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Risk-adjusted return

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

Risk-adjusted return, or risk-adjusted performance, is investment performance evaluated in relation to the amount or type of risk taken to achieve it.

Risk-adjusted return evaluates investment performance relative to the risk required to achieve it. Comparing returns alone can mislead when leverage or differing volatility magnifies results. section 7.2

Use the measure that matches the investor’s risk perspective:

  • Sharpe ratio: (expected return − risk-free rate) / volatility. It measures expected reward per unit of total risk and corresponds to the slope of the capital allocation line. section 7.2.1
  • Alpha: excess return after accounting for market exposure. It captures market risk but ignores idiosyncratic risk that can be diversified away. section 7.2.4 section 7.3
  • Information ratio: a benchmark-relative counterpart in which return and volatility are measured against a benchmark. section 7.3

A leverage-invariant Sharpe ratio

An investment expected to return 20% with 15% volatility and a 5% risk-free rate has a Sharpe ratio of (20% − 5%) / 15% = 1.0. Doubling the investment through borrowing doubles expected return and volatility, while borrowing costs preserve the same ratio. section 7.2.1

Choose alpha when evaluating one asset within a diversified portfolio; choose the Sharpe ratio when the investment represents the investor’s entire portfolio. High risk-adjusted return can still produce too little absolute return for financial goals. section 7.2.4 section 11.3

Figure 7.6 Two investments with the same alpha but different idiosyncratic risk
figure

Compare investments with equal alpha but different idiosyncratic risk to see why alpha and Sharpe ratio can rank them differently. section 7.2.4

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

How deep it goes
Defines Sharpe ratio, alpha, and information ratio, derives the Sharpe formula, and stops short of implementation detail.
Examples
Uses a leveraged $1 million investment, US stock-market statistics, equal-alpha funds, and risk-parity portfolio comparisons.
What it assumes
Assumes familiarity with returns, volatility, risk-free rates, market exposure, benchmarks, and portfolio diversification.
What you can do after
Evaluate investment performance and select alpha or Sharpe ratio according to diversification and portfolio role.
How it connects
Connects Sharpe ratio to volatility, the capital allocation line, leverage, alpha, market risk, idiosyncratic risk, and diversification.

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.