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PRMIA 8011 Exam Syllabus Topics:

PRMIA Credit and Counterparty Manager (CCRM) Certificate Sample Questions:

1. Which of the following statements are true:
I. Top down approaches help focus management attention on the frequency and severity of loss events, while bottom up approaches do not.
II. Top down approaches rely upon high level data while bottom up approaches need firm specific risk data to estimate risk.
III. Scenario analysis can help capture both qualitative and quantitative dimensions of operational risk.

A) II only
B) II and III
C) III only
D) I only

2. Which of the following credit risk models relies upon the analysis of credit rating migrations to assess credit risk?

A) KMV's EDF based approach
B) The CreditMetrics approach
C) The actuarial approach
D) The contingent claims approach

3. Which of the following credit risk models considers debt as including a put option on the firm's assets to assess credit risk?

A) The CreditMetrics approach
B) The actuarial approach
C) CreditPortfolio View
D) The contingent claims approach

4. The key difference between 'top down models' and 'bottom up models' for operational risk assessment is:

A) Bottom up approaches to operational risk are based upon an analysis of key risk drivers, while top down approaches consider causality in risk scenarios.
B) Bottom up approaches to operational risk calculate the implied operational risk using available data such as income volatility, capital etc; while top down approaches use causal factors, risk drivers and other factors to get an aggregated estimate of risk.
C) Top down approaches to operational risk calculate the implied operational risk using available data such as income volatility, capital etc; while bottom up approaches use causal factors, risk drivers and other factors to get an aggregated estimate of risk.
D) Top down approaches to operational risk are based upon an analysis of key risk drivers, while bottom up approaches consider causality in risk scenarios.

5. Which of the following are true:
I. Monte Carlo estimates of VaR can be expected to be identical or very close to those obtained using analytical methods if both are based on the same parameters.
II. Non-normality of returns does not pose a problem if we use Monte Carlo simulations based upon parameters and a distribution assumed to be normal.
III. Historical VaR estimates do not require any distribution assumptions.
IV. Historical simulations by definition limit VaR estimation only to the range of possibilities that have already occurred.

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

Solutions: