Calculate expected return, Jensen's Alpha, and Security Market Line position using the Capital Asset Pricing Model. Essential for cost of equity, portfolio analysis, and identifying over- or undervalued assets.
Try an example:
Enter beta and other inputs to calculate expected return using CAPM.
E(Ri) = Rf + Beta x (Rm - Rf)
Where:
Hamada Equation (Levered Beta):
Beta_L = Beta_U x (1 + (1-T) x D/E)
Where:
The Capital Asset Pricing Model (CAPM) calculates an asset's expected return using the formula E(R) = Risk-Free Rate + Beta x Market Risk Premium. Beta measures systematic risk relative to the market. CAPM is the standard method for estimating cost of equity in corporate finance, feeding into WACC and DCF valuation models used by analysts and investment bankers worldwide.
CAPM is one of the foundational frameworks in modern finance, developed in the 1960s by William Sharpe, John Lintner, and Jan Mossin. The model describes the relationship between systematic risk and expected return for assets, particularly stocks. According to CFA Institute, CAPM remains essential for determining cost of equity in corporate finance and investment analysis.
The core insight of CAPM is that investors need to be compensated in two ways: time value of money (represented by the risk-free rate) and systematic risk (represented by beta multiplied by the market risk premium). The model assumes that investors hold diversified portfolios, so only systematic (non-diversifiable) risk matters for expected returns. Individual asset risk that can be eliminated through diversification does not command additional compensation.
In practical application, CAPM serves multiple purposes. Investment managers use it to evaluate portfolio performance through alpha calculation, comparing actual returns to CAPM-predicted returns. Corporate finance professionals use CAPM to estimate cost of equity for WACC calculations, which feeds into DCF valuation models. Despite its simplifying assumptions, CAPM provides an intuitive framework for understanding the risk-return tradeoff that underlies all investment decisions.
The Security Market Line (SML) represents CAPM graphically, plotting expected return against beta. In equilibrium, all securities should plot on the SML. Securities above the line offer excess returns (positive alpha) and may be undervalued, while securities below the line underperform on a risk-adjusted basis and may be overvalued. This framework helps investors identify potentially mispriced assets and construct portfolios that match their risk tolerance.
E(Ri) = Rf + Beta x (Rm - Rf)
This can also be written as:
Cost of Equity = Risk-Free Rate + (Beta x Market Risk Premium)
The theoretical return on an investment with zero risk. In practice, this is typically approximated using government bond yields. For US investments, the 10-year Treasury yield is commonly used. The choice should match your investment horizon - use shorter maturities for short-term analysis and longer maturities for long-term investments.
Beta measures an asset's sensitivity to market movements. It quantifies systematic risk - the portion of risk that cannot be diversified away. A beta of 1.0 indicates the asset moves with the market. Beta greater than 1.0 means higher volatility (growth stocks, tech), while beta less than 1.0 indicates lower volatility (utilities, consumer staples). Use the Industry Betas tab above to look up sector betas from Damodaran's dataset.
The additional return investors expect for bearing market risk instead of holding risk-free assets. Historical US market risk premium averages around 5-6%. Professor Aswath Damodaran publishes regularly updated implied equity risk premiums based on current market conditions.
Levered beta (equity beta) reflects both business risk and financial risk from debt. Unlevered beta (asset beta) isolates pure business risk. Use the Hamada equation to convert between them: Beta_L = Beta_U x (1 + (1-T) x D/E). Unlevered betas are useful when comparing companies with different capital structures or when re-levering for a target capital structure.
Both CAPM and APT are asset pricing models, but they differ fundamentally in approach. Understanding when to use each model helps practitioners choose the right tool for their analysis.
The Fama-French three-factor model (adding size and value factors) and five-factor model (adding profitability and investment factors) represent practical implementations of APT that have gained wide acceptance. The five-factor model explains 71-94% of cross-section return variance, compared to CAPM's single market factor. However, these models require more data and are harder to implement in practice.
A mid-cap SaaS company has a levered beta of 1.35 (typical for software, which ranges from 1.2-1.5 per Damodaran's January 2026 data). With a risk-free rate of 4.25% (US 10-year Treasury, April 2026) and a market risk premium of 5.5%:
Equity investors require at least 11.68% to compensate for tech-sector volatility. This cost of equity feeds into the WACC calculation, which serves as the discount rate in a DCF valuation. For a SaaS valuation, this higher cost of equity often counterbalances strong revenue growth.
