The second step in the risk management process is analyzing loss exposures. Which statement about this step is true?

The second step in the risk management process is analyzing loss exposures. Which statement about this step is true?

• A. Loss exposures are analyzed based on loss frequency, loss severity, total dollar losses, and timing in this step.
• B. Loss exposures that could interfere with the achievement of the organization's goals are identified in this step.
• C. A weakness of loss exposure analysis is that it is useful only for those types of losses that an organization has suffered in the past.
• D. A major strength of loss exposure analysis is that the process is generally inexpensive.

Answer: (A)

Analyzing loss exposures focuses on quantifying potential losses to determine which risks to treat and how much attention to give them. This analysis looks at how often a loss might occur (frequency), how bad it could be if it does occur (severity), the total dollar impact (often expressed as expected annual loss), and when losses would happen (timing). These factors together help prioritize exposures and shape risk mitigation and financing decisions. Identifying exposures that could interfere with goals happens earlier, during the risk identification step. Analyzing losses uses data to forecast future risk, not just past losses. And while analysis is valuable, it isn’t inherently inexpensive because it often requires data collection, modeling, and professional judgment.

Analyzing loss exposures focuses on quantifying potential losses to determine which risks to treat and how much attention to give them. This analysis looks at how often a loss might occur (frequency), how bad it could be if it does occur (severity), the total dollar impact (often expressed as expected annual loss), and when losses would happen (timing). These factors together help prioritize exposures and shape risk mitigation and financing decisions.

Identifying exposures that could interfere with goals happens earlier, during the risk identification step. Analyzing losses uses data to forecast future risk, not just past losses. And while analysis is valuable, it isn’t inherently inexpensive because it often requires data collection, modeling, and professional judgment.