally well. Risk-adjusted metrics capture these nuances.
Common risk-adjusted return metrics
The Sharpe ratio measures excess return (return above the risk-free rate) per unit of total volatility. It is the most widely used risk-adjusted metric and is suitable for comparing strategies with similar return distributions. Its main limitation is that it penalizes upside volatility equally with downside volatility.
The Sortino ratio improves on the Sharpe ratio by only considering downside volatility. This is more relevant for most traders because upside volatility (positive surprises) is desirable. Strategies with positively skewed returns, such as trend-following approaches, often look better on the Sortino ratio than the Sharpe ratio.
The Calmar ratio measures annualized return relative to maximum drawdown. It is particularly intuitive because maximum drawdown represents the actual worst-case loss experience. A Calmar ratio of 2 means the strategy earned twice its worst drawdown per year.
The information ratio measures excess return relative to a benchmark per unit of tracking error (the volatility of excess returns). It is most useful for strategies that are benchmarked against an index, such as long-only equity strategies.
Using risk-adjusted metrics together
No single metric tells the complete story. The Sharpe ratio captures average risk, the Calmar ratio captures tail risk, and the Sortino ratio captures downside-specific risk. A comprehensive evaluation uses multiple metrics together and examines the equity curve visually for patterns that summary statistics might miss, such as a strategy that performs well in trending markets but loses money during range-bound periods.
Practical example
Consider three strategies over the same period. Strategy A: 25% return, 15% standard deviation, 20% max drawdown. Strategy B: 18% return, 8% standard deviation, 8% max drawdown. Strategy C: 30% return, 25% standard deviation, 40% max drawdown. With a 4% risk-free rate, the Sharpe ratios are 1.4, 1.75, and 1.04 respectively. The Calmar ratios are 1.25, 2.25, and 0.75. By both measures, Strategy B is the most efficient despite having the lowest raw return.
How Tektii helps
Tektii calculates a comprehensive suite of risk-adjusted metrics for every backtest, including Sharpe, Sortino, Calmar, and information ratios. The platform presents these metrics in a unified dashboard so traders can evaluate their strategies from multiple risk perspectives simultaneously. By making risk-adjusted evaluation the default rather than an afterthought, Tektii helps traders focus on strategies that deliver sustainable, risk-efficient performance.