Question

In: Finance

After finishing your risk management course, you are asked by your portfolio manager to calculate the...

After finishing your risk management course, you are asked by your portfolio manager to calculate the VaR of the portfolio that is consisting of two asset classes: long-term government bonds issued in the United States and long-term government bonds
issued in the United Kingdom. The expected monthly return on US bonds is 0.85%
and the standard deviation is 3.20%, while the expected monthly return on UK bonds (in US
dollars) is 0.95% and the standard deviation is 5.26%. The correlation between the US
dollar returns of UK and US bonds is 35%. The portfolio market value is $100 million
and is equally weighted between the two asset classes. Using the analytical method, compute the following:

(A) 5% monthly VaR
(B) 1% monthly VaR
(C) 5% weekly VaR
(D) 1% weekly VaR

Solutions

Expert Solution

For a two assets portfolio,

Expected return =

Rp = w1 x R1 + w2 x R2 and

Std deviation =

Here we have been given monthly returns, hence:

Monthly expected return = RP =  0.5 x 0.85% + 0.5 x 0.95% = 0.90%

and monthly std dev =

σp = [(50% x 3.2%)2 + (50% x 5.26%)2 + 2 x 50% x 50% x 35% x 3.20% x 5.26%]1/2 =

= 3.52%

Part (A)

5% monthly VaR = (Rp - 1.65σp) x V = (0.90% - 1.65 x 3.52%) x $ 100 million = - $ 4.92 million = - $ 4,915,519 (if you want the value in $ and not in $ million)

Part (B)

1% monthly VaR = (Rp - 2.33σp) x V = (0.90% - 2.33 x 3.52%) x $ 100 million = - $ 7.31 million = - $ 7,312,217
(if you want the value in $ and not in $ million)

Part (C)

Weekly return, Rp* = Rp x 12 months / 52 weeks = 0.90% x 12 / 52 = 0.2077%

Weekly std dev = σp* = σp x (12 / 52)1/2 = 3.52% x (12 / 52)1/2 = 1.6931%

5% weekly VaR = (Rp* - 1.65σp*) x V = (0.2077% - 1.65 x 1.6931%) x $ 100 million

= - $ 2.59 million = - $ 2,585,992 (if you want the value in $ and not in $ million)

Part (D)

1% weekly VaR = (Rp* - 2.33σp*) x V = (0.2077% - 2.33 x 1.6931%) x $ 100 million

= - $ 3.74 million = - $ 3,737,329 (if you want the value in $ and not in $ million)


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