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

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

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

2. Assuming all other factors remain the same, an increase in the volatility of the returns on the assets of a firm causes which of the following outcomes?

A) An increase in the value of the callable debt of the firm
B) An increase in the value of the equity of the firm
C) A decrease in the value of the implicit put in in the debt of the firm
D) A decrease in the value of the non-callable debt issued by the firm

3. For a security with a daily standard deviation of 2%, calculate the 10-day VaR at the 95% confidence level.
Assume expected daily returns to be nil.

A) 0.104
B) None of the above.
C) 0.1471
D) 0.02

4. Which of the following risks were not covered in detail in most stress tests prior to the current crisis:
I. The behavior of complex structured products under stressed liquidity conditions II. Pipeline or securitization risk III. Basis risk in relation to hedging strategies IV. Counterparty credit risk
V. Contingent risks
VI. Funding liquidity risk

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

5. When fitting a distribution in excess of a threshold as part of the body-tail distribution method described by the equation below, how is the parameter 'p' calculated.

Here, F(x) is the severity distribution. F(Tail) and F(Body) are the parametric distributions selected for the tail and the body, and T is the threshold in excess of which the tail is considered to begin.

A) p is a parameter estimated using either the sum of least squares or maximum likelihood estimation
B) If there are K observations up to the tail threshold, then p = k*n
C) If there are N observations, of which K are up to T, then p = k/N
D) p is a function of the reporting threshold and determined by the log-likelihood functional

Solutions: