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Sharpe ratio

The Sharpe ratio measures an investment’s excess expected return over the risk-free rate per unit of return volatility.

How 2 Manning books explain it

Build a Robo-Advisor with Python (From Scratch)

The Sharpe ratio is the expected return above the risk-free rate divided by the investment's volatility, measuring expected reward per unit of risk.

How it is used
Evaluates investments by expected excess return relative to volatility rather than by return alone.
How deep it goes
Derives the formula from the capital allocation line, works a leverage example, and distinguishes total from diversifiable risk.
Examples
Uses a leveraged $1 million investment and capital allocation line diagrams to illustrate interpretation and comparison.
What you can do after
Evaluate investments using expected excess return, volatility, leverage invariance, and portfolio-level risk.

Read how Build a Robo-Advisor with Python (From Scratch) explains Sharpe ratio →

Investing for Programmers

The Sharpe ratio is a portfolio performance measure that compares excess return over the risk-free rate with the portfolio's volatility.

How it is used
Evaluates portfolio returns against volatility when comparing risk-adjusted performance.
How deep it goes
Calculates the ratio inside portfolio simulation and visualization, while distinguishing it from the broader efficient-frontier criterion.
Examples
Uses historical prices, seven named stocks, 10,000 simulated portfolios, plots, and an optimal-weight table.
What you can do after
Evaluate candidate portfolios by calculating, ranking, plotting, and inspecting their Sharpe ratios.

Read how Investing for Programmers explains Sharpe ratio →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.