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Systematic and Unsystematic Risk Decomposition

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Beta and Systematic RiskCost of Equity and CAPM Application
risk-measurement beta capm

Core Idea

Total risk = systematic risk (market-related, β) + unsystematic risk (firm-specific, diversifiable). Well-diversified portfolios eliminate unsystematic risk; only systematic risk remains and is priced in equilibrium, determining expected returns via CAPM.

How It's Best Learned

Regress stock returns on market returns; the slope is beta (systematic risk exposure). Calculate R² to see what fraction of risk is systematic versus unsystematic.

Explainer

You already know that beta measures a stock's sensitivity to market movements — a stock with β = 1.5 tends to move 1.5% for every 1% move in the market. This topic makes that picture more precise by asking: what is the rest of the stock's movement doing? If beta explains the market-related part of a stock's return, something else must explain the departures from that pattern. The answer is unsystematic risk — variation driven by firm-specific events that have nothing to do with the broader market.

Think about the sources of stock price movements. When the Fed raises interest rates, nearly every stock falls — this is systematic risk, because the shock hits the whole market. When a pharmaceutical company announces that its flagship drug failed a clinical trial, that company's stock plummets while the rest of the market barely notices — this is unsystematic risk, also called idiosyncratic risk or firm-specific risk. The decomposition is: Total Risk = Systematic Risk + Unsystematic Risk, or in variance terms: σ²_i = β²_i·σ²_m + σ²_ε, where σ²_m is market variance and σ²_ε is the variance of the firm-specific residual.

The crucial insight is that these two components are treated very differently by the market's pricing mechanism. Unsystematic risk is diversifiable: if you hold a portfolio of 30 or more stocks, the firm-specific shocks tend to cancel out across positions. One company's drug failure is offset by another's surprise earnings beat. As you add more stocks, idiosyncratic variance approaches zero in a well-diversified portfolio. Systematic risk, by contrast, cannot be diversified away — when the whole market falls, every stock in your portfolio falls too.

Because rational investors can eliminate unsystematic risk cheaply through diversification, the market does not compensate them for bearing it. You receive no additional expected return for holding a concentrated position in a single volatile stock, because the idiosyncratic volatility could have been eliminated costlessly. What the market does price is systematic risk — the component measured by beta that cannot be escaped no matter how broadly you diversify. This is the foundation of CAPM: expected return is a function of beta alone, not total volatility. A stock with high total variance but low beta (because most of its variance is idiosyncratic) should have a low expected return. A stock with modest total variance but high beta should have a high expected return. The R² from regressing a stock's returns on the market tells you exactly what fraction of total risk is systematic — and therefore what fraction is being priced.

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 DiversificationBeta and Systematic RiskSystematic and Unsystematic Risk Decomposition

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