Joachim Kuczynski, 04 November 2025
This article is about an unusual sight on the CAPM beta. It provides a derivation from linear regression with the method of least squares. Often the definition of CAPM beta seems to be very abstract. But from the perspective of this article`s approach it might be clearer.
We assume a data set of market return rates
and equity return rates
.
indicates the
-th of
data pairs.
and
are the arithmetic mean values of
and
. With the method of least squares we can make a linear regression that approximates the relationship with a linear function
.
(1) ![]()
The slope
of the linear regression function
is given by:
(2) 
The covariance of
and
is given by:
(3) 
The variance of
is given by:
(4) 
Substituting that in the expression for
leads to:
(5) ![]()
This is the same as beta (
) in the Capital Asset Pricing Model (CAPM). That means that
is the slope of the linear approximated relationship of equity return rate
and market return rate
using the method of least squares. In linear approximation we can state:
(6) ![]()
In my point of view this is a very important point to know when doing investment analysis and using CAPM. It provides an additional interpretation of
. This point of view is valid for all betas in general.
