How do you understand Investment Risk, and what statistical tools can be used to measure it?

Investment risk is the possibility that the actual return from an investment may be different from the expected return.

It reflects the uncertainty of an investment and the chance of earning lower returns or even losing money.

The following statistical tools are commonly used to measure investment risk:

Variance:

Variance measures how far the returns are spread from the average return. A higher variance indicates greater risk.

Standard Deviation:

Standard deviation is the square root of variance. It measures the fluctuation of returns around the average return. A higher standard deviation means a riskier investment.

Coefficient of Variation (CV):

The coefficient of variation measures the amount of risk for each unit of expected return. It is useful for comparing the risk of different investments.

Covariance and Correlation:

These tools show how the returns of two securities move in relation to each other. They help investors build diversified portfolios and reduce overall risk.

Beta (β):

Beta measures the risk of a stock compared with the overall market. A higher beta indicates higher market risk, while a lower beta indicates lower market risk.

In summary, investment risk refers to the uncertainty of returns. Statistical tools such as variance, standard deviation, coefficient of variation, covariance, correlation, and beta help investors measure and compare the level of investment risk.

Investment Banking, Module: A, 98th BPE 1(b)