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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. A bank's detailed portfolio data on positions held in a particular security across the bank does not agree with the aggregate total position for that security for the bank. What data quality attribute is missing in this situation?

A) Data completeness
B) Data integrity
C) Auditability
D) Data extensibility

2. Calculate the 1-year 99% credit VaR of a portfolio of two bonds, each with a value of $1m, and the probability of default of 1% each over the next year. Assume the recovery rate to be zero, and the defaults of the two bonds to be uncorrelated to each other.

A) 0
B) 980000
C) 20000
D) 1980000

3. Which of the following statements are true:
I. The set of UoMs used for frequency and severity modeling should be identical II. UoMs can be grouped together into larger combined UoMs using judgment based on the knowledge of the business III. UoMs can be grouped together into combined UoMs using statistical techniques IV. One may use separate sets of UoMs for frequency and severity modeling

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

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

5. The unexpected loss for a credit portfolio at a given VaR estimate is defined as:

A) Actual Loss - Expected Loss
B) Actual Loss - VaR
C) max(Actual Loss - Expected Loss, 0)
D) VaR - Expected Loss

Solutions: