What Is a Good Sharpe Ratio?
A good Sharpe ratio depends on context, but many investors treat 1.0+ as acceptable, 1.5+ as strong, and 2.0+ as excellent over a meaningful time window.
This guide explains what is a good Sharpe ratio, how to interpret it, and how to improve risk-adjusted return.
Last updated: April 2026
Short Answer
A good Sharpe ratio is usually one that delivers higher excess return per unit of volatility, often 1.0+ for many long-term strategies.
What It Means
Sharpe ratio measures excess return per unit of volatility and helps compare how efficiently portfolios convert risk into return.
Sharpe Ratio = (Portfolio Return - Risk-Free Rate) / Portfolio Volatility
It helps compare two portfolios that may have similar return but different risk.
Sharpe Benchmarks (Rule of Thumb)
| Sharpe Range | Interpretation | Common Use |
|---|---|---|
| < 1.0 | Below target for many long-term strategies | Needs risk/return cleanup |
| 1.0 - 1.49 | Solid risk-adjusted efficiency | Often acceptable baseline |
| 1.5 - 1.99 | Strong risk-adjusted return | Competitive portfolio quality |
| 2.0+ | Excellent, but verify sustainability | Can reflect temporary regime tailwinds |
Numeric Example
Suppose a portfolio returns 11%, risk-free rate is 4%, and volatility is 10%.
Sharpe = (11% - 4%) / 10% = 0.70
A 0.70 Sharpe means return may not be compensating enough for volatility. Improving diversification, reducing concentration, and rebalancing can help.
How to Improve a Low Sharpe Ratio
The steps below show how investors typically improve risk-adjusted return in practice.
- 1. Reduce concentration in top holdings and highly correlated positions.
- 2. Rebalance toward a more stable risk budget across sectors/factors.
- 3. Remove redundant exposures that add volatility without improving expected return.
You can test these changes directly in the portfolio optimizer to see how Sharpe ratio, volatility, and concentration change and discover candidates in the stock screener.
Unique Insight
Many low-Sharpe portfolios are not low-return portfolios; they are high concentration portfolios with avoidable volatility drag.
Apply This Using Real Stocks
Use live pages to inspect volatility and risk-adjusted context before reallocating:
Related reading: how to improve Sharpe ratio.
FAQs
What is considered a good Sharpe ratio?
Most practitioners treat 1.0 as the minimum acceptable threshold, 1.5 as strong, and 2.0+ as excellent — though context matters significantly. A Sharpe of 1.2 measured over a 10-year period including a bear market is more meaningful than a Sharpe of 2.0 measured during a single bull-market year. Hedge funds typically target 1.0–1.5; passive index portfolios often land in the 0.5–0.8 range over long periods. The benchmark that matters is your peer group and strategy type, not an absolute number.
Can a high Sharpe ratio be misleading?
Yes, in several ways. A short measurement window during a strong bull market inflates Sharpe because realized volatility is suppressed and returns are elevated simultaneously. Strategies that sell options or hold illiquid assets can show artificially high Sharpe ratios because losses are infrequent but large when they occur — the volatility is understated relative to the true risk. Always validate Sharpe over multiple market regimes and check maximum drawdown alongside it: a high Sharpe with a large historical drawdown signals that the volatility measure is incomplete.
How can I improve a low Sharpe ratio?
The two levers are increasing return efficiency and reducing unnecessary volatility. Diversification reduces portfolio volatility without proportionally reducing expected return, directly improving Sharpe. Position sizing discipline — limiting how much any single volatile position contributes to total portfolio volatility — prevents concentrated bets from dragging down the ratio. Rebalancing prevents drift toward higher-risk allocations as winners grow. Finally, trimming positions with deteriorating momentum or quality before they become large drawdowns preserves the numerator (return) while containing the denominator (volatility).