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Risk-Adjusted Return

Risk Metric

Risk-adjusted return measures how much return an investment produced relative to the risk taken to earn it, not just the raw gain.

Risk-adjusted return normalizes performance by the risk incurred, so assets with very different volatility can be compared fairly. Two coins with the same return are not equally good if one needed far more risk to get there.

The concept is implemented through specific formulas that divide reward by a risk measure. The Sharpe Ratio divides excess return by total volatility; the Sortino Ratio divides the same excess return by downside deviation only; beta-based measures divide by market sensitivity. All express the same idea — return per unit of risk.

This matters most in crypto, where raw price appreciation is a poor comparison tool: a token up 40% with 150% annualized volatility may have delivered worse risk-adjusted performance than one up 15% with 30% volatility. Risk-adjusted metrics rank assets by efficiency, not just magnitude.

Worked example: Coin A is up 40% with 150% volatility; Coin B is up 15% with 30% volatility. Ignoring the risk-free rate, A's return-per-unit-risk is 0.40 ÷ 1.50 ≈ 0.27 while B's is 0.15 ÷ 0.30 = 0.50 — so despite less than half the raw gain, B delivered nearly double the risk-adjusted return.

Crypto Relevance

On the Risk Dashboard, risk-adjusted return is the umbrella idea behind the Sharpe and Sortino figures shown per coin — the "why" behind comparing efficiency across volatile ISO 20022 assets. Informational only, not investment advice.

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Last reviewed: 2026-07-03

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Not financial advice. Nothing on this site constitutes investment advice. Always do your own research (DYOR).