Question
Assume that the daily change in the value of the vegetable trading portfolio follows a normal distribution with an expected value of 0 and a
Assume that the daily change in the value of the vegetable trading portfolio follows a normal distribution with an expected value of 0 and a standard deviation of $2 million: (N^-1(0.99) to 2.326, N^-1(0.975) to 1.96
a) What is the 97.5% VaR for a 1-day look-ahead period? What is the ES of 99% for a 1-day look-ahead period?
b) Assuming that the intra-day changes in trading portfolio values are independent of each other and follow the same normal distribution, what is the 97.5% VaR for the 5-day outlook period?
What is the 97.5% VaR for the 5-day outlook period and what is the 99% ES for the 5-day outlook period?
c) If the first-order autocorrelation coefficient of the daily change in value is equal to 0.16, the
d). What should be the valley case in
all information already in. (N1(0.99)2.326,N1(0.975)1.96
Assume that the daily change in the value of the vegetable trading portfolio follows a normal distribution with an expected value of 0 and a standard deviation of $2 million: (N^-1(0.99) to 2.326, N^-1(0.975) to 1.96
a) What is the 97.5% VaR for a 1-day look-ahead period? What is the ES of 99% for a 1-day look-ahead period?
b) Assuming that the intra-day changes in trading portfolio values are independent of each other and follow the same normal distribution, what is the 97.5% VaR for the 5-day outlook period?
What is the 97.5% VaR for the 5-day outlook period and what is the 99% ES for the 5-day outlook period?
c) If the first-order autocorrelation coefficient of the daily change in value is equal to 0.16, the
d). What should be the valley case in
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