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Capital Asset Pricing Model

Calculate expected returns and understand systematic risk

⏱️ 27 min8 interactions

1. The Risk-Return Trade-off

Why do stocks return more than Treasury bonds? CAPM (Capital Asset Pricing Model) answers this with elegant simplicity: higher risk = higher expected return. Developed by William Sharpe in 1964, CAPM revolutionized how investors price risk and became the foundation of modern portfolio theory.

💡 Core Formula

Expected Return = Risk-Free Rate + Beta × Market Risk Premium
E(R) = Rf + β × (Rm - Rf)

Beta (β) measures how much a stock moves with the market. Beta = 1 means it moves exactly with the market. Beta > 1 is more volatile (tech stocks). Beta < 1 is less volatile (utilities). The formula tells you the minimum return you should demand for taking on that level of systematic risk.

🧮 Interactive: CAPM Calculator

3%
10-year Treasury rate
10%
Historical S&P 500 ~10%
1.20
0 = no risk, 1 = market risk
Risk-Free Rate (Rf)3%
Market Risk Premium (Rm - Rf)7.0%
Beta (β)1.20
Expected Return11.40%
3% + 1.20 × 7.0%
Risk Level
High
vs Market Return
Higher
Premium over Rf
+8.40%

2. Decoding Beta

📊 Understanding Beta: The Core of CAPM

Beta (β) is the heart of CAPM. It quantifies how much a security moves relative to the overall market. If the S&P 500 rises 10% and your stock rises 15%, your beta is 1.5. If it only rises 5%, your beta is 0.5. Beta separates risk into two categories: systematic (market-wide, unavoidable) and unsystematic (company-specific, diversifiable). CAPM only prices systematic risk because rational investors can eliminate unsystematic risk through diversification.

Systematic vs Unsystematic Risk

Total risk = Systematic risk + Unsystematic risk. Systematic risk affects all securities (recessions, interest rates, inflation, wars). Unsystematic risk affects individual companies (CEO scandal, product failure, lawsuit). Diversification across 20-30 stocks eliminates ~90% of unsystematic risk. What remains is systematic risk, measured by beta.

Systematic Risk (Beta)
Market-wide: Affects all stocks simultaneously (correlation = high)
Cannot diversify away: Holding 100 stocks doesn't reduce beta
Priced by markets: Investors demand compensation (risk premium)
Examples: 2008 crisis (-37%), COVID crash (-34%), Fed rate hikes
Unsystematic Risk (Diversifiable)
Company-specific: Affects one stock, not the market (correlation = low)
Can diversify away: Holding 20+ stocks reduces to ~10% of total risk
Not priced: Markets don't pay for risk you can eliminate
Examples: Boeing 737 MAX crashes, Enron fraud, Facebook outages

Why CAPM only prices beta: If you can eliminate unsystematic risk for free (via diversification), the market won't pay you for bearing it. You're only compensated for systematic risk (beta) because it's unavoidable. A stock with high total volatility but low beta (β=0.5) has a lower expected return than a stable stock with high beta (β=1.5).

How Beta is Calculated

Beta measures the covariance between a stock's returns and market returns, divided by the market's variance. It's typically calculated using 3-5 years of monthly or weekly return data. The formula captures how much a stock moves with the market, normalized by how much the market moves with itself.

Beta Formula
β = Cov(Stock Returns, Market Returns) / Var(Market Returns)
Or equivalently: β = (Correlation × Stock Std Dev) / Market Std Dev
Calculation Example: Tech Stock Beta
PeriodStock ReturnMarket Return
Month 1+8%+5%
Month 2-12%-8%
Month 3+15%+10%
Month 4-6%-4%
Covariance:0.0144 (stock moves with market)
Market Variance:0.0096
Beta:0.0144 / 0.0096 = 1.5

Interpretation: This stock has β = 1.5, meaning it typically moves 1.5x the market. When the market rises 10%, expect this stock to rise 15%. When the market falls 10%, expect it to fall 15%. The amplification works both ways—higher returns in bull markets, steeper losses in bear markets.

