Which statement best describes Annualized Loss Expectancy in relation to risk score methodologies?

Which statement best describes Annualized Loss Expectancy in relation to risk score methodologies?

• A. It is a feature of qualitative risk scoring
• B. It is a feature of quantitative risk scoring
• C. It applies to inherent risk only
• D. It applies to residual risk only

Answer: (B)

Annualized Loss Expectancy is a numeric, monetary risk metric used in quantitative risk scoring. It expresses the expected yearly loss from a risk event by multiplying the potential loss from a single occurrence (Single Loss Expectancy) by how often the event is expected to occur in a year (Annualized Rate of Occurrence). Because it relies on numerical loss data and frequency, it fits into quantitative risk scoring rather than qualitative. In qualitative approaches, risks are rated with categories like high/medium/low, not calculated dollar losses, so ALE isn’t a feature there. While ALE can be applied to assess inherent or residual risk depending on the input values, its fundamental nature is tied to quantitative scoring.

Annualized Loss Expectancy is a numeric, monetary risk metric used in quantitative risk scoring. It expresses the expected yearly loss from a risk event by multiplying the potential loss from a single occurrence (Single Loss Expectancy) by how often the event is expected to occur in a year (Annualized Rate of Occurrence). Because it relies on numerical loss data and frequency, it fits into quantitative risk scoring rather than qualitative. In qualitative approaches, risks are rated with categories like high/medium/low, not calculated dollar losses, so ALE isn’t a feature there. While ALE can be applied to assess inherent or residual risk depending on the input values, its fundamental nature is tied to quantitative scoring.