Capital Asset Pricing Model (CAPM)
CAPM is a foundational model that estimates an asset's expected return as the risk-free rate plus its beta times the market's risk premium, linking expected reward to non-diversifiable risk.
The Capital Asset Pricing Model expresses the expected return of an asset as the risk-free rate plus beta multiplied by the equity risk premium (the expected market return minus the risk-free rate). Beta measures how sensitive the asset is to broad market movements: a beta of 1 moves with the market, above 1 amplifies it, and below 1 dampens it. The model's central claim is that investors are only compensated for systematic (market-wide) risk, because firm-specific risk can be diversified away for free; therefore only the part of an asset's risk that co-moves with the market deserves a premium.
CAPM matters because it gave finance its first clean, testable theory of how risk and return should be related, and it remains the backbone of corporate cost-of-capital estimates and performance evaluation. When you hear that a fund generated alpha, the implicit benchmark is usually CAPM's expected return; alpha is the excess return left over after accounting for the return the model says you should have earned given your beta. The model also underpins the Security Market Line, which plots expected return against beta.
CAPM has well-documented limitations. Empirically, beta alone explains less of the cross-section of returns than the theory predicts, which motivated multi-factor extensions such as the Fama-French models that add size, value, profitability, and other factors. Its assumptions (a single period, frictionless markets, and investors who agree on expectations) are simplifications. Still, as a baseline for separating skill from market exposure, it is indispensable.
On hedgewing.ai, the CAPM lens shows up in the platform's institutional risk analytics, which decompose returns into market exposure (beta) and genuine excess performance (alpha), and extend beyond single-factor CAPM into Fama-French factor analysis. This lets users see whether a strategy's results come from simply riding the market or from the model ensemble's actual predictive edge, an honest distinction that matters far more than a headline return figure.
Related terms
Beta · Alpha · Factor Analysis · Sharpe Ratio
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