Interpreting Beta Values

β > 1 (High Beta)Aggressive, Volatile

Amplifies market movements. More volatile than the market. Typical for growth stocks, tech, small caps, emerging markets. Higher expected returns, but higher risk.

Examples
Tesla (β≈2.0), Nvidia (β≈1.7), Small-cap ETF (β≈1.3)
Investors
Young, risk-seeking, long time horizon, high income
β ≈ 1 (Market Beta)Market Risk, Average

Moves in line with the market. Average systematic risk. Typical for diversified portfolios, blue chips, large-cap blend funds. Expected return = market return.

Examples
S&P 500 ETF (β=1.0), Apple (β≈1.2), Johnson & Johnson (β≈0.9)
Investors
Balanced, moderate risk tolerance, typical retirement accounts
β < 1 (Low Beta)Defensive, Stable

Dampens market movements. Less volatile than the market. Typical for utilities, consumer staples, bonds, REITs. Lower expected returns, but more stability.

Examples
Procter & Gamble (β≈0.5), Duke Energy (β≈0.4), Bond ETF (β≈0.2)
Investors
Conservative, risk-averse, near retirement, capital preservation
β ≈ 0 (Zero Beta)Market-Neutral, No Correlation

No correlation with market movements. Systematic risk = 0. Expected return = risk-free rate. Examples: T-bills, money market funds, some hedge fund strategies.

Examples
3-month T-bills, FDIC savings, market-neutral hedge funds
Investors
Short-term parking, emergency funds, zero risk tolerance
β < 0 (Negative Beta)Inverse Correlation, Rare

Moves opposite to the market. When market falls, these assets rise. Very rare for stocks. Gold sometimes exhibits negative beta during crises (flight to safety). VIX derivatives have negative beta by design.

Examples
Gold (β≈-0.1 to 0), inverse ETFs, some put options, VIX futures
Use Case
Portfolio hedging, crisis protection, tail risk management

Historical Beta Examples: Crisis Stress Tests

Beta reveals its true nature during market crashes. High-beta stocks crash harder. Low-beta stocks hold up better. Here's how different beta categories performed during three major crises:

Asset TypeBeta2008 Crisis2020 COVID2022 Bear
Tech Stocks (High Beta)1.5-2.0-55%-40%-35%
S&P 500 (Market)1.0-37%-34%-18%
Utilities (Low Beta)0.4-0.6-20%-15%-5%
Treasury Bonds0.1-0.2+5%+8%-12%*
Gold-0.1 to 0+5%+25%-1%

*2022 exception: Bonds fell due to Fed rate hikes (duration risk), not market beta. Shows CAPM's limitation—it doesn't capture interest rate risk for bonds. Data: Peak-to-trough returns during crisis periods. Tech = NASDAQ 100, Market = S&P 500, Utilities = XLU sector.

Beta Limitations & Considerations

⚠️ Beta is Historical, Not Predictive

Calculated from past returns (3-5 years). Company fundamentals change: Tesla's beta dropped from 2.0 (2018) to 1.3 (2023) as it matured. Past beta ≠ future beta. Use with caution for growth companies.

⚠️ Time Period Matters

1-year beta ≠ 5-year beta. Short windows are noisy. Long windows include outdated data. Financial data providers use different lookback periods: Bloomberg (2Y weekly), Yahoo (5Y monthly). Check methodology.

⚠️ Beta Changes with Leverage

Unlevered beta (asset risk) vs Levered beta (equity risk). Debt amplifies beta: βlevered = βunlevered × [1 + (1-tax rate) × Debt/Equity]. If company takes on more debt, equity beta rises even if business risk is unchanged.

⚠️ Assumes Linear Relationship

Beta assumes constant correlation with market across all conditions. Reality: correlations spike to 1.0 during crashes (everything falls together). "Diversification fails when you need it most." Downside beta often > upside beta.

