Chapter 30 — Further Reading

Grouped by the book's three citation tiers. Tier 1 is verified canonical (real institutions, frameworks, and public events you can stand behind); Tier 2 is attributed but with specifics to verify against current sources; Tier 3 is the chapter's own constructed teaching material. Annotations say what each source is good for.

Tier 1 — Verified canonical

  • The Institutes (American Institute for CPCU), CPCU and AU curricula — the professional treatment of catastrophe risk, PML, accumulation, and catastrophe reinsurance in the North American underwriting vocabulary; the authoritative source for the precise definitions tested on the designations.
  • The public record of Hurricane Andrew (1992) — the event that created the modern catastrophe-modeling industry by proving an insurer's own history cannot price hurricane risk; the origin of the discipline this chapter teaches. (Used as Chapter 27's reinsurance case; here as background.)
  • The public record of Hurricane Katrina (2005) — one of the costliest U.S. catastrophes; the source of the storm-surge/flood-modeling, demand-surge, wind-versus-water coverage, and levee-failure lessons in Case Study 1. Use the documented public account; keep magnitudes qualitative.
  • The U.S. National Flood Insurance Program (NFIP) — the federal flood backstop; central to the wind-vs- water coverage problem and to the catastrophe protection gap (§30.7). (Owned as a term in Chapter 15.)
  • State residual-market mechanisms — the California FAIR Plan and Florida's Citizens Property Insurance Corporation — public insurers of last resort that absorb catastrophe risk the private market withdraws from; the concrete machinery behind the protection gap and the migration of risk onto the public balance sheet (§30.7).
  • The public regulatory debate over forward-looking wildfire catastrophe models in California rate-making — the live example of the §30.4 tension between the actuarially indicated cat load and the approvable rate; documented in regulatory proceedings and reputable reporting. Keep specifics current and qualitative.
  • The major catastrophe-model vendors as an industry institution (the firms that build the hazard/ vulnerability/financial models used across insurance and reinsurance) — referenced as the standard infrastructure of the discipline; consult their public methodology overviews for model architecture, not for any insurer's specific numbers.

Tier 2 — Attributed, specifics to verify

  • Catastrophe-loss and insured-versus-economic-loss data (e.g., reinsurer and broker catastrophe reviews, industry catastrophe reporting). The broad patterns are well attested — catastrophe years are highly volatile; insured loss is regularly a fraction of total economic loss (the protection gap); demand surge amplifies the largest events — but specific annual and per-event figures vary by source and year and must be checked against current data. Do not quote a precise figure without a current source.
  • The wildfire-as-primary-peril shift and the maturing of wildfire models. The qualitative arc (wildfire moving from secondary to primary catastrophe peril; models becoming far more sophisticated) is well documented in trade and reinsurance literature; precise magnitudes and dates vary by account.
  • The climate-attribution and non-stationarity literature for weather perils. The direction of the effect on intensifying perils (a backward-looking model tends to understate current risk) is broadly supported; the precise magnitudes carry genuine scientific uncertainty and are an active research area — treat quantified climate-loading claims with appropriate caution.
  • Catastrophe bonds and insurance-linked securities (ILS) as an alternative source of catastrophe capital. The role of the capital markets in absorbing catastrophe tail risk is well established; specific structures, spreads, and capacity figures change with the market (previewed here; taken up in Chapters 26 and 34).

Tier 3 — Illustrative / constructed (this chapter)

  • The Harbor Steel & Fabrication catastrophe screen (the AAL contribution, the marginal PML contribution, the Port Hadley zone fit) — constructed teaching example consistent with the frozen Underwriting-File facts; not drawn from any real account.
  • The illustrative EP curve, the AAL/PML comparison, the accumulation-by-zone table, and the moving-baseline diagram (§30.3–§30.6) — round numbers chosen to make the catastrophe mathematics legible; not real losses.
  • The return-period arithmetic ($1-(0.99)^N$ and its values) — a correct general formula applied to illustrative inputs.

If you read only one thing: read a single reinsurer's or broker's annual catastrophe review and find, in it, the distinction between the year's expected catastrophe cost and the modeled tail (a PML at a stated return period). Holding those two numbers side by side — what the industry charges for versus what it must survive — is the entire chapter in one document, and it is the habit of mind that keeps a property book solvent.