Sortino Ratio Calculator

The Sortino Ratio is an advanced performance metric that focuses on downside risk rather than total volatility.

It helps investors evaluate returns while penalizing only harmful deviations below a target return.

How to Use the Calculator

Enter your portfolio returns, target return, and downside deviation to calculate the Sortino Ratio instantly.

Sortino Ratio Calculator Online

What Is the Sortino Ratio?

The Sortino Ratio is a modification of the Sharpe Ratio that considers only downside volatility.

Instead of penalizing both gains and losses, it focuses exclusively on returns below a minimum acceptable return.

Sortino Ratio Formula

Sortino Ratio = (Rp − Rtarget) / Downside Deviation

 

Where:

  • Rp = portfolio return

  • Rtarget = minimum acceptable return

  • Downside deviation = volatility of negative returns

Sortino Ratio vs Sharpe Ratio

Metric

Sharpe Ratio

Sortino Ratio

Risk measure

Total volatility

Downside volatility

Penalizes upside?

Yes

No

Best for

Normal distributions

Skewed returns

Why the Sortino Ratio Matters

Many investment strategies generate asymmetric returns.

The Sortino Ratio provides a more realistic view of performance when upside volatility should not be treated as risk.

How to Interpret the Sortino Ratio

  • < 0 – Underperforming target return
  • 0–1 – Weak downside-adjusted performance
  • 1–2 – Good performance
  • > 2 – Excellent downside-adjusted returns

Sortino Ratio – Frequently Asked Questions

A Sortino Ratio above 1 is generally considered good, while values above 2 indicate strong downside-adjusted performance.

It depends on the investment strategy. Sortino Ratio is better when downside risk is more relevant than total volatility.

Yes. A negative Sortino Ratio means returns are below the target return.

No. It focuses specifically on downside risk rather than total volatility.

Limitations of the Sortino Ratio

While more refined than the Sharpe Ratio, the Sortino Ratio also has limitations:

  • Sensitive to target return selection

  • Requires sufficient downside observations

  • Less stable for short time series

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