Methodology and limits

This project reads insurance market data as an economic and geopolitical indicator. Insurance prices confound three drivers, and any honest reading must separate them:

Confounder 01

1. The insurer capital cycle

Property & casualty premiums move on insurer capital and institutional lags, not only on risk — the canonical result is Cummins & Outreville, “An International Analysis of Underwriting Cycles in Property-Liability Insurance” (Journal of Risk and Insurance, 1987), which documents ~6-year cycles arising from industry mechanics. A premium series read naively as “risk” will mistake a capital glut for falling risk.

Confounder 02

2. Rate regulation

In heavily regulated lines the posted price is a political price. Oh, Sen & Tenekedjieva, “Pricing of Climate Risk Insurance: Regulation and Cross-Subsidies” (Journal of Finance, 2026) show rates decoupling from risk where regulation binds. In regulated lines the signal is quantities (non-renewals, residual-market growth), not prices.

Confounder 03

3. Endogeneity

Economic growth drives insurance demand as much as the reverse (Outreville, 2011 survey). This site works in rate-of-change and spread space and does not present premium levels as growth predictors.

What the marine panel does claim

Marine war-risk premiums reprice within hours-to-days of geopolitical shocks and lead physical trade flows (transit declines, reroutings). They are roughly coincident with commodity prices — oil-price forecasting is outside this panel's scope. The 0.5% (friction) and 5–10% (halt) threshold guides are empirical observations from the 2019–2026 episode record, not model outputs.

What the property panel does claim

Property-market stress is read through quantities — non-renewals, FAIR-plan share, insurer exits — because regulated posted prices decouple from risk (Oh, Sen & Tenekedjieva 2026). Peer-reviewed evidence: rising premiums are capitalized into home values (Keys & Mulder, NBER WP 32579); insurer fragility transmits to mortgage credit (Sastry, Sen & Tenekedjieva); flood-exposed homes are overvalued where the insurance signal is suppressed (Gourevitch et al., Nature Climate Change 2023). Recession forecasting is outside this panel's scope.

What the rate-cycle panel does claim

Commercial rate indices, premium volumes and combined ratios describe the insurance capital cycle itself (~6-year cycles; Cummins & Outreville 1987). They are published here as the control that keeps the other panels honest — never as standalone risk signals. EIOPA quarterly premium figures are year-to-date as reported, never differenced into quarterly flows.

Data discipline

  • Every published point carries a primary-source link.
  • Data extracted from prose passes an evidence gate and a recorded review; only machine-readable official sources (FRED, OECD SDMX, EIOPA) auto-publish.
  • Quoted ranges are shown as ranges, never silently collapsed to midpoints.
  • Stale pipelines are flagged, never interpolated.

References

  • Cummins & Outreville (1987), Journal of Risk and Insurance.
  • Oh, Sen & Tenekedjieva (2026), Journal of Finance.
  • Outreville (2011), survey.
  • Keys & Mulder, NBER Working Paper 32579.
  • Sastry, Sen & Tenekedjieva.
  • Gourevitch et al. (2023), Nature Climate Change.
  • Braun (2016).