When developing loss severity distributions, risk professionals should organize loss data by which attribute?

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Multiple Choice

When developing loss severity distributions, risk professionals should organize loss data by which attribute?

Explanation:
The key idea is that a loss severity distribution describes how large individual losses are. To develop this distribution, you organize the data by the size of each loss—the loss amount—so you can see the frequency of different magnitudes and capture the distribution’s shape and tail behavior. Time or date of loss mainly affect trend, inflation, or seasonality analyses, and location can matter for segmentation, but they don’t define the distribution of loss sizes itself. By focusing on loss amounts, you accurately model how big losses tend to be across the portfolio.

The key idea is that a loss severity distribution describes how large individual losses are. To develop this distribution, you organize the data by the size of each loss—the loss amount—so you can see the frequency of different magnitudes and capture the distribution’s shape and tail behavior. Time or date of loss mainly affect trend, inflation, or seasonality analyses, and location can matter for segmentation, but they don’t define the distribution of loss sizes itself. By focusing on loss amounts, you accurately model how big losses tend to be across the portfolio.

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