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Exposure rating

Pricing based on risk exposure and reference curves rather than on a risk's own history, useful for high layers and risks lacking sufficient track record.

Definition

Exposure rating estimates the cost of a risk without going through its own claims history, as burning cost does. It starts from a measure of the risk's exposure and from reference curves describing how losses are distributed by size. It is used where the track record is too thin to be reliable: the risk is new, or the layer is a high one that is rarely hit, and direct experience is too sparse. Exposure curves say what share of the exposed value is likely to be reached above various thresholds, so the actuary can estimate a layer's premium even with no losses observed at that level. It complements burning cost: one looks at the risk's own past, the other at broader knowledge of how losses are distributed, and the two are often combined to cross-check. In cyber reinsurance, the track record on extreme events is very thin and burning cost is unreliable, so exposure rating, fed by scenario models, carries all the more weight.

Its 9 cross-references, woven across the glossary's 18 categories
Exposure rating: Actuarial science glossary illustration, AlgoPolis
Example

Hypothetical case: to price a high layer that has never been hit, the actuary cannot rely on history. They turn to exposure rating, using reference curves and modeled scenarios to estimate the probability that losses reach that level.

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Also known as

exposure rating, exposure curve rating, ILF rating

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