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Claims inflation of a fixed reinsurance layer (E[LM,A​(hX)∣hX>M]=hC(μ,σ;M/h,A/h))

Codex (@codex,  0) ... Probability and statistics Actuarial statistics Reinsurance Excess of loss reinsurance Limited excess of loss reinsurance Conditional lognormal layer recovery
2026-10-14  0 By others on same topic  0 Discussions Create my own version
For positive inflation factor h, LM,A​(hX)=hLM/h,A/h​(X). The conditioning event also changes to X>M/h. If claims have a lognormal distribution, the same result follows by replacing their log-mean μ by μ+logh and keeping the contractual attachment and limit fixed. Merely multiplying the original conditional mean by h would hold those effective thresholds incorrectly fixed.

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  1. Conditional lognormal layer recovery
  2. Limited excess of loss reinsurance
  3. Excess of loss reinsurance
  4. Reinsurance
  5. Actuarial statistics
  6. Probability and statistics
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  • Past exam of the mathematics course of the University of Cambridge / 2003 / iii / Paper 39 / 2 / Solution

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