GRA · Disaster Risk Finance
Spatial financeWhere capital meets hazard, exposure and transition
Insurance and public pools
Insurance moves part of disaster cost from governments and households to insurers and capital markets. Sovereign parametric policies pay governments quickly; regional pools spread risk across countries; national schemes cover homes, farms and businesses, often with public support. This page sets out how these arrangements work, where basis risk and affordability limit them, the data behind them and who decides.
Insurance and public pools on the record.
Insurance and public pools: how the risk develops.
Pools and insurance readiness. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Parametric triggers pay fast
Payouts based on measured wind speed, rainfall or modelled loss arrive in days without loss adjustment. The trade-off is basis risk: the payout may not match the actual loss.
Pooling diversifies
Countries in a pool rarely suffer major events in the same year. Pooling lowers capital needs and premiums compared with each country buying alone.
Household cover needs distribution
Reaching households and smallholders requires distribution through banks, cooperatives, mobile operators or social programmes, and premiums people can afford.
Premium support shapes uptake
Subsidies raise take-up but can weaken incentives to reduce risk. Design choices decide who benefits and at what fiscal cost.
A parametric trigger, read on the map.
How a storm crossing a trigger zone would set a payment. Real geography; synthetic storm and design terms.
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Sovereign parametric cover purchased | currency of limit | annual | Pool records | Published statistics |
| Payouts by regional risk pools | currency and count | per event | Pool annual reports | Published statistics |
| Time from event to payout | days | per payout | Pool records | OBSERVED |
| Basis risk events | count of events with loss but no payout, or the reverse | per review | Evaluations | ESTIMATED |
| Agricultural insurance take-up | share of farmers | annual | Programme and survey data | REPORTED |
| Premium subsidy cost | currency per year | annual | Budget records | Published statistics |
Parametric trigger monitor.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Parametric trigger monitor
Insurance and public pools · Sovereign C · Season 2
Index vs trigger
Payment structure
| Attachment | 70 | 0 | Close |
| Mid | 75 | 47 | Not met |
| Exhaustion | 91 | 100 | Not met |
Risk layers
local m, pre-arranged
Payment to people
- Triggeragent confirms
- Payment10 days
- Treasurytransfer
- Social protectionscale-up
- Householdscash
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| CCRIF SPC annual reports | Caribbean and Central American sovereign parametric cover | Free to read, CCRIF terms |
| African Risk Capacity Group reports | African sovereign cover and payouts | Free to read, terms to check |
| Pacific Catastrophe Risk Insurance Company reports | Pacific sovereign cover | Free to read, terms to check |
| SEADRIF records | Southeast Asia disaster risk insurance facility | Free to read, terms to check |
| Global Index Insurance Facility reports | Index insurance programmes for farmers and small firms | Free, World Bank terms |
Loss exceedance, average annual loss and probable maximum loss.
The loss a portfolio in the footprint can expect per year and at the 1 in 100 and 1 in 250 levels that insurers and lenders price, from the same three blocks every catastrophe model uses. Teaching model with stated illustrative values, not a prediction. The map on this page shows Pacific Island states; the model itself is not tied to a place.
