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

1. Which of the following statements are true:
I. Credit risk and counterparty risk are synonymous
II. Counterparty risk is the contingent risk from a counterparty's default in derivative transactions III. Counterparty risk is the risk of a loan default or the risk from moneys lent directly IV. The exposure at default is difficult to estimate for credit risk as it depends upon market movements

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

2. Financial institutions need to take volatility clustering into account:
I. To avoid taking on an undesirable level of risk
II. To know the right level of capital they need to hold
III. To meet regulatory requirements
IV. To account for mean reversion in returns

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

3. 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

4. Ex-ante VaR estimates may differ from realized P&L due to:
I. the effect of intra day trading
II. timing differences in the accounting systems
III. incorrect estimation of VaR parameters
IV. security returns exhibiting mean reversion

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

5. An assumption of normality when returns data have fat tails leads to:
I. underestimation of VaR at high confidence levels
II. overestimation of VaR at low confidence levels
III. overestimation of VaR at high confidence levels
IV. underestimation of VaR at low confidence levels

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

Solutions: