Part a:
The formula for standard deviation is given by:
Portfolio standard deviation = wiσi + wjσj
wi = the portfolio weight of the asset i
wj = the portfolio weight of the asset j
σi = the standard deviation of returns on asset i
σj = the standard deviation of returns on asset j
We are given that, in this investment 50% weightage is given to
treasury bill and 50% to stock P.
Standard deviation of the treasury bill is zero and standard
deviation of stock P is 12%
Portfolio standard deviation = 50%*0%+50%*12%=50/100*12/100=6/100=.06=6.00%
Part b:
As per question stock Q and R are given 50% weightage each.
Standard deviation of Q is 25%=.25 and standard deviation of R is
24%=.24
So, (weight of Q)*(Standard deviation of Q)=.5*.25=.125
And, (weight of R)*(Standard deviation of R)=.5*.24=.12
Explanation:
In a two asset portfolio Var(RiRj) = wi^2σi^2 + wj^2σj^2 + 2wiwjCov(Ri,Rj)
wi = the portfolio weight of the asset i
wj = the portfolio weight of the asset j
σi = the standard deviation of returns on asset i
σj = the standard deviation of returns on asset j
Var(RiRj) = Variance of the two asset portfolio returns.
Cov(Ri,Rj) = the covariance between the returns on the two
assets
This covariance can be further simplified as
Cov(Ri,Rj)=σ(i)σ(j)*corr(Ri,Rj)
corr(Ri,Rj) = the correlation between the returns on asset i and
j
σi = the standard deviation of returns on asset i
σj = the standard deviation of returns on asset j
On simplifying variance equations by substituting the value of
Cov(Ri,Rj) with σ(i)σ(j)*corr(Ri,Rj), we get
Var(RiRj) = wi^2σi^2 + wj^2σj^2 + 2wiwjσ(i)σ(j)*corr(Ri,Rj)
Perfect positive correlation (when
corr(Ri,Rj)=1): In this case the portfolio standard
deviation is the weighted average of the standard deviation on
individual assets.
Var(RiRj) = wi^2σi^2 + wj^2σj^2 + 2wiwjσ(i)σ(j)= (wiσi +
wjσj)^2
Portfolio standard deviation = wiσi + wjσj, as standard deviation
is the square root of variance
Portfolio standard deviation=(weight of Q)*(Standard deviation of
Q) + (weight of R)*(Standard deviation of R)
=.125+.12
=.245
=24.50% (rounded to 2 decimal places)
Perfect negative correlation (when
corr(Ri,Rj)=-1): In this case, portfolio standrad
deviation is the difference (non-negative value) caused by the
standard deviation of returns on individual assets weighted by
their respective shares in the portfolio.
When the correlation coefficient between asset returns is negative
unity, it is possible to combine them in a manner that will
eliminate all the risk.
Var(RiRj) = wi^2σi^2 + wj^2σj^2 - 2wiwjσ(i)σ(j)=(wiσi -
wjσj)^2
Portfolio standard deviation= wiσi - wjσj, as standard deviation is
the square root of variance
Portfolio standard deviation=(weight of Q)*(Standard deviation of
Q) - (weight of R)*(Standard deviation of R)
=.125-.12
=.005
=.5%
Zero correlation (when corr(Ri,Rj)=0):
When the returns on two assets are uncorrelated, their correlation
is zero and hence covariance term becomes zero. In this case,
portfolio variance is the sum of the square of the standard
deviation of each asset weighted by its proportion in the portfolio
and standard deviation id the square root of variance.
Var(RiRj) = wi^2σi^2 + wj^2σj^2
Portfolio standard deviation = [wi^2σi^2 + wj^2σj^2]^(1/2) , as
standard deviation is the square root of variance.
Portfolio standard deviation=[(weight of Q)^2*(Standard deviation
of Q)^2 + (weight of R)^2*(Standard deviation of R)^2]^1/2
=[.5^2*.25^2+.5^2*.24^2]^1/2
=[.25*.0625+.25*.0576]^1/2
=[.015625+.0144]^1/2
=.030025^1/2
=.54795=5.4795% or 5.48%(rounded to 2 decimal places)
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