Disaster risk layering choices
Retention and transfer options are compared on cost, speed of payout and basis risk across loss scenarios, to show how a mix of reserves, contingent credit and insurance performs.
GRA · Sovereign Capital Nexus
Spatial financeWhere capital meets hazard, exposure and transition
Sovereign wealth and debt decisions are made under deep uncertainty about commodity prices, climate pathways, disasters, geopolitics and demographic change. Decision analysis makes the trade-offs between saving, spending, insuring and borrowing explicit, and tests choices across many futures rather than a single forecast.
Decision analysis under uncertainty provides structured methods for choosing among options when outcomes are uncertain and objectives conflict. It makes trade-offs and value judgements explicit. In sovereign and public finance and capital markets and investment, decision analysis helps choose actions that perform acceptably across interconnected risks and uncertain futures. It clarifies when to act now and when to keep options open. The canonical description is on the STEM Commons.
Retention and transfer options are compared on cost, speed of payout and basis risk across loss scenarios, to show how a mix of reserves, contingent credit and insurance performs.
Candidate deposit and withdrawal rules are run across many price and return paths and judged on how often they breach spending, saving or liquidity thresholds.
Multi-criteria analysis sets out how candidate allocations score against return, liquidity, domestic policy goals and governance risk, with the weights made explicit.
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Sovereign capital · Decision analysis for sovereign · Run R-9903
| Assets under management | Lognormal | local bn, stated | expert elicitation |
| Liquidity tranche cover | ئاسایی | months of imports, stated | expert elicitation |
| Drawdown in severe scenario | ئاسایی | of fund, stated | expert elicitation |
| Domestic investment share | ئاسایی | of fund, stated | expert elicitation |
Datasets and records used by decision analysis under uncertainty on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| داتا | ڕۆڵ | ناونیشان |
|---|---|---|
| Scenario sets for prices, climate and demography | Futures against which choices are tested | مۆدێلکراو |
| Catastrophe risk model outputs | Loss distributions by layer | مۆدێلکراو |
| Expert elicitation records | Probabilities where data are thin | مەزەندەکراو |
| Instrument terms and pricing | Cost of each financing option | ئامارە بڵاوکراوەکان |
The distribution of debt paths, and the share above a threshold of concern at the horizon, that sovereign investors and rating analysts read from a fan chart. Teaching model with stated illustrative values, not a prediction.
کۆنترۆڵەکان
خوێندنەوەکان
| ساڵ | 10% | 25% | Median | 75% | 90% |
|---|---|---|---|---|---|
| 0 | 70.0 | 70.0 | 70.0 | 70.0 | 70.0 |
| 1 | 69.0 | 69.7 | 70.7 | 71.9 | 73.1 |
| 2 | 69.0 | 70.3 | 71.5 | 73.1 | 74.5 |
| 3 | 68.9 | 70.5 | 72.7 | 74.6 | 76.5 |
| 4 | 69.1 | 71.0 | 73.4 | 75.6 | 77.7 |
| 5 | 69.4 | 71.7 | 74.2 | 76.8 | 79.2 |
| 6 | 69.9 | 72.2 | 74.9 | 77.8 | 81.0 |
| 7 | 70.0 | 72.7 | 75.5 | 78.8 | 82.2 |
| 8 | 70.3 | 73.1 | 76.2 | 80.3 | 83.2 |
| 9 | 70.8 | 73.8 | 77.3 | 81.2 | 84.9 |
| 10 | 71.4 | 74.3 | 78.2 | 82.1 | 86.5 |
No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.
لە ناو شەش کۆڵەکەکەدا، بە سەرپەرشتیی Nexus Consortium
Analyses are checked through sensitivity analysis, peer review and stakeholder scrutiny. Retrospective review compares decisions with outcomes.
| بپشکنە | How it is done |
|---|---|
| شیکاری هەستیاری | Results are recomputed with altered probabilities, weights and costs to show which choices are fragile |
| Performance across scenarios | Choices are judged on how they perform across the whole scenario set, not on a single central case |
| Retrospective review | Past decisions are compared with outcomes to improve elicitation and scenario design |
Results depend on elicited probabilities and preferences that may be biased. Deep uncertainty can make expected value comparisons misleading.
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.
The indicators a risk officer, supervisor or ministry of finance reads first on decision analysis for sovereign choices.
| Indicator | Unit | Who reads it | Framework |
|---|---|---|---|
| Public debt | % of GDP | Ministries of finance, IMF | Debt Sustainability Framework |
| Gross financing needs | % of GDP per year | Ministries of finance, investors | Debt Sustainability Framework |
| Contingent liabilities | % of GDP, by source | Ministries of finance | Fiscal risk statements |
| Interest to revenue | % of revenue | Ministries of finance, rating users | Public finance statistics |
| Sovereign spread | basis points over a benchmark | Investors, debt managers | Market data |
| CET1 ratio | % of risk-weighted assets | Banks, supervisors | Basel framework |
| Liquidity coverage ratio | % of stressed outflows | Banks, central banks | Basel framework |
بەڕێوەبردنی مەترسیی سیستەمی stewards decision analysis under uncertainty for the Consortium and reviews how it is applied across platforms.
Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
هەرگیز داتای کەسی، وردەکاریی هەستیاری ژێرخان یان هیچ شتێک مەنێرە کە مافی بڵاوکردنەوەت نییە. بەشدارییەک پێش بەکارهێنان پێداچوونەوەی بۆ دەکرێت؛ ناردنی ماف نابەخشێت بە نووسەرایەتی یان بەڕێوەبردنی ڕاگەیاندن، و پاڵپشتی دارایی هەرگیز دۆزینەوەیەک ناکڕێت.
زانیاری و پرسیار ئەمڕۆ کراوەن. پرسیارێک ژمارەی ئاماژەی پێدەدرێت و هەنگاوی دواتر دیاری دەکات؛ داواکاری، پارەدان، تەرخانکردنی کۆمپیوتەر و تۆمارکردن تەنیا کاتێک دەکرێنەوە کە تیم، مەرج و توانای پێداچوونەوەیان هەبێت.
نەخشە، داتا و وێنەکانی ئەم ماڵپەڕە بۆ ناوەڕۆک و زانیاریی گشتی پیشان دراون. ئامۆژگاری، پێشبینی یان ئاگادارکردنەوە نین؛ سنوورەکانی زانیارییەکە لە ڕەتکردنەوەی بەرپرسیارێتی و ئاگاداریی داتادا دەستنیشان کراون.
This site uses only strictly necessary cookies to work and to remember your privacy choices. Nothing loads from other companies, and we never sell or share your personal information.
This site uses only strictly necessary cookies to work and to remember your privacy choices. Nothing loads from other companies, and we never sell or share your personal information. We run no advertising. You can review your choices at any time through Privacy choices at the foot of every page.