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Systematic and Unsystematic Risk Decomposition

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Beta and Systematic Risk→→Cost 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 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 → Beta and Systematic Risk → Systematic and Unsystematic Risk Decomposition

Longest path: 116 steps · 871 total prerequisite topics

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