GRA · Disaster Risk Finance
Spatial financeWhere capital meets hazard, exposure and transition
Professional research
Disaster Risk Finance research asks how much disasters cost public budgets and households, how to layer instruments by frequency and severity, whether pre-arranged money arrives faster and helps more, and how basis risk and debt clauses perform when tested by real events.
Professional research on the record.
- 01NyanjaDisaster and crisis, Sovereign and public finance, Development finance, Insurance and catastrophe
- 02STEM methods4 canonical methods applied
- 03Topics8 subject pages
- 04Counterparts6 platforms in shared fields
- 05PublisherGlobal Risks Alliance
- 06Analysis uncertaintyAnalysis and uncertainty
- 07Financial sourceFinancial source and licence register
What the research asks.
- 01
Risk financing layers
Retention, contingency and external risk transfer.
- 02
Sovereign contingent liabilities
Disaster costs and budget exposures.
- 03
Insurance and public pools
Pools and insurance readiness.
- 04
Anticipatory finance
Triggers and preparedness evidence.
- 05
Post disaster financing
Liquidity timing and recovery resources.
- 06
Public investment and resilience
Risk-sensitive budget and capital projects.
Questions, methods and limits.
| Swali | Method | Kikomo |
|---|---|---|
| What do disasters cost the budget? | Tagging of post-event spending and PDNA results | Untagged budget data |
| Which layer suits which instrument? | Loss distributions and cost-of-funds comparison | Short loss histories |
| Does early money reduce losses? | Evaluation of anticipatory programmes | Few rigorous studies |
| How did parametric covers perform? | Comparison of payments with reported losses | Reported losses are incomplete |
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Results are labelled as observed, published statistics, estimated, modelled, forecast, scenario or expert judgement. Missing data is shown as missing, never filled silently.
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