Sharpe Ratio
The Sharpe Ratio measures risk-adjusted return, calculated as (Return - Risk-Free Rate) / Standard Deviation of returns. Higher is better.
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Definition
The Sharpe Ratio measures risk-adjusted return, calculated as (Return - Risk-Free Rate) / Standard Deviation of returns. Higher is better.
Use case
Used in risk management workflows, analysis, and technical interviews.
Judgment check
Useful only when the assumptions and inputs behind the metric are understood.
Deep dive
How to think about Sharpe Ratio
Developed by William Sharpe (Nobel laureate). It answers: 'How much excess return was generated per unit of volatility taken?' A Sharpe ratio above 1.0 is considered good, above 2.0 very good, above 3.0 exceptional. Limitations: uses standard deviation (penalizes upside volatility equally), assumes normal distribution.
Example: Portfolio A returns 15% with 20% volatility; risk-free rate is 5%. Sharpe = (15% - 5%) / 20% = 0.50. Portfolio B returns 12% with 8% volatility. Sharpe = (12% - 5%) / 8% = 0.875. Portfolio B has better risk-adjusted performance despite lower absolute returns.