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Jensen's Alpha Calculator
Jensen’s alpha measures how much a portfolio or fund returned above or below what the CAPM says it should have earned given its beta. The benchmark is Rf + β(Rm − Rf), the return you could have got from a mix of the market and risk-free assets with the same market risk. Alpha is the difference between the actual return and that benchmark.
Formula
Where
- α
- Jensen’s alpha: return above what CAPM predicts
- Rp
- actual portfolio return
- Rf
- risk-free rate
- βp
- portfolio beta
- Rm
- market return over the same period
Calculator
Result and step-by-step solution
Positive alpha: the portfolio beat its CAPM benchmark of 11.2%.
- CAPM expected return4% + 1.2 × (10% − 4%) = 11.2%
- Subtract from the actual returnα = 14% − 11.2% = 2.8%
How to use the formula
A positive alpha suggests the manager added value through security selection or timing; a negative alpha means investors would have done better with a passive mix of the same risk. Because it is a return, alpha is easy to explain: an alpha of 2% means 2 percentage points a year above the risk-adjusted benchmark.
In the example the portfolio returned 14% with a beta of 1.2, the market returned 10% and the risk-free rate was 4%. CAPM predicts 11.2%, so alpha is 2.8%. For a formal test, alpha is estimated as the intercept of a regression of excess portfolio returns on excess market returns, and you should check that it is statistically different from zero. For ratio-based comparisons see the Treynor and Sharpe ratios.
Frequently asked questions
- What is the formula for Jensen’s alpha?
- α = Rp − [Rf + βp × (Rm − Rf)].
- What does a positive alpha mean?
- The portfolio earned more than CAPM predicts for its level of market risk.
- Is alpha the same as excess return?
- No. Excess return is usually return minus the risk-free rate or minus a benchmark; alpha adjusts the benchmark for the portfolio’s beta.
- Which period should the inputs cover?
- The same period for all of them, typically one year or an annualized multi-year figure.
Last reviewed: September 26, 2026. Calculations run in your browser and were checked against numpy-financial, SciPy and published spreadsheet examples.