📊 Interactive: Beta in Action

+10%
Tech Stock
Beta: 1.8
+18.0%
Market Index
Beta: 1.0
+10.0%
Utility Stock
Beta: 0.5
+5.0%
Treasury Bond
Beta: 0.0
0.0%

🏭 Interactive: Sector Betas

Technology Sector

Typical Beta Range
1.3 - 1.8
Expected Return (Current Inputs)
13.5%
💻 Tech stocks amplify market moves. When the market rises 10%, tech stocks might rise 15%. Great in bull markets, painful in bear markets.

3. The Security Market Line

📈 The Security Market Line: Risk-Return Relationship

The Security Market Line (SML) is the graphical representation of CAPM. It plots expected return (Y-axis) against beta (X-axis). Every asset should fall on this line in an efficient market. Assets above the line are undervalued (offering excess return for their risk). Assets below are overvalued (insufficient return for their risk). The SML is the tool professional investors use to identify mispriced securities and generate alpha.

SML Equation & Components

Security Market Line Equation
E(Ri) = Rf + βi × (Rm - Rf)
Y-Intercept: Risk-Free Rate (Rf)

Where the line crosses Y-axis (β=0). Typically 10-year Treasury yield (3-4%). The minimum return with zero systematic risk. All assets must offer at least Rf or investors buy Treasuries instead.

Slope: Market Risk Premium (Rm - Rf)

The reward per unit of beta. Historical S&P 500 ≈10%, minus Rf ≈3% = 7% premium. Rises during recessions (investors demand more), falls during booms (risk appetite increases).

X-Axis: Beta (βi)

Systematic risk of asset i. β=1 gives market return. β=2 gives market return + 1× market premium. Beta determines your position along the line.

Y-Axis: Expected Return E(Ri)

The return investors should require for holding asset i. Not the actual return (that's realized later), but the fair compensation given the risk. Used for valuation and investment decisions.

SML Calculation Example
Given: Risk-free rate (10Y Treasury)Rf = 4%
Given: Market return (S&P 500 expected)Rm = 11%
Calculate: Market risk premium11% - 4% = 7%
Stock A: β = 1.5 (Tech stock)
Expected return:4% + 1.5 × 7% = 14.5%
Stock B: β = 0.6 (Utility stock)
Expected return:4% + 0.6 × 7% = 8.2%

Alpha: Measuring Mispricing

Alpha (α) is the difference between a security's actual return and its CAPM-expected return. It measures performance beyond what beta predicts. Positive alpha = outperformance (undervalued). Negative alpha = underperformance (overvalued). Active managers hunt for positive alpha, but most fail—only 20% beat CAPM benchmarks long-term after fees.

Jensen's Alpha Formula
α = Actual Return - [Rf + β × (Rm - Rf)]
Or simplified: α = Actual Return - Expected Return (CAPM)
Positive Alpha
α > 0

Security delivers more return than CAPM predicts. Undervalued— market hasn't fully priced its potential. Buy signal for value investors.

Example: Stock expected 12% (β=1.2), actually returns 15%. Alpha = +3%. Manager added value beyond market exposure.
Zero Alpha
α = 0

Security performs exactly as CAPM predicts. Fairly valued— no mispricing. Efficient market equilibrium. Index funds target zero alpha.

Example: Stock expected 10%, actually returns 10%. Alpha = 0%. You got exactly the risk-adjusted return you should.
Negative Alpha
α < 0

Security delivers less return than CAPM predicts. Overvalued— market has overpriced it. Sell signal or avoid.

Example: Stock expected 14%, actually returns 9%. Alpha = -5%. Manager destroyed value. Better off in index fund.

Why alpha is hard to generate: If positive alpha exists, arbitrageurs buy the undervalued asset, driving price up until alpha = 0. Negative alpha triggers selling, driving price down until fair value. Markets are reasonably efficient, so persistent alpha is rare. Transaction costs, taxes, and fees eat most alpha.

