How to Choose Between Sharpe and Sortino
The Sharpe and Sortino ratios both divide excess return by a risk measure, but they disagree about what counts as risk. Sharpe treats all volatility as bad; Sortino treats only downside volatility as bad. For a symmetric strategy they tell the same story; for a skewed one they can diverge sharply, and choosing the wrong one misrepresents the strategy. How to pick between them, and why showing both is often the right move, is covered below.
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Before You Start
Set up the inputs that make the next steps easier
Guide Steps
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Each step focuses on one decision so you can keep momentum without losing the thread.
- 1
Check the shape of the return distribution
Before choosing a metric, look at the distribution: is it roughly symmetric, or skewed? The Sharpe ratio assumes that upside and downside volatility are equally undesirable, which is reasonable for a symmetric distribution. If the returns are skewed, treating upside swings as risk the same way you treat downside swings misstates the strategy. The distribution's shape, not preference, is what determines which metric describes it honestly.
Plot the return distribution and check skew and kurtosis before picking a ratio. The shape decides the metric, not the other way around.
Use The ToolCalculatorsReturns Distribution Analyzer
Paste a returns CSV. Histogram, normal-overlay, QQ plot, skewness, excess kurtosis, Jarque-Bera test, tail-weight index. See why Sharpe alone misleads.
ToolOpen -> - 2
Use Sharpe for symmetric, total-volatility cases
The Sharpe ratio divides excess return by the standard deviation of all returns. It is the right default when returns are approximately symmetric and you genuinely care about total variability, including the variability of gains. It is also the most widely reported metric, which makes it useful for comparison across strategies and funds. For a symmetric strategy the Sharpe and Sortino ratios largely agree, so Sharpe is the simpler choice.
Sharpe's ubiquity is a feature for comparison. Even when you prefer Sortino internally, reporting Sharpe lets others benchmark your strategy against the broad universe.
Use The ToolCalculatorsSharpe vs Sortino Calculator
Paste daily returns; get Sharpe, Sortino, Calmar, and Omega side-by-side with a recommendation on which ratio fits your distribution.
ToolOpen -> - 3
Use Sortino when only downside matters
The Sortino ratio divides excess return by the downside deviation, which measures only the volatility of returns below a target. This suits strategies where upside volatility is welcome and only losses are the concern, and especially strategies with positive skew that Sharpe unfairly penalizes for their large gains. When the question is how much downside risk you take per unit of return, Sortino answers it directly where Sharpe muddies it with upside.
Set the Sortino target deliberately, often zero or the risk-free rate. The target defines what counts as downside, so it should reflect the return you actually consider a loss to fall below.
- 4
Read the gap between the two
Compute both and look at the difference. A Sortino ratio much higher than the Sharpe ratio means the strategy's volatility is concentrated on the upside, which Sharpe penalized unfairly, a sign of positive skew. A Sortino close to the Sharpe means returns are roughly symmetric and either metric is fine. A Sortino lower than expected can flag negative skew. The gap is a free diagnostic of the distribution's asymmetry.
A large Sharpe-to-Sortino gap is a skew detector. It tells you the average risk number is hiding an asymmetric distribution worth looking at directly.
Common Mistakes
The misses that undo good inputs
Picking Sortino just because it looks higher
Sortino is often numerically larger than Sharpe for the same strategy, but choosing it to flatter a result rather than because downside risk is the concern is a presentation trick, not an analysis.
Ignoring the Sortino target rate
The Sortino ratio depends on the target that defines downside. Leaving it implicit or inconsistent makes the number incomparable, since the same returns yield different Sortino values for different targets.
Reporting only one ratio for a skewed strategy
For an asymmetric distribution, Sharpe and Sortino tell different and complementary stories. Showing only one hides whether the volatility is upside or downside, which is exactly what a reader needs to know.
Try These Tools
Run the numbers next
Risk-Adjusted Returns Calculator
Paste a returns CSV. Sharpe, Sortino, Calmar, Omega, alpha, beta, tracking error, information ratio, max drawdown, and tail moments — plus.
Drawdown-Recovery Markov Simulator
Time to recover from an N% drawdown given monthly Sharpe + skew + kurtosis. Cornish-Fisher Monte Carlo, percentile distribution of recovery months.
FAQ
Questions people ask next
The short answers readers usually want after the first pass.
Sources & References
- The Sharpe Ratio — William F. Sharpe, Journal of Portfolio Management (1994)
- Performance Measurement in a Downside Risk Framework — Sortino and Price, Journal of Investing (1994)
Related Content
Keep the topic connected
Sharpe Ratio
Sharpe ratio defined, when it lies (skew, fat tails, autocorrelation), and how to read a Sharpe number you didn't compute yourself.
Sortino Ratio
Sortino ratio: same numerator as Sharpe, denominator only counts downside volatility. When it's the right number to look at.
Sharpe vs Sortino
Sharpe vs Sortino: when the gap between the two tells you something real about a strategy's tail behaviour — and when it's just noise from a small sample.
Volatility
Volatility as the standard deviation of returns: realized vs implied, the annualization gotcha, and why volatility-of-volatility matters.