What do structured credit risk analyses typically assess regarding default probability?

Structured credit risk analyses focus on assessing how different layers, or tranches, of a structured finance product respond to varying levels of default probability and loss severity. This method recognizes that various tranches can have differentiated risks due to their hierarchical structure and the specific cash flow waterfall mechanisms in place.

By evaluating the effects on all tranches in terms of mean loss and Credit Value at Risk (VaR), analysts can more accurately determine how credit risk might impact the capital structure of asset-backed securities. This assessment allows for a clearer understanding of potential losses across various scenarios, which is essential for risk management and investment strategy.

Other options, such as assessing the mean and risk for every individual security, would not capture the relationship between tranches and is less comprehensive for structured products. Evaluating the overall return potential of pooled assets lacks the nuance of risk assessment, and analyzing regulatory implications, while important, does not directly pertain to the default probability aspect of structured credit risk analyses.