Identifying Undervalued vs Overvalued Securities

Plot securities on the SML chart. Those above the line offer excess return (undervalued). Those below offer insufficient return (overvalued). The distance from the line = alpha magnitude. This is how portfolio managers screen thousands of stocks for investment opportunities.

Valuation Analysis Example
Stock X (Undervalued - Above SML)
Beta: 1.3
Expected Return (CAPM): 13%
Actual/Forecast Return: 17%
Alpha: +4%

Verdict: BUY. Market underpricing by 4%. Either stock has hidden value (strong fundamentals not yet recognized) or similar risk securities trade at 17%. Opportunity for excess returns.

Stock Y (Fairly Valued - On SML)
Beta: 0.9
Expected Return (CAPM): 10.3%
Actual/Forecast Return: 10.3%
Alpha: 0%

Verdict: HOLD. Fairly priced. No excess return opportunity. Suitable for passive portfolio allocation, but not a value opportunity. Index fund exposure is just as good.

Stock Z (Overvalued - Below SML)
Beta: 1.6
Expected Return (CAPM): 15.2%
Actual/Forecast Return: 11%
Alpha: -4.2%

Verdict: SELL/AVOID. Market overpricing by 4.2%. Taking 1.6x market risk but only getting 11% return—worse than risk-adjusted fair value. Either price will fall, or it's riskier than beta suggests.

Practical application: Compare your portfolio holdings to SML. Sell assets below the line (negative alpha), buy assets above (positive alpha), hold assets on the line. Over time, this rebalancing should generate excess returns if your alpha estimates are correct.

Real-World Alpha Examples

Warren Buffett (Berkshire Hathaway)
1965-2023 Track Record
Annual Alpha
+10%

Berkshire returned ~20% annually vs S&P 500's ~10%. Beta ≈0.9 (lower volatility than market). Alpha = 20% - [3% + 0.9×7%] = 20% - 9.3% = +10.7%. Sustained positive alpha for 58 years—statistically impossible without skill.

Why: Value investing (buying undervalued assets), long holding periods, leverage via insurance float, buying entire businesses (control premium).
Peter Lynch (Fidelity Magellan Fund)
1977-1990 Management Period
Annual Alpha
+13%

Magellan returned ~29% annually vs S&P 500's ~16%. Beta ≈1.1 (slightly more volatile). Alpha = 29% - [3% + 1.1×13%] = 29% - 17.3% = +11.7%. Best mutual fund track record in history. $18M fund → $14B under his tenure.

Why: Growth at reasonable price (GARP), thorough research (visited 500+ companies/year), identified multi-baggers early (Dunkin' Donuts, Taco Bell, Chrysler).
Average Active Mutual Fund
2000-2020 Average Performance
Annual Alpha
-1.5%

Average fund returned ~7% vs S&P 500's ~8.5%. Beta ≈1.0 (match market exposure). Alpha = 7% - [2% + 1.0×6.5%] = 7% - 8.5% = -1.5%. Negative alpha after fees. Only 20% of funds beat index.

Why: Management fees (1-2% annually), transaction costs, taxes, behavioral errors, closet indexing (hold similar stocks as benchmark but charge active fees).

SML vs Efficient Frontier vs CML

Three related but distinct concepts in portfolio theory. Understanding their differences prevents confusion:

Security Market Line (SML)
X-axis: Beta (systematic risk)
Y-axis: Expected return
Shows: Individual securities
Use: Valuation (alpha calculation)
Formula: E(R) = Rf + β(Rm - Rf)
Efficient Frontier
X-axis: Total risk (std deviation)
Y-axis: Expected return
Shows: Portfolio combinations
Use: Portfolio optimization
Concept: Markowitz diversification
Capital Market Line (CML)
X-axis: Total risk (portfolio std dev)
Y-axis: Expected return
Shows: Efficient portfolios only
Use: Asset allocation (stocks/bonds)
Special: Tangent from Rf to market

📈 Interactive: Security Market Line

Beta (β)Expected Return (%)00.511.52RfMarketYour Stock
The SML shows the risk-return relationship. All assets should fall on this line in an efficient market.
SML Slope (Market Risk Premium)
7.0%
Extra return per unit of beta
Y-Intercept (Risk-Free Rate)
3%
Minimum return with zero risk

💰 Interactive: Is a Stock Fairly Priced?

