###### Risk Tolerance

At the governance level, the risk appetite of the organization must be established.... **Read More**

Beta is a measure of systematic risk. Statistically, it depends on the degree of correlation between a security and the market.

We begin with the single index model using realized returns constructed as follows:

$$ R_i – R_f = β_i [R_i – R_f] + e_i $$

Which we can also formulate as:

$$ R_i = (1 – β_i ) R_f + β_i × R_m + e_i $$

Systematic risk depends on the correlation between the asset and the market. Beta can therefore be measured by examining the covariance between *R _{i}* and

$$ Cov(R_i, R_m) = Cov(β_i × R_m + e_i , R_m) $$

$$ Cov(R_i, R_m) = β_i Cov(R_m, R_m) + Cov(e_i , R_m) $$

$$ Cov(R_i, R_m) = β_i σ_m^2 + 0 $$

Note: *Cov(e _{i }, R_{m}) *= 0 because the error term is uncorrelated with the market. By rearranging the equation to solve beta, we have:

$$ βi = \frac { Cov(R_i, R_m )}{ σ_m^2} $$

Where \(Cov(R_i, R_m) = ρ_{ i,m} σ_i σ_m\) which when substituted into the equation simplifies to \(β_i= \frac{ρ_{ i,m} σ_i } {σ_m}\).

Beta provides a measurement of the sensitivity of the asset returns to the market as a whole. Aside from this, it captures the portion of the asset risk that cannot be diversified.

The variances and correlations required to calculate beta are usually determined using the historic returns for the asset and the market. A regression analysis can be performed. The analysis essentially plots the market returns on the x-axis and the security returns on the y-axis and then finds the “best fit” straight line through these points. The slope of the regression line is the measure of beta. Using return data over the prior 12 months tends to represent the current level of systematic risk of the security. However, this approach may be less accurate than a beta measured over 3 to 5 years given that a short-term event may impact the data.

It is important to recognize that irrespective of the data period, beta is an estimate of systematic risk based on the historical data and may not represent the future systematic risk.

A positive beta indicates that the asset moves in the same direction as the market, whereas a negative beta indicates the opposite.

The beta of a risk-free asset is zero because the covariance of the risk-free asset and the market is zero. The beta of the market is by definition 1 and most developed market stocks tend to exhibit high, positive betas.

QuestionIf the correlation between an asset and the market is 0.6, the standard deviation of the asset is 18% and the standard deviation of the market is 14%, what is the beta of the asset?

A. 0.77

B. 0.47

C. 0.99

SolutionThe correct answer is A.

\(β_i= \frac{ρ_{ i,m} σ_i } {σ_m}\)

\(β_i= \frac{0.6 × 0.18 } {0.14}\)

\(β_i= 0.77\)