Capital Asset Pricing Model (CAPM)
The Capital Asset Pricing Model (CAPM) determines expected returns based on systematic risk. The Series 65 exam tests CAPM, beta, alpha, standard deviation, R-squared, and the distinction between the Security Market Line and Capital Market Line.
CAPM Formula
- Extends Modern Portfolio Theory by introducing the risk-free rate and the concept of a market portfolio
- Developed by William Sharpe (1964), John Lintner, and Jan Mossin
- Calculates the expected return of a security based on its systematic risk (beta)
- : Expected return of the security
- : Risk-free rate (typically 91-day T-bill yield)
- : Systematic risk relative to the market
- : Expected return of the market
- : Market risk premium (also called equity risk premium)
Formula Example
- Risk-free rate: 3%
- Market return: 10%
- Stock beta: 1.2
Calculation:
- Market risk premium = 10% - 3% = 7%
- Expected return = 3% + (1.2 x 7%) = 3% + 8.4% = 11.4%
Think of it this way: Start with the risk-free rate (what you'd earn with zero risk). Then add extra return based on how risky the investment is (beta x market risk premium). Higher beta = more extra return required.
Exam Tip: Gotchas
- CAPM only compensates investors for systematic (market) risk, not total risk. Unsystematic risk is assumed to be diversified away. If a question asks what return an investor should expect, use beta (systematic risk), NOT standard deviation (total risk).
CAPM Assumptions
CAPM assumes:
- Investors are rational and risk-averse
- Markets are efficient (all investors have the same information)
- No transaction costs or taxes
- Investors can borrow and lend at the risk-free rate
- All investors have the same time horizon
Beta
Beta measures a security's sensitivity to market movements - systematic (nondiversifiable) risk only.
- The market portfolio has a beta of 1.0 by definition
- Beta measures volatility relative to the market, not absolute volatility
| Beta | Meaning | Market moves +10%, stock moves... |
|---|---|---|
| > 1.0 | More volatile than the market (aggressive) | More than 10% |
| = 1.0 | Moves with the market (same volatility) | Exactly 10% |
| 0 < Beta < 1.0 | Less volatile than the market (defensive/conservative) | Less than 10% |
| = 0 | No correlation with the market (e.g., cash, T-bills) | 0% |
| Negative | Moves opposite to the market (rare; e.g., gold, inverse funds) | Negative direction |
- A stock with beta = 1.5 is expected to move 1.5x the market move (market up 10% -> stock up 15%)
- A stock with beta = 0.7 is expected to move 0.7x the market move (market down 10% -> stock down 7%)
- Portfolio beta = weighted average of individual asset betas
Exam Tip: Gotchas
- Beta measures systematic risk ONLY. A stock can have a low beta but high total risk (high standard deviation) if it has significant unsystematic risk. Beta does NOT capture company-specific risk. The exam tests whether you know that beta = systematic risk, standard deviation = total risk.
Alpha
Alpha measures the excess return of a portfolio relative to its CAPM-expected return. It indicates whether a portfolio manager added or destroyed value after adjusting for risk.
| Alpha Value | Interpretation |
|---|---|
| Positive (+) | Manager outperformed on a risk-adjusted basis |
| Zero (0) | Manager performed exactly as CAPM predicted |
| Negative (-) | Manager underperformed on a risk-adjusted basis |
Alpha Example
- Portfolio returned 14%, Risk-free rate: 3%, Market return: 10%, Beta: 1.2
Step 1: Calculate CAPM expected return
- E(R) = 3% + 1.2 x (10% - 3%) = 3% + 8.4% = 11.4%
Step 2: Calculate Alpha
- Alpha = 14% - 11.4% = +2.6% (manager outperformed)
Think of it this way: Alpha answers the question "Did the manager beat what we expected given the risk they took?" A manager who earns 12% when CAPM predicted 10% has positive alpha, even if another manager earned 14%.
Exam Tip: Gotchas
- Alpha is NOT simply the difference between portfolio return and market return. If a portfolio returned 14% and the market returned 10%, the alpha is NOT 4%. You must first calculate the CAPM-expected return using the portfolio's beta, THEN subtract. The exam specifically tests this mistake.
