Hi David,
Do you think if answer C makes sense? Should EL be deducted from 95%ile loss? or is this calc only related to Op VAR?
Thanks.
33. Find the operational VaR at a 95% confidence level given the following data.
Frequency Distribution
Probability Number
0.8 0
0.2 1
a. USD 9,000
b. USD 45,000
c. USD 91,000
d. USD 100,000
ANSWER: C
Steps to calculating operational VAR at a 95% significance level.
1. Calculate the expected loss. The expected loss = 0.2 * [ (0.75 * 20,000) +
(0.24 * 100,000) + (0.01 * 600,000)] = 9,000.
2. Next calculate the loss at the 95%ile. Start with the largest loss and work
backward. The probability of a $600,000 loss = 0.01*0.2 = 0.2%. The probability
Severity Distribution
Probability Loss
0.75 USD 20,000
0.24 USD 100,000
0.01 USD 600,000
2006 FRM Practice Exams 34
of a $100,000 loss = 0.24*0.2 = 4.8%. Therefore, the cumulative probability is
5% and the 95%ile loss equals $100,000.
3. Finally, the operational VaR equals the 95%ile loss minus the expected loss =
$100,000 – $9,000 = $91,000.
Reference: Risk Management, Crouhy, Galia, and Mark, 2001.
Do you think if answer C makes sense? Should EL be deducted from 95%ile loss? or is this calc only related to Op VAR?
Thanks.
33. Find the operational VaR at a 95% confidence level given the following data.
Frequency Distribution
Probability Number
0.8 0
0.2 1
a. USD 9,000
b. USD 45,000
c. USD 91,000
d. USD 100,000
ANSWER: C
Steps to calculating operational VAR at a 95% significance level.
1. Calculate the expected loss. The expected loss = 0.2 * [ (0.75 * 20,000) +
(0.24 * 100,000) + (0.01 * 600,000)] = 9,000.
2. Next calculate the loss at the 95%ile. Start with the largest loss and work
backward. The probability of a $600,000 loss = 0.01*0.2 = 0.2%. The probability
Severity Distribution
Probability Loss
0.75 USD 20,000
0.24 USD 100,000
0.01 USD 600,000
2006 FRM Practice Exams 34
of a $100,000 loss = 0.24*0.2 = 4.8%. Therefore, the cumulative probability is
5% and the 95%ile loss equals $100,000.
3. Finally, the operational VaR equals the 95%ile loss minus the expected loss =
$100,000 – $9,000 = $91,000.
Reference: Risk Management, Crouhy, Galia, and Mark, 2001.