Last Updated: Aug 22, 2026
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| Section | Objectives |
|---|---|
| Credit Derivatives and Securitization | - Credit derivatives
|
| Classic Credit Products and Lifecycle | - Traditional credit products
|
| CVA and DVA | - Debit valuation adjustment
|
| Standardized Approach for Counterparty Credit Risk | - SA-CCR framework
|
| Management of CVA and DVA | - Operational implementation
|
| Credit Portfolio Management | - Portfolio monitoring
|
| Counterparty Risk | - Risk mitigation
|
| Modern Credit Risk Modeling | - Portfolio risk models
|
| Classic Credit Risk Methodology | - Traditional credit analysis
|
1. Which of the following are valid methods for selecting an appropriate model from the model space for severity estimation:
I. Cross-validation method
II. Bootstrap method
III. Complexity penalty method
IV. Maximum likelihood estimation method
A) I, II and III
B) II and III
C) All of the above
D) I and IV
2. The cumulative probability of default for a security for 4 years is 11.47%. The marginal probability of default for the security for year 5 is 5% during year 5. What is the cumulative probability of default for the security for 5 years?
A) 15.90%
B) 5.00%
C) None of the above
D) 16.47%
3. Random recovery rates in respect of credit risk can be modeled using:
A) the binomial distribution
B) the beta distribution
C) the normal distribution
D) the omega distribution
4. Which of the following statements are true:
I. A high score according to Altman's Z-Score methodology indicates a lower default risk II. A high score according to the Probit or Logit models indicates a higher default risk III. A high score according to Altman's Z-Score methodology indicates a higher default risk IV. A high score according to the Probit or Logit models indicates a lower default risk
A) III and IV
B) I and II
C) II and III
D) I and IV
5. A Monte Carlo simulation based VaR can be effectively used in which of the following cases:
A) Where analytical methods are too complex to effectively use
B) When returns are discontinuous or display large jumps
C) All of the above
D) When returns data cannot be analytically modeled
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: C |
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