Hi David,
I found the menthod used in Schweser notes much easir to calculate Marginal VAR / component VAR.
I tried solving the same example of currencies and the answer matches perfectly.
A B C
σp^2 V^2 = 2 1 0.0025 0 2
0 .0144 1
Solve: A and B
2 * 0.0025 + 1 * 0 .005
2* 0 + 1 * 0.0144 .0144
Portfolio Variance: (Solved A B * C)
.005 * 2 + .0144 * 1 = .0244 σp = 0.1562
MVAR1 = .005 / .1562 * 1.645 = 0.052657 ~ 0.0527
MVAR2 = .0144 / .1562 * 1.645 = 0.151652 ~ 0.1517
Comp VAR1 = MVAR1 * Weight w1 * Portfolio Value = .0527 * 2000 = $ 105.40
Comp VAR2 = MVAR2 * Weight w2 * Portfolio Value = .1517 * 1000 = $ 151.70
From the Portfolio VAR we can also calculate the Portfolio VAR = 1.645 * .1562 * 3000 = $ 770.85 << Will be reduced in optimal portfolio
For optimizing the Portfolio we could check the ration of Excess Return / MVAR
You assumed 8 % for the first asset and 5 % for the second asset
Hence the ratio A : 0.08 / .0527 = 1.5180
B : 0.05 / 0.1517 = 0.3296
In optimal portfolio, both ratios need to be near-by equal and that is shown in Schweser by changing the allocation. You have used 'go seek' function however both approaches would be difficult in exam. One could only suggest how the portfolio could be rebalanced.
The point is we donot have to use Beta. The calculations become complex using beta but that my feeling.
Thanks.
-D.
Ref: Schweser notes / Vol 1 /Portfolio VAR.
I found the menthod used in Schweser notes much easir to calculate Marginal VAR / component VAR.
I tried solving the same example of currencies and the answer matches perfectly.
A B C
σp^2 V^2 = 2 1 0.0025 0 2
0 .0144 1
Solve: A and B
2 * 0.0025 + 1 * 0 .005
2* 0 + 1 * 0.0144 .0144
Portfolio Variance: (Solved A B * C)
.005 * 2 + .0144 * 1 = .0244 σp = 0.1562
MVAR1 = .005 / .1562 * 1.645 = 0.052657 ~ 0.0527
MVAR2 = .0144 / .1562 * 1.645 = 0.151652 ~ 0.1517
Comp VAR1 = MVAR1 * Weight w1 * Portfolio Value = .0527 * 2000 = $ 105.40
Comp VAR2 = MVAR2 * Weight w2 * Portfolio Value = .1517 * 1000 = $ 151.70
From the Portfolio VAR we can also calculate the Portfolio VAR = 1.645 * .1562 * 3000 = $ 770.85 << Will be reduced in optimal portfolio
For optimizing the Portfolio we could check the ration of Excess Return / MVAR
You assumed 8 % for the first asset and 5 % for the second asset
Hence the ratio A : 0.08 / .0527 = 1.5180
B : 0.05 / 0.1517 = 0.3296
In optimal portfolio, both ratios need to be near-by equal and that is shown in Schweser by changing the allocation. You have used 'go seek' function however both approaches would be difficult in exam. One could only suggest how the portfolio could be rebalanced.
The point is we donot have to use Beta. The calculations become complex using beta but that my feeling.
Thanks.
-D.
Ref: Schweser notes / Vol 1 /Portfolio VAR.