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PRMIA Operational Risk Manager (ORM) Sample Questions:

1. Which of the following are valid methods for selecting an appropriate model from the model space for severity estimation:
I. Cross-validation method
II. Bootstrap method
III. Complexity penalty method
IV. Maximum likelihood estimation method

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

2. For a given mean, which distribution would you prefer for frequency modeling where operational risk events are considered dependent, or in other words are seen as clustering together (as opposed to being independent)?

A) Negative binomial
B) Binomial
C) Gamma
D) Poisson

3. Which of the following does not affect the credit risk facing a lender institution?

A) The applicability or otherwise of mark tomarket accounting to the institution
B) Credit ratings of individual borrowers
C) The degree of geographical or sectoral concentration in the loan book
D) The state of the economy

4. Which of the following credit risk models includes a consideration of macro economic variables such asunemployment, balance of payments etc to assess credit risk?

A) KMV's EDF based approach
B) The CreditMetrics approach
C) The actuarial approach
D) CreditPortfolio View

5. Which of the following is not a limitation of the univariate Gaussian model to capture the codependence structure between risk factros used for VaR calculations?

A) It cannot capture linear relationships between risk factors.
B) Determining the covariance matrix becomes an extremely difficult task as the number of risk factors increases.
C) A single covariance matrix is insufficient to describe the fine codependence structure among risk factors as non-linear dependencies or tail correlations are not captured.
D) The univariate Gaussian model fails to fit to the empirical distributions of risk factors, notably their fat tails and skewness.

Solutions: