The variance of return and standard deviation of return are alternative statistical measures that are used for measuring risk in investment. These statistics measure the extent to which returns are expected to vary around an average over time. The calculation of variance of a portfolio is a little more difficult than determining its expected return.
Risk of a Portfolio
The variance of return and standard deviation of return are
alternative statistical measures that are used for measuring risk in
investment. These statistics measure the extent to which returns are expected
to vary around an average over time. The calculation of variance of a portfolio
is a little more difficult than determining its expected return.
The variance or standard deviation of an individual security
measures the riskiness of a security in absolute sense. For calculating the
risk of a portfolio of securities, the riskiness of each security within the
context of the overall portfolio has to be considered.
This depends on their interactive risk, i.e. how the returns of a
security move with the returns of other securities in the portfolio and
contribute to the overall risk of the portfolio. This depends on their
interactive risk, i.e. how the returns of a security move with the returns of
other securities in the portfolio and contribute to the overall risk of the
portfolio.
Covariance is the statistical measure that indicates the
interactive risk of a security relative to others in a portfolio of securities.
In other words, the way security returns vary with each other affects the
overall risk of the portfolio.
The covariance between two securities X and Y may be calculated
using the following formula:
The calculation of covariance is illustrated below:
The covariance is a measure of how returns of two securities move
together. If the returns of the two securities move in the same direction
consistently the covariance would be positive. If the returns of the two
securities move in opposite direction consistently the covariance would be
negative. If the movements of returns are independent of each other, covariance
would be close to zero.
Covariance is an absolute measure of interactive risk between two
securities. To facilitate comparison, covariance can be standardized. Dividing
the covariance between two securities by product of the standard deviation of
each security gives such a standardised measure. This measure is called the
coefficient of correlation. This may be expressed as:
It may be noted from the above formula that covariance may be
expressed as the product of correlation between the securities and the standard
deviation of each of the securities. Thus,
The correlation coefficients may range from - 1 to 1. A value of -1
indicates perfect negative correlation between security returns, while a value
of +1 indicates a perfect positive correlation. A value close to zero would
indicate that the returns are independent.
The variance (or risk) of a portfolio is not simply a weighted
average of the variances of the individual securities in the portfolio. The
relationship between each security in the portfolio with every other security
as measured by the covariance of return has also to be considered. The variance
of a portfolio with only two securities in it may be calculated with the
following formula.
Portfolio standard deviation can be obtained by taking the square
root of portfolio variance.
Let us take an example to understand the calculation of portfolio
variance and portfolio standard deviation. Two securities P and Q generate the
following sets of expected returns, standard deviations and correlation
coefficient:
A portfolio is constructed with 40 per cent of funds invested in P
and the remaining 60 per cent of funds in Q.
The expected return of the portfolio is given by:
The variance of the portfolio is given by:
The standard deviation of the portfolio is:
The return and risk of a portfolio depends on two sets of factors
(a) the returns and risks of individual securities and the covariance between
securities in the portfolio, (b) the proportion of investment in each security.
The first set of factors is parametric to the investor in the sense
that he has no control over the returns, risks and covariances of individual
securities. The second sets of factors are choice variables in the sense that
the investor can choose the proportions of each security in the portfolio.