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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 ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersDividing IntegersUnit RatesProportionsPercent ConceptConverting Between Fractions, Decimals, and PercentsOperations with Rational NumbersTwo-Step EquationsSolving Multi-Step EquationsEquations with Variables on Both SidesAngle Pairs: Complementary, Supplementary, and VerticalParallel Lines and TransversalsCorresponding AnglesAlternate Interior AnglesTriangle Angle Sum TheoremExterior Angle TheoremTriangle Inequality TheoremSimilar Triangles: AA SimilaritySimilar Triangles: SSS and SAS SimilarityProportions in Similar TrianglesRight Triangle Trigonometry IntroductionSine, Cosine, and Tangent RatiosTrigonometric Ratios ReviewRadian MeasureConverting Between Degrees and RadiansThe Unit CircleGraphing Sine and CosineGraphing Tangent and Reciprocal Trigonometric FunctionsDerivatives of Trigonometric FunctionsAntiderivativesIndefinite IntegralsBasic Integration RulesRiemann SumsDefinite Integral DefinitionDouble Integrals: Definition and SetupIterated Integrals and Fubini's TheoremDouble Integrals over Rectangular RegionsDouble Integrals over General RegionsApplications of Double Integrals: Area, Mass, and MomentsCenter of MassConservation of Linear MomentumElastic CollisionsInelastic CollisionsCoefficient of RestitutionCollision Analysis and Real-World ApplicationsTwo-Body Collisions in the Center-of-Mass FrameReduced Mass and Two-Body ProblemsKinematics in Two DimensionsProjectile MotionCircular Motion: KinematicsSimple Harmonic MotionIntroduction to Differential EquationsSolow Growth ModelCapital Accumulation and the Golden RuleInvestment Demand and Capital FormationAggregate DemandThe AS-AD ModelBusiness CyclesMonetary Policy ToolsTerm Structure of Interest RatesRisk and Return TradeoffExpected Return and Variance of Financial AssetsPortfolio DiversificationMean-Variance Optimization (Markowitz Framework)Efficient Frontier and Capital Market LineCapital Asset Pricing Model (CAPM)Efficient Market Hypothesis (EMH)Behavioral Finance: Biases and Bounded RationalityMarket Anomalies and Asset Pricing PuzzlesRisk-Adjusted Performance MeasuresRisk-Adjusted Return Measures: Sharpe and Treynor Ratios

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