Definicja

Jensen's Alpha — What Is Alpha in Investing?

Definition of Jensen's alpha. How it measures excess return over benchmark and what it means for portfolio manager evaluation.

Definition

Alpha (α), also known as Jensen's alpha, is a measure of excess investment return beyond what the CAPM (Capital Asset Pricing Model) predicts for a given risk level (beta).

Simply put: alpha tells you how much more (or less) you earned than you should have, considering the risk you took.

Interpretation

  • α > 0 — portfolio beat the benchmark after adjusting for risk (manager added value)
  • α = 0 — portfolio performed exactly as the model predicted
  • α < 0 — portfolio lost to the benchmark (manager subtracted value)

Formula

α = Rp - [Rf + β × (Rm - Rf)]

Where:

  • Rp = actual portfolio return
  • Rf = risk-free rate
  • β = portfolio beta
  • Rm = market return (benchmark)

Example

Your portfolio earned 15%, the market (S&P 500) 12%, risk-free rate 3%, portfolio beta 1.2.

α = 15% - [3% + 1.2 × (12% - 3%)]
α = 15% - [3% + 10.8%]
α = 15% - 13.8% = +1.2%

Your alpha is +1.2% — you earned 1.2% more than the model predicted for your risk level.

Why is alpha important?

Alpha is a key metric for evaluating:

  • Fund managers — is the active fund worth higher fees?
  • Your portfolio — do your decisions add value vs simple index ETF?

Studies show that 80–90% of active funds generate negative alpha after fees. That's why many experts recommend passive investing (ETFs).

Alpha vs beta

  • Beta = how much market risk you're taking
  • Alpha = how much additional return you're generating beyond that risk

Passive investors aim for beta = 1 and alpha = 0 (same results as the market). Active investors seek positive alpha.

How Freenance can help?

Freenance can calculate your portfolio's alpha by comparing results to a selected benchmark. Check if your investment decisions truly add value — or whether it's better to switch to a simpler ETF portfolio.

👉 Measure your portfolio's alpha with Freenance — freenance.io

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