Explanation:
For credit VaR, the use of more sophisticated models is recommended due to the need to model less frequent but more complex credit events such as defaults. These models typically incorporate factors like credit correlations and rating transitions, accounting for the interconnectedness of default risks among different entities.
A is incorrect because historical simulation is less suited to credit VaR modeling due to the unique nature and lower frequency of credit events, which require a different approach.
C is incorrect because continual mark-to-market valuation methods are not specifically designed for modeling credit events, which require tools that can assess the infrequency and impact of such events.
D is incorrect because volatility-based models are generally more applicable to market risk VaR and may not adequately address the complexities of credit risk such as default correlations.
Ultimate access to all questions.
Q.6020 In a seminar on risk management practices, a risk manager is outlining the tools and methodologies appropriate for measuring various types of VaR. Given the characteristics of market price fluctuations versus credit events, what approach should the risk manager specify as suitable for the measurement of credit VaR?
A
The use of historical simulation models due to their ability to account for the high-frequency nature of credit events.
B
Sophisticated models that encompass credit correlations and rating transitions, reflecting the infrequency and interconnectedness of credit events.
C
Continual mark-to-market valuation methods to capture the volatile and high-impact nature of credit defaults and downgrades.
D
Application of volatility-based models similar to those used for market risk VaR to capture the variability of credit spreads.
No comments yet.