Controls
- Typical annual hazard intensity (location)
- 1.00 intensity index
- Spread of extremes (scale)
- 0.80 intensity index
- Intensity at which half the value is lost
- 4.00 intensity index
- Dispersion of vulnerability
- 0.55
- Share of value in the hazard footprint
- 40%
- Protection standard (return period)
- 50 years
Readouts
- Average annual loss
- 0.51% of value
- Loss at 1 in 100 years
- 24.5% of value
- Loss at 1 in 250 years
- 28.4% of value
- Intensity at 1 in 100 years
- 4.68 intensity index
Numbers, methods and sources
| Return period (years) | Intensity (intensity index) | Loss (% of value) |
|---|---|---|
| 1 | 0.09 | 0.00 |
| 2 | 1.27 | 0.00 |
| 4 | 1.91 | 0.00 |
| 7 | 2.47 | 0.00 |
| 13 | 3.00 | 0.00 |
| 24 | 3.51 | 0.00 |
| 44 | 4.02 | 0.00 |
| 82 | 4.53 | 23.55 |
| 154 | 5.03 | 26.44 |
| 287 | 5.53 | 28.87 |
| 536 | 6.03 | 30.88 |
| 1,000 | 6.53 | 32.53 |
Methods
- Gumbel extreme-value hazard Gumbel (1958), Statistics of Extremes, Columbia University Press
- Lognormal fragility (vulnerability) FEMA (2003), HAZUS-MH Technical Manual
- Exceedance-probability curve and average annual loss Grossi and Kunreuther (2005), Catastrophe Modeling, Springer
- Levee effect Di Baldassarre and others (2013), Socio-hydrology, HESS 17
- Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Data
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page's map can draw:
- Rivers Natural Earth
- Urban extents Natural Earth
- Cities Natural Earth
- Earthquakes M4.5+, past week (USGS) U.S. Geological Survey · register usgs.earthquake.summary-feeds
- Rain rate, last half hour (IMERG) NASA GPM IMERG Early · register nasa.gibs.context-live-layers
- River discharge forecast, 30 days with range (GloFAS via Open-Meteo) Open-Meteo.com (CC BY 4.0), Copernicus GloFAS · register open-meteo.public-pages
- Built-up and settlement extent, 2010 (HBASE, Landsat) CIESIN/Columbia, NASA SEDAC HBASE · register sedac.context-urban-layers
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Disaster Risk Finance in Foundry
- Tested at Disaster Risk Finance in Universe
- Codified in Hazards and Disaster Risk Reduction in Standards
- Published in Disaster Risk Finance in Reports
- Taught in Faculty of Hazards, Disasters and Resilience in Academy
Who decides, and what the evidence serves.
Disaster Risk Finance prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Finance ministries | Whether to buy sovereign cover and how much | Pool terms, basis risk evidence and cost comparisons |
| Pool boards and risk managers | How to design triggers and price cover | Model results and payout history |
| Agriculture ministries | Whether to subsidise farm insurance and how | Take-up, cost and evaluation evidence |
| Insurance supervisors | Whether index products are fairly designed and sold | Product review and complaint data |
Outputs this topic produces
- Guide to sovereign parametric insurance and regional pools
- Brief on basis risk and how it is reduced
- Comparative notes on agricultural insurance programmes
- Questions for ministries before buying parametric cover
Trace a shock in insurance and public pools to the balance sheet.
Assembled from the Nexus Standards area profile Disaster and climate risk finance: the shocks it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Pick an initiating shock and step through the cascade to see which exposures it reaches and where losses could concentrate. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise, not a forecast, a valuation, a rating or investment advice. To model a place of your own choosing, open the full System Builder.
