In: Finance
Exercise 4:
Consider an Australian financial institution which has Swiss Franc denominated assets worth 50 million CHF and USD denominated liabilities worth 1 million USD. The past exchange rates in over the past 10 months are:
a) Measure the exposure: Calculate the value of the position in AUD.
b) Measure the sensitivity: Calculate the change (in AUD) in the CHF position for a 1% increase in the value of the Swiss Franc. Calculate the change (in AUD) in the USD position for a 1% increase in the value of the USD.
c) Calculate the past changes in the exchange rate in %.
d) Re-evaluate the portfolio position with the past changes in the
exchange rate. e) Calculate the Value at Risk for the next month
and α = 10%
f) Calculate the Value at Risk for the next month and α = 20%
Month |
0 |
1 |
2 |
3 |
4 |
5 |
Swiss exchange rate (AUD x)/ CHF |
1.25 |
1.20 |
1.23 |
1.28 |
1.31 |
1.24 |
US exchange rate (AUD x)/ USD |
1.38 |
1.40 |
1.46 |
1.53 |
1.47 |
1.47 |
Month |
6 |
7 |
8 |
9 |
10 (today) |
Swiss exchange rate (AUD x)/ CHF |
1.18 |
1.08 |
1.21 |
1.27 |
1.32 |
US exchange rate (AUD x)/ USD |
1.40 |
1.32 |
1.39 |
1.31 |
1.27 |
a | |||
Value of position in AUD today- | |||
Position | Position value (foreign currency) | Exchange rate | Position value in AUD |
Assets (CHF) | 50,000,000 | 1.32 | 66,000,000 |
Liability (USD) | 1,000,000 | 1.27 | 1,270,000 |
Net | 64,730,000 |
b | |||||||
Sensitivity of the position- | |||||||
Position | Position value (foreign currency) | Exchange rate | Position value in AUD | +1% change in position | Position value in AUD | -1% change in position | Position value in AUD |
Assets (CHF) | 50,000,000 | 1.32 | 66,000,000 | 50,500,000 | 66,660,000 | 49,500,000 | 65,340,000 |
Liability (USD) | 1,000,000 | 1.27 | 1,270,000 | 1,010,000 | 1,282,700 | 990,000 | 1,257,300 |
Net | 64,730,000 | 65,377,300 | 64,082,700 | ||||
Change in position | 647,300 | (647,300) | |||||
Change in position | 1.00% | -1.00% |
c | |||||||||||
% changes in past exchange rates | |||||||||||
Month | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 (today) |
Swiss exchange rate (AUD x)/ CHF | 1.25 | 1.2 | 1.23 | 1.28 | 1.31 | 1.24 | 1.18 | 1.08 | 1.21 | 1.27 | 1.32 |
US exchange rate (AUD x)/ USD | 1.38 | 1.4 | 1.46 | 1.53 | 1.47 | 1.47 | 1.4 | 1.32 | 1.39 | 1.31 | 1.27 |
% change in Swiss exchange rate | -4.00% | 2.50% | 4.07% | 2.34% | -5.34% | -4.84% | -8.47% | 12.04% | 4.96% | 3.94% | |
% change in US exchange rate | 1.45% | 4.29% | 4.79% | -3.92% | 0.00% | -4.76% | -5.71% | 5.30% | -5.76% | -3.05% |
d | |||||||||||
Past portfolio position | |||||||||||
Position | Position value (foreign currency) | ||||||||||
Assets (CHF) | 50,000,000 | ||||||||||
Liability (USD) | 1,000,000 | ||||||||||
Month | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 (today) |
Swiss exchange rate (AUD x)/ CHF | 1.25 | 1.2 | 1.23 | 1.28 | 1.31 | 1.24 | 1.18 | 1.08 | 1.21 | 1.27 | 1.32 |
US exchange rate (AUD x)/ USD | 1.38 | 1.4 | 1.46 | 1.53 | 1.47 | 1.47 | 1.4 | 1.32 | 1.39 | 1.31 | 1.27 |
Asset value in AUD | 62,500,000 | 60,000,000 | 61,500,000 | 64,000,000 | 65,500,000 | 62,000,000 | 59,000,000 | 54,000,000 | 60,500,000 | 63,500,000 | 66,000,000 |
Liability value in AUD | 1,380,000 | 1,400,000 | 1,460,000 | 1,530,000 | 1,470,000 | 1,470,000 | 1,400,000 | 1,320,000 | 1,390,000 | 1,310,000 | 1,270,000 |
Net Portfolio value | 61,120,000 | 58,600,000 | 60,040,000 | 62,470,000 | 64,030,000 | 60,530,000 | 57,600,000 | 52,680,000 | 59,110,000 | 62,190,000 | 64,730,000 |
e, f
The VAR can be calculated by multiple methods. We will calculate
the VAR value by 2 methods
Historical returns method-
Returns from lowest to highest | 52,680,000 | 57,600,000 | 58,600,000 | 59,110,000 | 60,040,000 | 60,530,000 | 61,120,000 | 62,190,000 | 62,470,000 | 64,030,000 | 64,730,000 |
VAR at alpha= 10% is the lowest 10% return value. In this case,
there are 11 values, Hence, 10% of 11 is 1.1. We take the 1st and
the 2nd lowest return and extrapolate
52,680,000+ 0.1* (57,600,000-52,680,000)
53,172,000
VAR= 64730000- 53172000
11,558,000
Hence, 10% VAR= 11,558,000
VAR at alpha= 20% is the lowest 20% return value. In this case,
there are 11 values, Hence, 20% of 11 is 2.2. We take the 2nd and
the 3rd lowest return and extrapolate
57,600,000+ 0.2*(58,600,000-57,600,000)
57,800,000
VAR= 64730000- 57800000
6,930,000
Hence, 20% VAR= 6,930,000
Parametric (mean-std dev) method
Average portfolio returns over 10- months
3.90%
Std dev of return over 10-months
4.46%
Alpha= 10% | ||
Min Return with 90% prob | -1.8157 | =NORM.INV(10%,3.9%,4.46%) |
Value of Portfolio | (52,801,554) | =64,730,000*(1-1.8157) |
Value at Risk | 11,928,446 | =64,730,000-52,801,554 |
Alpha= 20% | ||
Min Return with 80% prob | (0.1464) | =NORM.INV(20%,3.9%,4.46%) |
Value of Portfolio | 55,255,515 | =64,730,000*(1-1.1464) |
Value at Risk | 9,474,485 | =64,730,000-55,255,515 |
Based on the flow of question asked in the problem, I suggest
historical VAR is the expected method for providing the answer. We
were asked to provide values of portdolio for historical period.
This would suggest a VAR calculation based on historical
values.