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PRMIA Credit and Counterparty Manager (CCRM) Certificate Exam Sample Questions (Q311-Q316):

NEW QUESTION # 311
Which of the following is the most important problem to solve for fitting a severity distribution for operational risk capital:

A. The risk functional's minimization should lead to a good estimate of the 0.999 quantile
B. The fit obtained should reduce the combination of the fitting and approximation errors to a minimum
C. Empirical loss data needs to be extended to the ranges below the reporting threshold and above large value losses
D. Determine plausible scenarios to fill the data gaps in the internal and external loss data

Answer: A

Explanation:
Ultimately, the objective of the operational risk severity estimation exercise is to calculate the99.9th percentile loss over a one year horizon; and everything else we do with data, collecting loss information, modeling, curve fitting etc revolves around this objective. If we cannot estimate the 99.9th percentile loss accurately, then not much else matters. Therefore Choice 'a' is the correct answer.
Minimizing the combination of fitting and approximation errors is one of the things we do with a view to better estimating the operational loss distribution. Likewise, empirical loss data generally is range bound because corporations do not require employees to log losses less than an threshold, and high value losses are generally rare. This problem is addressed by extrapolating both large and small losses, something that impacts the performance of our model. Likewise, one of the objectives of scenario analysis is to fill data gaps by generating plausible scenarios. Yet while all these are real issues to address, the primary problem we are trying to solve is estimating the 0.999th quantile.

NEW QUESTION # 312
Loss from a lawsuit from an employee due to physical harm caused while at work is categorized per Basel II as:

A. Execution delivery and process management
B. Employment practices and workplace safety
C. Unsafe working environment
D. Damage to physical assets

Answer: B

Explanation:
Choice 'a' is the correct answer. Refer to the detailed loss event type classification under Basel II (see Annex 9 of the accord). You should know the exact names of all loss event types, and examples of each.

NEW QUESTION # 313
Which loss event type is the failure to timely deliver collateral classified as under the Basel II framework?

A. Information security
B. Execution, Delivery & Process Management
C. External fraud
D. Clients, products and business practices

Answer: B

Explanation:
Refer to the detailed loss event type classification under Basel II (see Annex 9 of the accord). You should know the exact names of all loss event types, and examples of each.

NEW QUESTION # 314
The probability of default of a security during the first year after issuance is 3%, that during the second and third years is 4%, and during the fourth year is 5%. What is the probability that it would not have defaulted at the end of four years from now?

A. 88.00%
B. 84.93%
C. 88.53%
D. 12.00%

Answer: B

Explanation:
The probability that the security would not default in the next 4 years is equal to the probability of survival at the end of the four years. In other words, =(1 - 3%)*(1 - 4%)*(1 - 4%)*(1 - 5%) = 84.93%. Choice 'd' is the correct answer.

NEW QUESTION # 315
Which of the following describes rating transition matrices published by credit rating firms:

A. Realized frequencies of migration from one credit rating to another over a one year period
B. Expected ex-ante frequencies of migration from one credit rating to another over a one year period
C. Probabilities of default for each credit rating class
D. Probabilities of ratings transition from one rating to another for a given set of issuers

Answer: A

Explanation:
Transition matrices are used for building distributions of the value of credit portfolios, and are the realized frequencies of migration from one credit rating to another over a period, generally one year. Therefore Choice
'd' is the correct answer.
Since they represent an actually observed set of values, they are not probabilities nor are they forward looking ex-ante estimates, though they are often used as proxies for probabilities. Choice 'a' and Choice 'c' are not correct. They include more than information on just defaults, therefore Choice 'b' is not correct.

NEW QUESTION # 316
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