###### Behavioral Finance and Market Behaviour

Some persistent market patterns such as momentum, value, bubbles, and crashes impact market... **Read More**

Given as asset systematic risk, the expected return can be computed using the capital asset pricing model. The CAPM result is usually used as a first estimate of return. In addition, it is used in capital budgeting and the determination of economic feasibility. Besides providing security expected returns, CAPM can be used for estimating the cost of capital and setting insurance premiums.

The Security Market Line (SML) is the graphical representation of the CAPM with beta reflecting systematic risk on the x-axis and expected return on the y-axis. The SML intersects the y-axis at the risk-free rate, and the slope of the line is the market risk premium, R_{m} – R_{f}.

The SML is formulated as follows:

$$E(R_i) = R_f + \beta_i [E(R_m) – R_f]$$

Where \(\beta_i= \frac{\rho_{ i,m} \sigma_i } {\sigma_m}\)

With data for the risk-free rate, the market expected return, the beta of a security (or its correlation with the market), and the standard deviations of the security and the market, we can calculate the expected return using CAPM.

QuestionAssume the risk-free rate is 2%, a security has a correlation of 0.8 with the market index and a standard deviation of 16%, while the standard deviation of the market is 12%. If the market expected return is 8%, what is the security’s expected return?

A. 10.56%.

B. 5.60%.

C. 8.42%.

SolutionThe correct answer is

C.\(E(R_i) = R_f + \beta_i [E(R_m) – R_f]\)

Where \(\beta_i= \frac{\rho_{ i,m} \sigma_i } {\sigma_m}\)

Step 1: Find the Beta\beta

_{i }= (0.8 × 0.16) / 0.12 = 1.07Step 2: Find the expected return

E(

R) = 2% + 1.07 × (8% – 2%) = 8.42%_{i}