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GRA · Sovereign Capital Nexus

Spatial financeWhere capital meets hazard, exposure and transition

Decision analysis for sovereign choices

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.

01Qeyd

Decision analysis for sovereign choices on the record.

Method recordSTEM method
  1. RêbazAnalîza biryarê di bin nediyarî de
  2. Applied inSovereign Capital Nexus
  3. Canonical pageSTEM Commons
02Serlêdan

What decision analysis under uncertainty does here.

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.

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.

Robust fiscal and fund rules

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.

Mandate trade-offs for boards

Multi-criteria analysis sets out how candidate allocations score against return, liquidity, domestic policy goals and governance risk, with the weights made explicit.

03Çavdêrî bike

Uncertainty analysis.

The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.

Uncertainty analysis

Sovereign capital · Decision analysis for sovereign · Run R-9903

Sensitivity rankedGRA · Sovereign Capital Nexus

Total-order sensitivity

Output distribution

Têketin

Assets under managementLognormallocal bn, statedexpert elicitation
Liquidity tranche coverNormalmonths of imports, statedexpert elicitation
Drawdown in severe scenarioNormal of fund, statedexpert elicitation
Domestic investment shareNormal of fund, statedexpert elicitation
Uncertainty analysis: the screen’s structure, terms and states for Sovereign capital.Nav û nirxên nimûneyî; sêwiran e, ne qeyd an pergaleke zindî ye.
04Dane

What the method consumes.

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.

DaneRolNîşan
Scenario sets for prices, climate and demographyFutures against which choices are testedMODELKIRÎ
Catastrophe risk model outputsLoss distributions by layerMODELKIRÎ
Expert elicitation recordsProbabilities where data are thinTEXMÎNKIRÎ
Instrument terms and pricingCost of each financing optionStatîstîkên weşandî
05Scenario model

Sovereign debt paths and the odds of breaching a threshold.

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.

  • Median, 25% to 75% and 10% to 90% bands
  • No shocks

Kontrol

Debt today
70% of GDP
Effective nominal interest rate
5.0%
Nominal GDP growth
4.5%
Primary balance
−0.5% of GDP
Volatility of growth
2.0 points
Volatility of the interest rate
1.0 points
Salên pêş
10 years
Threshold of concern
90% of GDP

Xwendin

Median debt at the horizon
78% of GDP
Paths above the threshold at the horizon
3%
Primary balance that stabilises debt
0.3% of GDP
Jimar, rêbaz û çavkanî
Sal10%25%Median75%90%
070.070.070.070.070.0
169.069.770.771.973.1
269.070.371.573.174.5
368.970.572.774.676.5
469.171.073.475.677.7
569.471.774.276.879.2
669.972.274.977.881.0
770.072.775.578.882.2
870.373.176.280.383.2
970.873.877.381.284.9
1071.474.378.282.186.5

Rêbaz

  1. Debt dynamics and the interest-growth differential Blanchard (2019), Public debt and low interest rates, American Economic Review 109
  2. Stochastic fan charts Celasun, Debrun and Ostry (2006), IMF Staff Papers 53
  3. Sovereign risk and debt sustainability framework IMF (2022), Staff Guidance Note on the SRDSF

Dane

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.

Sovereign debt paths and the odds of breaching a threshold. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Debt dynamics and the interest-growth differential (Blanchard (2019), Public debt and low interest rates, American Economic Review 109); Stochastic fan charts (Celasun, Debrun and Ostry (2006), IMF Staff Papers 53); Sovereign risk and debt sustainability framework (IMF (2022), Staff Guidance Note on the SRDSF).

Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium

06Erêkirin

How results are checked.

Analyses are checked through sensitivity analysis, peer review and stakeholder scrutiny. Retrospective review compares decisions with outcomes.

Kontrol bikinHow it is done
Analîza hesasiyetêResults are recomputed with altered probabilities, weights and costs to show which choices are fragile
Performance across scenariosChoices are judged on how they perform across the whole scenario set, not on a single central case
Retrospective reviewPast 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.

07Exposure, loss and capital

What decision analysis for sovereign choices 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.

Capital, solvency and fiscal indicators

The indicators a risk officer, supervisor or ministry of finance reads first on decision analysis for sovereign choices.

IndicatorUnitWho reads itFramework
Public debt% of GDPMinistries of finance, IMFDebt Sustainability Framework
Gross financing needs% of GDP per yearMinistries of finance, investorsDebt Sustainability Framework
Contingent liabilities% of GDP, by sourceMinistries of financeFiscal risk statements
Interest to revenue% of revenueMinistries of finance, rating usersPublic finance statistics
Sovereign spreadbasis points over a benchmarkInvestors, debt managersMarket data
CET1 ratio% of risk-weighted assetsBanks, supervisorsBasel framework
Liquidity coverage ratio% of stressed outflowsBanks, central banksBasel framework
Source: the frameworks named in each row. Indicator names, units and frameworks only; values belong to each institution’s own reporting and are never shown here.
NGFS climate scenarios · Network for Greening the Financial SystemIFRS S2 Climate-related Disclosures · ISSBTCFD recommendations · Financial Stability Board TCFDPrinciples for the effective management of climate-related financial risks · Basel Committee on Banking Supervision
09Stewardship

Who maintains the method.

Rêveberiya xetera pergalî stewards decision analysis under uncertainty for the Consortium and reviews how it is applied across platforms.

11Pirs

Pirs û bersiv.

What are the limits of decision analysis under uncertainty in this field?
Results depend on elicited probabilities and preferences that may be biased. Deep uncertainty can make expected value comparisons misleading.
How are results checked?
Analyses are checked through sensitivity analysis, peer review and stakeholder scrutiny. Retrospective review compares decisions with outcomes.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Where else is this method applied?
Çavdêrxaneya canonical method page lists every platform that applies it.
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rêzeya Pergalên Stratejîk 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.

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