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Risk-Adjusted Return Measures: Sharpe and Treynor Ratios

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Expected Return and Variance of Financial AssetsRisk-Adjusted Performance Measures→
performance-measurement risk-adjustment portfolio-evaluation

Core Idea

Sharpe ratio = (return − risk-free rate) / volatility measures return per unit of total risk. Treynor ratio = (return − risk-free rate) / beta measures return per unit of systematic risk. Sharpe ratio ranks portfolios for investors with undiversified wealth; Treynor ranks for diversified investors.

Explainer

From your study of expected returns and variance, you know that raw return is an incomplete measure of investment performance. A portfolio that returns 20% by taking enormous risks is not necessarily better than one returning 12% with minimal volatility. Risk-adjusted return measures are designed to make portfolios comparable by asking: how much return did this portfolio earn per unit of risk it took on? The Sharpe ratio and Treynor ratio are the two most fundamental answers to that question — and they differ precisely in what they consider "risk."

The Sharpe ratio divides the portfolio's excess return (return above the risk-free rate) by the portfolio's standard deviation of returns. The risk-free rate is subtracted because you can earn it without any risk — a good manager must beat that baseline. Standard deviation is used as the risk measure because it captures total volatility: both idiosyncratic (company-specific) risk and systematic (market-wide) risk. A portfolio with a Sharpe ratio of 0.8 earns 0.8 units of excess return per unit of total volatility. The Sharpe ratio is the right measure when you're evaluating a portfolio that represents your entire investment — for example, a hedge fund investor who puts all their wealth in one fund, or an endowment evaluating a stand-alone allocation. In these cases, you cannot diversify away the idiosyncratic component, so total volatility is the relevant cost.

The Treynor ratio divides excess return by beta — the portfolio's sensitivity to the market — rather than by total standard deviation. Beta measures only systematic risk, the part that cannot be diversified away by holding a broad portfolio. The Treynor ratio is appropriate when evaluating a portfolio that is one component of a larger diversified portfolio. If you manage a growth equity sleeve within a larger institutional portfolio, the idiosyncratic risk in that sleeve is diversified away at the total portfolio level. What matters is how much market risk your sleeve contributes — its beta — relative to its excess return. A portfolio can have high standard deviation but low beta (it's volatile in idiosyncratic ways that wash out in a large portfolio), making it look poor on the Sharpe ratio but good on the Treynor ratio.

The practical implication is that the two measures can rank portfolios differently, and both rankings can be correct for different investors. Suppose Fund A has Sharpe 0.6, Treynor 0.9, and Fund B has Sharpe 0.8, Treynor 0.5. A pension fund building a diversified multi-manager portfolio prefers Fund A (higher Treynor); an individual who will hold only this fund prefers Fund B (higher Sharpe). Neither ratio is universally superior — the right measure depends on the investment context. A common mistake is applying the Treynor ratio to an undiversified investor, or the Sharpe ratio to a well-diversified institutional portfolio, and drawing incorrect conclusions about manager skill. Always start by asking: what does this portfolio's risk look like from the perspective of the investor who holds it?

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Radian Measure → Converting Between Degrees and Radians → The Unit Circle → Graphing Sine and Cosine → Graphing Tangent and Reciprocal Trigonometric Functions → Derivatives of Trigonometric Functions → Antiderivatives → Indefinite Integrals → Basic Integration Rules → Riemann Sums → Definite Integral Definition → Double Integrals: Definition and Setup → Iterated Integrals and Fubini's Theorem → Double Integrals over Rectangular Regions → Double Integrals over General Regions → Applications of Double Integrals: Area, Mass, and Moments → Center of Mass → Conservation of Linear Momentum → Elastic Collisions → Inelastic Collisions → Coefficient of Restitution → Collision Analysis and Real-World Applications → Two-Body Collisions in the Center-of-Mass Frame → Reduced Mass and Two-Body Problems → Kinematics in Two Dimensions → Projectile Motion → Circular Motion: Kinematics → Simple Harmonic Motion → Introduction to Differential Equations → Solow Growth Model → Capital Accumulation and the Golden Rule → Investment Demand and Capital Formation → Aggregate Demand → The AS-AD Model → Business Cycles → Monetary Policy Tools → Term Structure of Interest Rates → Risk and Return Tradeoff → Expected Return and Variance of Financial Assets → Portfolio Diversification → Mean-Variance Optimization (Markowitz Framework) → Efficient Frontier and Capital Market Line → Capital Asset Pricing Model (CAPM) → Efficient Market Hypothesis (EMH) → Behavioral Finance: Biases and Bounded Rationality → Market Anomalies and Asset Pricing Puzzles → Risk-Adjusted Performance Measures → Risk-Adjusted Return Measures: Sharpe and Treynor Ratios

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