A | B | |
E | 4% | 8% |
V |
a.
Taking expectation
Taking Variance
Using formula V(ax + by) =
Final Ans: and
b.
Since returns on asset a and asset b both follow normal dist our portfolio return will follow normal dist as well
VaR is the value of loss that will not exceed level in (1 - ) confidence level for a given period of time. For normal distribution
Where t = - VaR and
VaR = - 0.1497 (A loss of 14.97% of value invested)
Final Ans: For $1 invested VaR is $0.1497 or 14.97p.
c.
d.
does not have any impact on . Since expected returns are irrespective of the covariance.
e.
In order to diversify portfolio, one should invest in negatively related assets. This is because the movements in the assets returns will be different directions due to the changes. This is not beneficial if we were going to get profits on both assets. But we assume that the investors are risk averse. Therefore we look from the point of view of losses, so if we are facing losses on one asset we will have profit on the other asset. Otherwise, we will have losses on both assets.
From b. and c. we can see that for -vely correlated assets Variance was lesser than that of +vely correlated. Smaller variance means less riskier portfolio.
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