Explanation:
Estimating default correlation is essential because it informs the bank about the likelihood of simultaneous defaults among various obligors. A higher correlation between defaults implies that diversification benefits are reduced, as adverse conditions affecting one borrower may also impact others, increasing the risk of concurrent defaults. This can significantly affect the distribution of losses across the portfolio and can lead to large, unexpected financial setbacks.
A is incorrect. Estimating default correlation has a direct impact on capital requirements as it affects the perception of risk within the portfolio and is indeed required for regulatory compliance.
B is incorrect. Default correlation analysis is conducted for managing credit risk and its impact on the financial performance of the bank's portfolio, not for determining employee compensation.
D is incorrect. Default correlation affects both the pricing of credit derivatives like CDOs and the stress testing practices by regulators, making it an important factor in comprehensive credit risk management.
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Q.6052 An investment bank is seeking to quantify the benefits of diversification in its credit portfolio consisting of various credit obligations. In this context, why is estimating default correlation among the obligations crucial for the bank's portfolio credit risk management?
A
Estimating default correlation is important for regulatory compliance but has no real impact on the bank's capital requirements.
B
Default correlation primarily helps in determining the allocation of bonuses for the risk management team based on the perceived risk level.
C
Default correlation is key for understanding the true diversification benefits and the distribution of losses within the credit portfolio.
D
While default correlation can be estimated, it does not significantly affect the pricing of credit derivatives or the bank's stress testing process.
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