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Risk-free return

Risk-free return is the theoretical return on an investment assumed to have no default or other relevant uncertainty risk over a specified horizon.

How 2 Manning books explain it

Investing for Programmers

The risk-free rate is the theoretical return on an investment with no default or uncertainty risk, commonly approximated by government security yields.

How it is used
Uses a baseline return to compare risky assets and evaluate portfolio risk-adjusted performance.
How deep it goes
Defines the rate, distinguishes it from market averages, and applies it in Sharpe-ratio portfolio calculations.
Examples
Compares a 10-year US Treasury yield with Apple’s dividend yield and uses a 4.22% rate in portfolio simulation.
What you can do after
Apply via Python by inserting a risk-free rate into Sharpe-ratio and efficient-portfolio calculations.

Read how Investing for Programmers explains risk-free return →

Build a Robo-Advisor with Python (From Scratch)

The risk-free rate is the return associated with an investment assumed to have no default risk over the relevant time horizon.

How it is used
Anchors portfolio construction by providing a zero-volatility asset for mixing with a tangent portfolio.
How deep it goes
Derives constrained optimal weights and related formulas, while separating deeper mathematical derivations into an optional appendix.
Examples
Uses one-month Treasury bills, ten-year bonds sold early, portfolio allocations, and a risk–reward plot.
What you can do after
Apply it via portfolio optimization equations and Python plotting to analyze risk-free and risky-asset combinations.

Read how Build a Robo-Advisor with Python (From Scratch) explains risk-free return →

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.