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Question 1 of 10
1. Question
What does Value at Risk (VaR) estimate?
Correct
VaR estimates the maximum potential loss of an investment portfolio over a specified time period at a given confidence level.
Incorrect
VaR estimates the maximum potential loss of an investment portfolio over a specified time period at a given confidence level.
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VaR estimates the maximum potential loss of an investment portfolio over a specified time period at a given confidence level.
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Question 2 of 10
2. Question
A one-day VaR of $1 million at 95% confidence means there is what probability that the portfolio could lose more than $1 million in one day?
Correct
At a 95% confidence level, the probability of a loss exceeding the VaR amount is 5%.
Incorrect
At a 95% confidence level, the probability of a loss exceeding the VaR amount is 5%.
Unattempted
At a 95% confidence level, the probability of a loss exceeding the VaR amount is 5%.
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Question 3 of 10
3. Question
Which assumption can make VaR less relevant for long-term risk analysis?
Correct
VaR may assume that portfolio composition remains unchanged during the risk assessment period, while investments are frequently adjusted in practice.
Incorrect
VaR may assume that portfolio composition remains unchanged during the risk assessment period, while investments are frequently adjusted in practice.
Unattempted
VaR may assume that portfolio composition remains unchanged during the risk assessment period, while investments are frequently adjusted in practice.
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Question 4 of 10
4. Question
What is one important limitation of VaR regarding risk aggregation?
Correct
VaR does not always satisfy sub-additivity, so the risk of a combined portfolio may not be less than or equal to the sum of the risks of its individual components.
Incorrect
VaR does not always satisfy sub-additivity, so the risk of a combined portfolio may not be less than or equal to the sum of the risks of its individual components.
Unattempted
VaR does not always satisfy sub-additivity, so the risk of a combined portfolio may not be less than or equal to the sum of the risks of its individual components.
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Question 5 of 10
5. Question
What does Conditional Value at Risk (CVaR) measure?
Correct
CVaR, also known as Expected Shortfall, estimates the average loss beyond the VaR threshold.
Incorrect
CVaR, also known as Expected Shortfall, estimates the average loss beyond the VaR threshold.
Unattempted
CVaR, also known as Expected Shortfall, estimates the average loss beyond the VaR threshold.
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Question 6 of 10
6. Question
Why is CVaR considered a coherent risk measure?
Correct
CVaR is sub-additive, meaning it satisfies an important principle of risk aggregation and supports coherent measurement of portfolio risk.
Incorrect
CVaR is sub-additive, meaning it satisfies an important principle of risk aggregation and supports coherent measurement of portfolio risk.
Unattempted
CVaR is sub-additive, meaning it satisfies an important principle of risk aggregation and supports coherent measurement of portfolio risk.
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Question 7 of 10
7. Question
How do Monte-Carlo simulations primarily generate potential future outcomes for risk measurement?
Correct
Monte-Carlo simulations use randomized models to generate many potential future outcomes instead of relying only on historical observations.
Incorrect
Monte-Carlo simulations use randomized models to generate many potential future outcomes instead of relying only on historical observations.
Unattempted
Monte-Carlo simulations use randomized models to generate many potential future outcomes instead of relying only on historical observations.
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Question 8 of 10
8. Question
Why can Monte-Carlo simulations be useful for portfolios containing options and derivatives?
Correct
Monte-Carlo simulations are useful for complex portfolios because they can model a wide range of potential outcomes and complex financial instruments.
Incorrect
Monte-Carlo simulations are useful for complex portfolios because they can model a wide range of potential outcomes and complex financial instruments.
Unattempted
Monte-Carlo simulations are useful for complex portfolios because they can model a wide range of potential outcomes and complex financial instruments.
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Question 9 of 10
9. Question
Which models can be used with Monte-Carlo simulations to better capture complex dependencies among risk factors?
Correct
Gaussian copulas and vine copula models can be used with Monte-Carlo simulations to model dependencies among risk factors.
Incorrect
Gaussian copulas and vine copula models can be used with Monte-Carlo simulations to model dependencies among risk factors.
Unattempted
Gaussian copulas and vine copula models can be used with Monte-Carlo simulations to model dependencies among risk factors.
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Question 10 of 10
10. Question
Which of the following is an additional factor that should be considered when measuring portfolio risk?
Correct
Intervening cash flows, embedded options, and floating rate changes can affect portfolio value and should be considered in comprehensive risk measurement.
Incorrect
Intervening cash flows, embedded options, and floating rate changes can affect portfolio value and should be considered in comprehensive risk measurement.
Unattempted
Intervening cash flows, embedded options, and floating rate changes can affect portfolio value and should be considered in comprehensive risk measurement.