Tech Startup
Beta: 1.8 | Sector: tech
OVERVALUED
Required Return (CAPM)
15.60%
Actual Return
16.69%
Alpha (α)
+1.09%
Blue Chip
Beta: 1 | Sector: finance
UNDERVALUED
Required Return (CAPM)
10.00%
Actual Return
8.62%
Alpha (α)
-1.38%
Utility Co
Beta: 0.4 | Sector: utility
OVERVALUED
Required Return (CAPM)
5.80%
Actual Return
7.50%
Alpha (α)
+1.70%
Growth Stock
Beta: 1.5 | Sector: tech
OVERVALUED
Required Return (CAPM)
13.50%
Actual Return
14.94%
Alpha (α)
+1.44%
Defensive Stock
Beta: 0.6 | Sector: utility
UNDERVALUED
Required Return (CAPM)
7.20%
Actual Return
6.38%
Alpha (α)
-0.82%
Alpha (α) = Actual Return - Expected Return (CAPM). Positive alpha = stock outperforms expectations (undervalued). Negative alpha = underperforms (overvalued). Active managers hunt for positive alpha opportunities.

4. Building Portfolios with CAPM

🎯 Portfolio Beta & Asset Allocation

CAPM isn't just for analyzing individual stocks—it's a powerful tool for building entire portfolios. Portfolio beta equals the weighted average of individual asset betas. This lets you dial risk up or down by adjusting allocations. Want market-level risk? Target β=1.0 (60% stocks, 40% bonds). Want half the volatility? Target β=0.5 (30% stocks, 70% bonds). CAPM makes portfolio construction mathematical and repeatable.

Portfolio Beta Calculation

Portfolio beta is the weighted sum of individual betas. Each asset's weight (% of portfolio value) multiplies its beta. Sum them up. This aggregate beta tells you how your entire portfolio will move relative to the market. It's the foundation for risk budgeting and strategic asset allocation.

Portfolio Beta Formula
βportfolio = w1β1 + w2β2 + ... + wnβn
Where w = weight (%), β = beta of each asset, and Σw = 100%
Portfolio Beta Example: Balanced Portfolio
AssetWeightBetaContribution
S&P 500 Index45%1.000.45
Tech Stocks15%1.500.225
Treasury Bonds30%0.200.06
REITs10%0.800.08
Total Portfolio100%β = 0.815

Interpretation: This portfolio has 81.5% of the market's systematic risk. When S&P 500 moves 10%, expect this portfolio to move 8.15%. Expected return (using CAPM with Rf=3%, Rm=10%): 3% + 0.815×7% = 8.7%.

Key insight: You control portfolio beta through asset allocation, not by timing the market or picking stocks. Want higher returns? Increase weight of high-beta assets (stocks, growth). Need lower volatility? Increase weight of low-beta assets (bonds, cash, utilities). Beta is your risk dial.

Strategic vs Tactical Asset Allocation

Strategic allocation sets long-term target weights based on risk tolerance and time horizon (buy and hold). Tactical allocation makes short-term bets by deviating from strategic targets (market timing). CAPM supports both, but empirical evidence favors strategic allocation—90% of portfolio returns come from asset allocation policy, not security selection or timing.

Strategic Asset Allocation
Long-term focus: Set target weights, rebalance back periodically (quarterly/annually)
CAPM-based: Choose β based on risk tolerance (Conservative 0.5, Moderate 1.0, Aggressive 1.5)
Passive: No market timing. Buy index funds, sleep well. Warren Buffett recommends this for 90% of investors
Low cost: Minimal trading (0.1-0.3% annual turnover), low fees, tax efficient
Example: 60/40 portfolio (β≈0.8). Rebalance when stocks drift to 65% or 55%. Maintains consistent risk profile over decades.
Tactical Asset Allocation
Short-term bets: Deviate from strategic targets based on market views (overweight tech if bullish)
Requires skill: Must forecast market movements better than CAPM. Most professionals fail at this
Active management: Frequent trading, higher costs (1-2% annual turnover + fees)
Tax drag: Short-term capital gains (ordinary income rates), lower after-tax returns
Example: Shift 60/40 to 80/20 (β≈1.1) if you predict bull market. Back to 60/40 if bearish. Requires being right consistently—hard to do.