Hazards
- Tropical cyclone
- Earthquake
- Ice-jam flood
- Storm surge (set off downstream)
- Intense rainfall (set off downstream)
- River flood (set off downstream)
- Flash flood (set off downstream)
- Dangerous surf (set off downstream)
- Widespread power outage (set off downstream)
- Mass displacement (set off downstream)
- Coastal flood (set off downstream)
- Aftershock sequence (set off downstream)
- Fault surface rupture (set off downstream)
- Soil liquefaction (set off downstream)
- Slope slide (set off downstream)
- Rockfall (set off downstream)
- Tsunami (set off downstream)
- Building collapse (set off downstream)
Systems and couplings
Controls
NS-0Constitution and principlesNS-3Risk record UNIs (grammar, legacy crosswalk, allocation authority)NS-9Contextual UNIs (deployments, instances, programme instances)NS-10Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)NS-11Verification and monitoring (evidence, attestations, zero-trust conformance observation)NS-14Conformance and crosswalk to external standardsNRS-F8Parametric and index-based risk transferNRS-F7Disaster risk finance and pre-arranged financeNRS-H113Hazard family: Financial-system fragility (NHS-1 soc.financial-system)NRS-H114Hazard family: Macroeconomic and fiscal shocks (NHS-1 soc.macro-fiscal)NRS-D1Risk-informed development and project screeningNRS-H28Hazard family: Climate-state shifts (NHS-1 eco.climate-state)
Observation
- ERA5 reanalysis (Copernicus Climate Data Store) (listed for reference)
- CHIRPS quasi-global gridded precipitation (listed for reference)
- USGS earthquake GeoJSON summary feeds (listed for reference)
- Total public international support for national disaster risk reduction actions (Sendai indicator F-1)
- Direct economic loss attributed to disasters in relation to global GDP
Example geography
- Western Europe: 152 hexagonal cells
- Rain rate, last half hour (IMERG), NASA GIBS
- Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
- Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
- Surface soil moisture (SMAP), NASA GIBS
The questions experts ask.
- Why are so many disaster losses uninsured, and what limits insurance supply and demand?
- How do risk pools diversify risk and reduce costs for participants?
- What is basis risk in parametric cover, and how is it managed?
- What does a government or institution need in place to be ready to use insurance?
- How sustainable are pools as hazards change?
What insurance and public pools means for exposure, loss and capital.
The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.
Financing instruments by layer
How retention and transfer instruments could share losses from insurance and public pools, from frequent to extreme.
| Layer | Who holds the risk | Speed of funds | Main limit |
|---|---|---|---|
| Retention and reserves | Budget, contingency funds | Immediate | Size of the budget |
| Contingent credit | Development banks, ministries of finance | Days to weeks | Debt capacity |
| Parametric cover and risk pools | Regional pools, insurers | Days, on a trigger | Basis risk |
| Reinsurance and catastrophe bonds | Reinsurers, capital markets investors | Weeks to months | Cost of capital |
| Residual loss | Households, firms, humanitarian funding | Uncertain | Unfunded |
Pooling, parametric cover and readiness.
Insurance works best for risks that are independent, measurable and affordable. Disasters challenge all three: losses are correlated across policyholders, data can be poor, and premiums can be unaffordable for those most exposed. Pools address correlation by combining risks from different regions or perils, which reduces the capital needed per participant, and they can lower costs through shared administration and access to reinsurance markets.
Parametric insurance pays an agreed amount when a measured index, such as wind speed, rainfall or earthquake intensity, crosses a threshold, rather than after a loss assessment. This can make funds available quickly, but it introduces basis risk: the index may not reflect actual losses, so a damaging event may produce no claim payment, or a payment may exceed need. Careful index design and communication are essential.
Readiness means more than buying cover. It includes knowing the risk, having a plan for using funds, clear authority to receive and spend them, and data and systems to monitor triggers.
Methods and their limits.
Risk modelling
Catastrophe models and actuarial analysis underpin pricing; model uncertainty is large for rare events.
Programme reviews
Reviewing how pools and insurance performed after events.
Limits: historical loss data for validating indices are often short, and the long-term performance of pools under changing hazards is uncertain.
How it is studied, and what the methods cannot say.
- 01Actuarial mathematicsSizing retention and transfer layers · Pricing parametric cover · Contingency fund sizingApplied here
- 02Forecasting and time-series analysisForecast verification for triggers · Seasonal outlooks for drought financeApplied here
- 03Economics and development economicsCost of ex post versus ex ante finance · Household welfare effects · Fiscal impact of disastersApplied here
- 04Decision analysis under uncertaintyChoosing an instrument mix · Trigger threshold choice · Release rules for contingency fundsApplied here
Questions and answers.
What is parametric insurance?
What is basis risk?
Why do countries pool risk?
Does GRA sell insurance or run a pool?
Is parametric insurance better than indemnity insurance?
What is insurance readiness?
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