Standard Deviation
- Measures total risk (both systematic and unsystematic) of an investment
- Represents the dispersion of returns around the average (mean) return
- Higher standard deviation = wider range of possible outcomes = more risk
- Used in the Capital Market Line (total risk measure)
- Assumes returns follow a normal distribution (bell curve)
Normal Distribution and Standard Deviation:
| Range | Probability |
|---|---|
| Mean +/- 1 standard deviation | ~68% of returns |
| Mean +/- 2 standard deviations | ~95% of returns |
| Mean +/- 3 standard deviations | ~99.7% of returns |
- Example: Mean return = 10%, SD = 5%
- 68% chance returns fall between 5% and 15%
- 95% chance returns fall between 0% and 20%
Exam Tip: Gotchas
- Standard deviation measures TOTAL risk; beta measures only SYSTEMATIC risk. If a question asks about a well-diversified portfolio's risk, beta is the appropriate measure (unsystematic risk has been diversified away). If a question asks about a single stock's total risk, standard deviation is the appropriate measure.
R-Squared (Coefficient of Determination)
- Measures how much of a portfolio's movement is explained by the benchmark index
- Ranges from 0 to 1.0 (or 0% to 100%)
- Indicates how reliable beta is as a risk measure for the portfolio
| R-Squared Value | Interpretation |
|---|---|
| 1.0 (100%) | Portfolio moves perfectly with the index; beta is fully reliable |
| 0.70+ (70%+) | Generally considered high; beta is a meaningful measure |
| Below 0.70 | Low; beta may not be a reliable risk measure; use standard deviation instead |
- An S&P 500 index fund has R-squared near 1.0 (tracks the index almost perfectly)
- A sector fund or single stock will typically have a lower R-squared
- R-squared is the square of the correlation coefficient (r): R-squared = r-squared
Exam Tip: Gotchas
- If R-squared is low, beta is unreliable. The exam tests whether you know to use standard deviation (total risk) instead of beta when R-squared is low, because the benchmark does not explain the portfolio's movements. A high R-squared validates the use of beta as a meaningful risk measure.
Security Market Line (SML) vs. Capital Market Line (CML)
This is one of the highest-frequency gotchas on the exam.
| Feature | SML | CML |
|---|---|---|
| Risk measure (x-axis) | Beta (systematic risk) | Standard deviation (total risk) |
| Applies to | Any individual security or portfolio | Efficient portfolios only |
| Y-intercept | Risk-free rate | Risk-free rate |
| Slope | Market risk premium (Rm - Rf) | Sharpe ratio of market portfolio: (Rm - Rf) / sigma-m |
| Derived from | CAPM equation | Combining risk-free asset with market portfolio |
| Purpose | Shows required return for any given beta | Shows optimal risk-return tradeoff for portfolios |
Security Market Line (SML)
The SML is the graphical representation of CAPM, plotting expected return against beta.
- X-axis: Beta (systematic risk)
- Y-axis: Expected return
- Y-intercept: Risk-free rate (where beta = 0)
- Slope: Market risk premium (Rm - Rf)
SML Valuation Rule
- Above the SML = actual/forecasted return exceeds required return = undervalued = buy
- Below the SML = return is less than required for the beta = overvalued = sell
- On the SML = fairly valued
- Securities above the SML have positive alpha; securities below have negative alpha
Think of it this way: If a stock is above the SML, it's giving you more return than it should for its level of risk. That's a bargain. If it's below, you're not being compensated enough for the risk.
Exam Tip: Gotchas
- Above the SML = undervalued (good buy). Below the SML = overvalued (avoid or sell). "Above = overvalued" is a common wrong answer.
Capital Market Line (CML)
- Uses standard deviation (total risk), not beta
- Applies only to efficient portfolios, not individual securities
- The CML is tangent to the efficient frontier at the market portfolio
- Points left of the market portfolio = lending (holding some risk-free asset)
- Points right of the market portfolio = borrowing (leveraging)
- Only efficient portfolios (risk-free asset combined with the market portfolio in various weights) lie on the CML
- Portfolios below the CML are suboptimal
Exam Tip: Gotchas
- CML uses standard deviation; SML uses beta. CML evaluates efficient portfolios; SML evaluates all assets including individual securities.
Sharpe Ratio (Review)
- Covered in detail in the Portfolio Performance Measures unit, but referenced here because it connects to capital market theory
- Sharpe Ratio = (Portfolio Return - Risk-Free Rate) / Standard Deviation
- Measures return per unit of TOTAL risk (uses standard deviation)
- Higher Sharpe ratio = better risk-adjusted performance
- Related to the slope of the CML (the market portfolio's Sharpe ratio defines the CML slope)
Key Relationships Summary
| Concept | Risk Measure Used | Applies To |
|---|---|---|
| CAPM / SML | Beta (systematic risk) | Any security or portfolio |
| CML | Standard deviation (total risk) | Efficient portfolios only |
| Alpha | Beta (via CAPM) | Manager performance evaluation |
| Sharpe Ratio | Standard deviation (total risk) | Any portfolio |
| R-Squared | N/A (validates beta reliability) | Portfolio vs. benchmark |