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PRMIA Exam 8010 Topic 8 Question 60 Discussion

Actual exam question for PRMIA's 8010 exam
Question #: 60
Topic #: 8
[All 8010 Questions]

Which of the following statements are true in relation to Monte Carlo based VaR calculations:

1. Monte Carlo VaR relies upon a full revalution of the portfolio for each simulation

2. Monte Carlo VaR relies upon the delta or delta-gamma approximation for valuation

3. Monte Carlo VaR can capture a wide range of distributional assumptions for asset returns

4. Monte Carlo VaR is less compute intensive than Historical VaR

Show Suggested Answer Hide Answer
Suggested Answer: A

Monte Carlo VaR computations generally include the following steps:

1. Generate multivariate normal random numbers, based upon the correlation matrix of the risk factors

2. Based upon these correlated random numbers, calculate the new level of the risk factor (eg, an index value, or interest rate)

3. Use the new level of the risk factor to revalue each of the underlying assets, and calculate the difference from the initial valuation of the portfolio. This is the portfolio P&L.

4. Use the portfolio P&L to estimate the desired percentile (eg, 99th percentile) to get and estimate of the VaR.

Monte Carlo based VaR calculations rely upon full portfolio revaluations, as opposed to delta/delta-gamma approximations. As a result, they are also computationally more intensive. Because they are not limited by the range of instruments and the properties they can cover, they can capture a wide range of distributional assumptions for asset returns. They also tend to provide more robust estimates for the tail, including portions of the tail that lie beyond the VaR cutoff.

Therefore I and III are true, and the other two are not.


Contribute your Thoughts:

Peggie
30 days ago
Haha, Abel, you might need to upgrade to a supercomputer for those Monte Carlo simulations! This question is really testing our understanding of the various VaR methodologies.
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Darnell
3 days ago
Yeah, that's right. It's important to understand the differences between Monte Carlo VaR and Historical VaR.
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Jettie
8 days ago
I think the correct answer is A) 1 and 3, because Monte Carlo VaR can capture different distributional assumptions for asset returns.
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Ivette
14 days ago
I know, Monte Carlo simulations can be quite computationally intensive!
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Abel
1 months ago
Wait, does this mean I can't use my trusty calculator for the Monte Carlo VaR calculations? I was hoping to breeze through this question.
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Janessa
1 months ago
Hmm, I'm not so sure. I thought Monte Carlo VaR was more computationally intensive than Historical VaR. Maybe I'm missing something here.
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Yolande
2 months ago
I agree with Jenelle. The other statements about delta-gamma approximation and compute intensity are not true for Monte Carlo VaR.
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Silvana
9 days ago
So the answer is A) 1 and 3.
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Dominga
11 days ago
Yes, and it can capture a wide range of distributional assumptions for asset returns.
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Victor
17 days ago
I agree, Monte Carlo VaR does rely upon a full revaluation of the portfolio for each simulation.
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Ashleigh
1 months ago
I think the correct statements are 1 and 3.
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Vicente
2 months ago
But Monte Carlo VaR can capture a wide range of distributional assumptions, so I think A) 1 and 3 is correct.
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Jenelle
2 months ago
Option A is correct. Monte Carlo VaR does rely on a full revaluation of the portfolio for each simulation, and it can capture a wide range of distributional assumptions.
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Dominga
22 days ago
So, the correct answer is A) 1 and 3.
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Marnie
26 days ago
Yes, that's right. It also can capture a wide range of distributional assumptions for asset returns.
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Lenna
1 months ago
I think option A is correct. Monte Carlo VaR relies on a full revaluation of the portfolio for each simulation.
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Lisbeth
2 months ago
I disagree, I believe the answer is B) 2 and 4.
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Vicente
2 months ago
I think the answer is A) 1 and 3.
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