Evidence favors strategic: Brinson study (1986, updated 1991) showed 91.5% of portfolio return variation comes from asset allocation policy, 4.6% from security selection, 1.8% from market timing. Message: Set your target beta, stick to it, rebalance mechanically. Don't try to time markets.

Age-Based Portfolio Rules

Traditional rule: Stock allocation = 100 - age. Modern version: 120 - age (accounts for longer lifespans). As you age, reduce beta (shift from stocks to bonds) because your time horizon shrinks and you can't recover from bear markets. CAPM provides the math—younger investors can handle higher beta for higher expected returns.

Age 25-35
Age-Based
Stocks:90%
Bonds:10%
Portfolio β:≈1.4
E(R):12.8%

Rationale: 30-40 year horizon. Can ride out multiple bear markets. High beta captures long-term equity premium.

Age 40-55
Mid-Career
Stocks:70%
Bonds:30%
Portfolio β:≈0.9
E(R):9.3%

Rationale: 15-25 year horizon. Balance growth and stability. Can still recover from one major crash.

Age 55-65
Pre-Retirement
Stocks:50%
Bonds:50%
Portfolio β:≈0.6
E(R):7.2%

Rationale: 5-15 year horizon. Preservation > growth. Can't afford 30-50% drawdown before retirement.

Age 65+
Retirement
Stocks:30%
Bonds:70%
Portfolio β:≈0.35
E(R):5.5%

Rationale: Living off portfolio. Minimize volatility. 30% stocks hedge inflation over 20-30 year retirement.

Target-date funds automate this: Vanguard Target Retirement 2060 (young investors) has β≈1.0 (90% stocks). Target Retirement 2025 (near retirees) has β≈0.4 (35% stocks). They automatically reduce beta as you age—glide path to lower risk. CAPM in action.

Rebalancing Strategies

Over time, winning assets grow and drift your portfolio beta above target (risk creep). Losing assets shrink and drift it below target. Rebalancing sells winners, buys losers, and restores target beta. It's a disciplined contrarian strategy that enhances returns by buying low and selling high mechanically.

Rebalancing Example: Bull Market Drift
January 1: Target Allocation (β = 0.80)
Stocks (β=1.2): 60% = $60K
Bonds (β=0.2): 40% = $40K
Total: $100K
December 31: After Market Rise (No Rebalancing)
Stocks +20%: 67% = $72K
Bonds +5%: 33% = $42K
Total: $108K
Portfolio β drifted to 0.87 (0.67×1.2 + 0.33×0.2). Risk increased 9%!
December 31: After Rebalancing
Sell $7.2K stocks → Stocks: 60% = $64.8K
Buy $7.2K bonds → Bonds: 40% = $43.2K
Total: $108K
Portfolio β restored to 0.80 (0.60×1.2 + 0.40×0.2). Risk controlled.

Benefit: Sold stocks near highs ($72K → $64.8K), bought bonds near lows ($40K → $43.2K). If market crashes next year, you're protected. Studies show rebalancing adds 0.3-0.5% annual return over buy-and-hold.

Time-Based Rebalancing

Rebalance on fixed schedule: quarterly, semi-annually, or annually. Simple, disciplined, tax-lot friendly. Most common for 401(k)s and IRAs.

Pro: Easy to implement. Con:May rebalance when drift is small (unnecessary trading costs).
Threshold-Based Rebalancing

Rebalance only when allocation drifts beyond tolerance (e.g., ±5%). If target is 60/40, trigger at 65/35 or 55/45. More efficient—only trade when necessary.

