The Capital Asset Pricing Model (CAPM) is a theory from the 1960s. Its discoverer won the econ Nobel prize.
The intuition is:
Market risk is the biggest risk that a diversified investor faces.
The risk of each asset should be measured in terms of how much it contributes to market risk.
The risk premium of each asset should depend (linearly) on this measure of risk.
CAPM Formula
The CAPM formula is
\[\bar{r}_i - r_f = \beta_i(\bar{r}_m-r_f)\]
where \(r_m\) = market return and \(\beta_i\) is the slope of the regression line of \(r_i-r_f\) on \(r_m-r_f\).
Cost of equity capital
The CAPM is widely used to estimate expected returns to compute discount factors for corporate investment projects.
The return shareholders expect is \(r_f + \beta_i(\bar{r}_m - r_f)\).
This is the required return on equity capital for corporate projects.
The CAPM does not work well enough to use in an investments context.
Foundation of the theory
The hypothesis of the CAPM is that the market is a frontier portfolio, with borrowing rate = savings rate.
The rationale is that each investor chooses a frontier portfolio, which is the tangency portfolio with borrowing or saving.
So, the market is the tangency portfolio.
In the usual application in the U.S., the “market portfolio” is the U.S. stock market.
Deriving the CAPM
The equation for a frontier portfolio is \(kCw = \bar{r} - r_f1_n\).
If we imagine that we know \(C\) and \(w\), then this is an equation for the risk premia \(\bar{r}-r_f1_n\).
Specifying \(w\) = market, this equation is the CAPM.
The equation says that the marginal benefit of an asset (its risk premium) is proportional to its marginal contribution to the risk of the market portfolio.
This marginal contribution is measured by beta.
Beta
Beta is the slope in the regression:
\[r-r_{f}=\alpha + \beta(r_m-r_f)+e\]
where \(r_{m}\) = market return and \(e\) = zero-mean risk.
Beta answers this question:
if the market is up 1%, how much do we expect the asset to be up, all else equal?
e.g., \(\beta\) = 2 \(\Rightarrow\) we expect the asset to be up 2%.
The CAPM and the data
The CAPM doesn’t fit the data very well.
A simple example is industry returns. Average returns are mostly unrelated to betas.