This course covers Loss Given Default Assumption Design, which involves designing Loss Given Default (LGD) assumptions that estimate the proportion of exposure likely to be lost after borrower default, based on recovery behaviour, collateral characteristics, enforcement effectiveness, and associated recovery costs, within Consumer LAP Credit. It applies to accounts requiring structured assessment, clear boundary definition, and independent review before any credit action is finalized.
It evaluates key dimensions such as designing LGD assumptions that reflect realistic recovery behaviour across different borrower and collateral scenarios, assessing collateral quality and enforceability in determining expected recovery values, incorporating cost considerations such as legal expenses, recovery delays, and liquidation inefficiencies, and interpreting recovery variability across market and economic conditions, with each requiring independent validation and documented rationale to ensure that LGD estimates remain credible, risk-sensitive, and aligned with portfolio risk measurement standards.
It is distinct from portfolio diversification strategy, as it focuses on structured estimation and governance of expected loss severity at the exposure level following default events, rather than broader strategic allocation or diversification considerations—each governed by separate evidence standards, ownership, and approval authority.
Within LTV, Exposure & Concentration Risk Design, the credit analyst executes the assessment, completes documentation, and flags exceptions for manager review within Consumer LAP Credit files, directly influencing escalation scope and credit committee prioritization.