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:
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.
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.
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 — this panel does not claim to predict oil prices. 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). This panel does not claim insurance predicts recessions.
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 is human-approved before publication; 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.