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Beta Coefficient

Portfolio Theory · basic · CC-BY-4.0

The beta coefficient is a measure of a security's or portfolio's systematic risk — specifically, the sensitivity of its returns to changes in the returns of the market portfolio. A beta of 1.0 indicates that the security moves in perfect lockstep with the market; values above 1.0 indicate amplified market sensitivity, and values below 1.0 indicate dampened sensitivity.

Key takeaways

Explanation

Beta was formalized within the Capital Asset Pricing Model (CAPM) developed independently by Sharpe (1964), Lintner (1965), and Mossin (1966), building on Markowitz's mean-variance framework. In CAPM, the only risk that commands a return premium is systematic risk — non-diversifiable market risk — measured by beta. Idiosyncratic (company-specific) risk can be eliminated through diversification and therefore earns no premium in equilibrium.

Formally, beta is estimated via ordinary least squares (OLS) regression of the security's excess returns on the market portfolio's excess returns: R_i − R_f = α + β × (R_m − R_f) + ε. The slope coefficient β is the beta estimate. Conceptually, it represents the expected change in the security's excess return for each 1% change in the market's excess return. A stock with β = 1.5 is expected to gain 15% when the market gains 10%, and fall 15% when the market falls 10% (in expectation, not necessarily in any individual period).

Several adjustments and extensions are important in practice. First, beta estimates are sensitive to the measurement window — longer periods (5 years of monthly data) reduce estimation error but may include structural breaks; shorter periods capture more recent dynamics but are noisier. Second, the choice of market proxy matters: using the S&P 500 versus a global equity index versus a multi-asset benchmark produces different beta estimates. Third, for levered firms, raw (equity) beta reflects both business risk and financial risk; unlevering beta — removing the financial leverage effect — isolates the asset beta, which is more useful for cross-company comparisons in capital budgeting.

The Hamada equation provides the relationship between levered and unlevered beta: β_levered = β_unlevered × (1 + (1 − t) × D/E), where t is the corporate tax rate, D is total debt, and E is equity market value. This equation is fundamental to the WACC calculation in DCF valuation — an analyst building a DCF model for a private company uses the unlevered betas of comparable public companies, relevering to the target capital structure.

Formula

β = Cov(R_i, R_m) / Var(R_m) = ρ_{i,m} × (σ_i / σ_m)
Hamada Equation: β_levered = β_unlevered × [1 + (1 - t) × (D/E)]

Example

An analyst is valuing a private mid-size aerospace company with D/E ratio of 0.6 and a tax rate of 25%. Three comparable public aerospace companies have equity betas of 1.35, 1.45, and 1.25, with average D/E ratios of 0.4, 0.3, and 0.5 respectively and tax rates averaging 25%. Unlevered betas: 1.35/(1+0.75×0.4) = 1.04; 1.45/(1+0.75×0.3) = 1.19; 1.25/(1+0.75×0.5) = 0.94. Average unlevered beta ≈ 1.06. Relevered to the private company's D/E of 0.6: β_relevered = 1.06 × (1 + 0.75 × 0.6) = 1.54. Using this in CAPM with a risk-free rate of 4.5% and equity risk premium of 5.5%: required return on equity = 4.5% + 1.54 × 5.5% = 13.0%, used as the equity discount rate in the WACC calculation.

Related terms

Beta Calmar Ratio Capital Asset Pricing Model Capital Structure Discount Rate Diversification Dynamic Asset Allocation Equity Equity Index Equity Risk Premium Leverage Market Risk