Sharpe Ratio

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Yun (토론 | 기여)님의 2025년 2월 14일 (금) 09:08 판 (Created page with "'''Sharpe Ratio''' is a financial metric used to measure the risk-adjusted return of an investment. It helps investors understand how much excess return they are earning for the additional risk taken compared to a risk-free asset. ==Definition== The Sharpe Ratio is calculated as: *Sharpe Ratio = (R_p - R_f) / σ_p where: *'''R_p''' – Return of the portfolio. *'''R_f''' – Risk-free rate (e.g., U.S. Treasury rate). *'''σ_p''' – Standard deviation of the portfolio's...")
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Sharpe Ratio is a financial metric used to measure the risk-adjusted return of an investment. It helps investors understand how much excess return they are earning for the additional risk taken compared to a risk-free asset.

Definition[편집 | 원본 편집]

The Sharpe Ratio is calculated as:

  • Sharpe Ratio = (R_p - R_f) / σ_p

where:

  • R_p – Return of the portfolio.
  • R_f – Risk-free rate (e.g., U.S. Treasury rate).
  • σ_p – Standard deviation of the portfolio's return (risk).

Interpretation[편집 | 원본 편집]

  • Sharpe Ratio greater than 1 – Indicates a good risk-adjusted return.
  • Sharpe Ratio between 0 and 1 – Suggests that returns may not be significantly better than the risk-free rate.
  • Negative Sharpe Ratio – The investment underperforms compared to the risk-free rate.

Example Calculation[편집 | 원본 편집]

Suppose:

  • Portfolio return (R_p) = 12%
  • Risk-free rate (R_f) = 3%
  • Portfolio standard deviation (σ_p) = 10%

The Sharpe Ratio is:

  • (12% - 3%) / 10% = 0.9

Advantages[편집 | 원본 편집]

  • Compares different investments – Helps assess performance across assets.
  • Considers risk – Accounts for volatility, unlike raw returns.
  • Widely used – Standard benchmark in portfolio management.

Limitations[편집 | 원본 편집]

  • Assumes normal distribution – May not be accurate for highly skewed assets.
  • Sensitive to inputs – Different risk-free rates or time periods can affect results.
  • Does not capture downside risk separately – Unlike the Sortino Ratio.

Applications[편집 | 원본 편집]

  • Portfolio optimization in asset management.
  • Comparing mutual funds, hedge funds, and ETFs.
  • Evaluating risk-adjusted returns in quantitative finance.

Variations[편집 | 원본 편집]

  • Sortino Ratio – Focuses only on downside risk.
  • Treynor Ratio – Uses beta instead of standard deviation.

See Also[편집 | 원본 편집]