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Alpha

As explained in Build a Robo-Advisor with Python (From Scratch)

Alpha is the intercept of a return regression and represents performance not explained by the benchmark or specified risk factors.

Alpha measures return not explained by market exposure. In a regression of an investment’s excess return on the market’s excess return, alpha is the intercept: r − rf = α + β(rm − rf) + ε. A positive alpha suggests the investment outperformed its benchmark after accounting for beta. section 7.2.2

Figure 7.3 Scatter plot of returns of an investment against returns on the market
figure

Plotting investment excess returns against market excess returns makes beta the fitted line’s slope and alpha its intercept. section 7.2.2

The single-factor form separates expected excess return into alpha plus a market risk premium scaled by beta. It can be extended with multifactor models, including the three-factor Fama–French model, when market exposure alone may not explain returns. section 7.2.2 section 3.1.2

Use alpha with its risk scope in mind:

  • Alpha accounts for market risk but ignores idiosyncratic risk, the unique risk that can be diversified away. section 7.2.4 section 7.3
  • Prefer alpha when evaluating an investment held as one part of a diversified portfolio. section 7.2.4
  • Prefer the Sharpe ratio when the investment is the entire portfolio, because it includes both market and idiosyncratic risk. section 7.2.4 section 7.3

CAPM expectation versus realized performance

CAPM implies zero alpha for a fund or portfolio: expected return is attributed to risk-free return and market beta. Persistent deviations from that prediction motivate debate over mispricing, behavioral effects, and additional return factors. section 3.1.2 section 7.2.2

How Build a Robo-Advisor with Python (From Scratch) covers it

How deep it goes
Defines alpha through a single-factor excess-return regression and notes multifactor extensions without deriving them.
Examples
Uses a scatter plot of investment and market excess returns and hypothetical funds sharing alpha but differing in idiosyncratic risk.
What you can do after
Evaluate/understand benchmark-adjusted performance and choose alpha or the Sharpe ratio according to portfolio context.
How it connects
Connects alpha to CAPM, beta, risk-free rate, market risk premium, Fama–French model, and Sharpe ratio.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Build a Robo-Advisor with Python (From Scratch). The section links point to the parts of the book it draws on.