A regulated electric utility has a beta of 0.58 (utilities typically range 0.5-0.8). Utilities carry lower betas because their regulated, stable cash flows are less sensitive to economic cycles.
At 7.44% cost of equity, utilities offer a lower hurdle rate, making them attractive for income investors. Pair this with the Dividend Yield Calculator to assess whether the stock's yield exceeds its CAPM-implied cost of equity.
A large-cap pharmaceutical company has beta of 0.95 (healthcare betas typically range 0.9-1.2), reflecting moderate correlation with the broader market.
At 9.48%, the cost of equity sits near the market average. Healthcare betas cluster around 1.0 because demand is relatively inelastic, though biotech companies can have betas above 1.5 due to binary clinical-trial outcomes. Compare this against the company's earnings per share growth rate to gauge whether the stock generates adequate shareholder return.
A large-cap equity fund with beta 1.2 returned 14% last year. According to the SPIVA Mid-Year 2025 Scorecard, 54% of actively managed large-cap US equity funds underperformed the S&P 500 in H1 2025.
Expected Return = 4.25% + 1.2 x 5.5% = 10.85%
Alpha = 14% - 10.85% = +3.15%
The fund generated positive alpha of 3.15%, outperforming its risk-adjusted benchmark. However, one year of alpha is not statistically significant. Over 15-year periods, roughly 90% of active funds underperform their benchmark according to S&P SPIVA data. Compare alpha across multiple years using the ROI Calculator to evaluate cumulative performance.
While CAPM provides a useful framework, it rests on several simplifying assumptions that may not hold in real markets. Understanding these limitations helps practitioners use the model appropriately.
CAPM assumes market beta captures all relevant systematic risk. Research shows that other factors (size, value, momentum, quality) also explain returns. Multi-factor models like Fama-French may provide better explanatory power.
Beta is estimated from historical data and changes over time. A company's beta may shift as its business evolves, capital structure changes, or market conditions vary. Using historical beta to predict future returns introduces estimation error.
There is no consensus on the correct market risk premium. Historical averages, forward-looking estimates, and survey data all yield different values. Small changes in MRP significantly impact expected return calculations.
CAPM assumes efficient markets where prices reflect all available information. Behavioral finance research documents systematic biases that cause prices to deviate from fundamental values, potentially invalidating CAPM predictions.
The model assumes frictionless markets with no transaction costs, taxes, or restrictions on short selling. In practice, these frictions affect actual returns and may prevent arbitrage that would otherwise eliminate mispricings.
CAPM feeds directly into other investment analysis tools. Use your CAPM-derived cost of equity as an input to the WACC Calculator, then apply that discount rate in a DCF valuation. Compare a project's IRR against the CAPM hurdle rate to decide whether to invest. For equity screening, pair CAPM with the P/E Ratio Calculator and Dividend Yield Calculator to identify undervalued income stocks.
CAPM calculates expected return as the sum of risk-free rate and a risk premium proportional to beta. Higher beta means higher required return to compensate for greater systematic risk.
Beta measures systematic risk - the sensitivity of an asset's returns to market movements. Diversifiable (idiosyncratic) risk is not compensated because it can be eliminated through portfolio diversification. When comparing projects rather than securities, use the CAPM-derived hurdle rate against the risk-adjusted return to determine whether a project meets its required threshold.
The Security Market Line (SML) graphs expected return against beta. Securities above the SML have positive alpha (outperforming), while securities below have negative alpha (underperforming).
CAPM is widely used to estimate the cost of equity component within WACC calculations and to set the discount rate in DCF models. Despite limitations, it remains the standard model for practitioners due to its simplicity and intuitive framework.
Industry betas provide benchmarks when company-specific beta is unavailable. Use unlevered betas to compare companies with different capital structures, then re-lever for your target capital structure.
Calculate OER and NOI for real estate properties
Calculate capitalization rate and property value
Calculate gross and net rental yield
Estimate property taxes and effective rates
Rental Property Guide
In-depth guide with examples, benchmarks, and interactive calculators