Pro: Reduces trading. Con:Requires monitoring. May miss threshold in volatile markets.
Cashflow Rebalancing

Use new contributions to rebalance without selling. If stocks are overweight, direct all new money to bonds until balanced. Tax-efficient, no capital gains.

Pro: Zero tax impact. Con:Requires ongoing contributions. Slow if portfolio is large.

Capital Market Line: Combining Risky & Risk-Free Assets

The Capital Market Line (CML) shows the best possible portfolios: combinations of the market portfolio (β=1.0) and the risk-free asset (β=0). By mixing these two, you can achieve any desired beta. Want β=0.5? Hold 50% market, 50% T-bills. Want β=1.5? Use leverage—borrow at risk-free rate to buy 150% market exposure.

Portfolio Beta = (% in Market) × 1.0
0% market, 100% T-billsβ = 0
E(R) = Rf = 3%
50% market, 50% T-billsβ = 0.5
E(R) = 3% + 0.5×7% = 6.5%
100% market, 0% T-billsβ = 1.0
E(R) = 3% + 1.0×7% = 10%
Using Leverage (Margin)
150% market, -50% T-billsβ = 1.5
E(R) = 3% + 1.5×7% = 13.5%
200% market, -100% T-billsβ = 2.0
E(R) = 3% + 2.0×7% = 17%

⚠️ Leverage amplifies losses. If market falls 30%, your 2x leveraged portfolio falls 60%. Margin calls can force liquidation at worst times.

📊 Interactive: Portfolio Beta Calculator

60%
0% (All Bonds)50%100% (All Stocks)
Stocks (β = 1.2)
60%
Bonds (β = 0.2)
40%
Portfolio Beta
0.80
Weighted average
Expected Return
8.60%
Using CAPM
Risk Level
Medium
Based on allocation

🎯 Interactive: Match Your Risk Profile

Recommended Portfolio for Moderate Investor

stocks
60%
bonds
35%
cash
5%
Target Portfolio Beta
1
Expected Return
10.0%

🔄 Interactive: Asset Type Comparison

tech Sector
Beta: 1.50
Expected Return
13.50%
finance Sector
Beta: 1.20
Expected Return
11.40%
utility Sector
Beta: 0.60
Expected Return
7.20%

5. Key Takeaways

📐

CAPM is the Baseline

CAPM tells you the minimum return you should expect for a given level of systematic risk. If a stock's expected return is below CAPM, it's overpriced. If above, it might be underpriced (positive alpha) or riskier than beta suggests.

📊

Beta Measures Systematic Risk

Beta captures how much a stock moves with the market. β > 1 amplifies market swings (tech stocks). β < 1 dampens them (utilities). β = 0 has no market correlation (gold, T-bills). You can't diversify away beta—it's the risk you're paid to bear.

💎

Hunt for Positive Alpha

Alpha = Actual Return - CAPM Expected Return. Active managers try to generate positive alpha by finding mispriced securities. Most fail—studies show only 20% of active funds beat CAPM benchmarks long-term after fees. Positive alpha is rare and hard to sustain.

⚖️

Portfolio Beta is Weighted Average

Your portfolio's beta = weighted average of individual betas. 60% stocks (β=1.2) + 40% bonds (β=0.2) = portfolio beta of 0.8. This lets you dial risk up or down. Young investors can handle higher beta. Retirees should target lower beta for stability.

📉

CAPM Has Limitations

CAPM assumes markets are efficient, investors are rational, and beta captures all risk. Reality: markets aren't always efficient, behavioral biases exist, and other factors (size, value, momentum) also drive returns. Use CAPM as a starting point, not gospel.

🎯

Match Risk to Goals

Use CAPM to build portfolios that match your timeline and risk tolerance. Need money in 2 years? Target low beta (0.3-0.5). Saving for retirement in 30 years? Higher beta (1.2-1.5) captures long-term growth. CAPM helps you quantify the risk-return trade-off.