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PRMIA 8011 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Modern Credit Risk Modeling | - Portfolio risk models
|
| Credit Derivatives and Securitization | - Securitization structures
|
| Management of CVA and DVA | - Operational implementation
|
| Classic Credit Products and Lifecycle | - Traditional credit products
|
| Classic Credit Risk Methodology | - Traditional credit analysis
|
| Counterparty Risk | - Risk mitigation
|
| Credit Portfolio Management | - Portfolio monitoring
|
| CVA and DVA | - Debit valuation adjustment
|
| Standardized Approach for Counterparty Credit Risk | - Regulatory capital treatment
|
PRMIA Credit and Counterparty Manager (CCRM) Certificate Sample Questions:
1. A risk analyst uses the GARCH model to forecast volatility, and the parameters he uses are # = 0.001%, # =
0.05 and # = 0.93. Yesterday's daily volatility was calculated to be 1%. What is the long term annual volatility under the analyst's model?
A) 0.22 %
B) 0.25 %
C) 7.94 %
D) 3.54 %
2. The estimate of historical VaR at 99% confidence based on a set of data with 100 observations will end up being:
A) the extrapolated returns of the last 1.64 observations
B) the worst single observation in the data set
C) the weighted average of the top 2.33 observations
D) None of the above
3. Which of the following statements are true:
I. Stress testing, if exhaustive, can replace traditional risk management tools such as value-at-risk (VaR) II. Stress tests can be particularly useful in identifying risks with new products III. Stress testing is distinct from a bank's ICAAP carried out periodically IV. Stress testing is a powerful communication tool that can convey risks to decisionmakers in an organization
A) All of the above
B) I and III
C) I, II and III
D) II and IV
4. Which of the following statements is true:
I. When averaging quantiles of two Pareto distributions, the quantiles of the averaged models are equal to the geometric average of the quantiles of the original models based upon the number of data items in each original model.
II. When modeling severity distributions, we can only use distributions which have fewer parameters than the number of datapoints we are modeling from.
III. If an internal loss data based model covers the same risks as a scenario based model, they can can be combined using the weighted average of their parameters.
IV If an internal loss model and a scenario based model address different risks, the models can be combined by taking their sums.
A) III and IV
B) I and II
C) II and III
D) All statements are true
5. If the 1-day VaR of a portfolio is $25m, what is the 10-day VaR for the portfolio?
A) $7.906m
$79.06m
B) Cannot be determined without the confidence level being specified
C) $250m
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |

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