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PRMIA PRM Certification - Exam III: Risk Management Frameworks, Operational Risk, Credit Risk, Counterparty Risk, Market Risk, ALM, FTP - 2015 Edition Sample Questions:

1. Conditional VaR refers to:

A) the value at risk estimate for non-normal distributions
B) expected average losses conditional on the VaR estimates not being exceeded
C) value at risk when certain conditions are satisfied
D) expected average losses above a given VaR estimate

2. If and are the expected rate of return and volatility of an asset whose prices are log-normally distributed, and a random drawing from a standard normal distribution, we can simulate the asset's returns using the expressions:

A) - .
B) - + .
C) + .
D) / .

3. Which of the following situations are not suitable for applying parametric VaR:
I. Where the portfolio's valuation is linearly dependent upon risk factors II. Where the portfolio consists of non-linear products such as options and large moves are involved III. Where the returns of risk factors are known to be not normally distributed

A) All of the above
B) I and III
C) II and III
D) I and II

4. Which of the following is true in relation to the application of Extreme Value Theory when applied to operational risk measurement?
I. EVT focuses on extreme losses that are generally not covered by standard distribution assumptions II. EVT considers the distribution of losses in the tails III. The Peaks-over-thresholds (POT) and the generalized Pareto distributions are used to model extreme value distributions IV. EVT is concerned with average losses beyond a given level of confidence

A) I and IV
B) I, II and III
C) II and III
D) I, II and IV

5. Which of the following techniques is used to generate multivariate normal random numbers that are correlated?

A) Simulation
B) Cholesky decomposition of the correlation matrix
C) Markov process
D) Pseudo random number generator

Solutions: