GRA · Sovereign Capital Nexus

Spatial financeWhere capital meets hazard, exposure and transition

Financial economics for sovereign balance sheets

Financial economics traces how shocks reach sovereign balance sheets through prices, rates and balance sheet links: commodity revenue, portfolio losses, rising borrowing costs and the ties between banks, state enterprises and the sovereign. It is the main lens for reading sovereign wealth and sovereign debt together.

01Qeyd

Financial economics for sovereign balance sheets on the record.

Method recordSTEM method
  1. RêbazAboriya fînansî û makro-fînans
  2. Applied inSovereign Capital Nexus
  3. Canonical pageSTEM Commons
02Serlêdan

What financial economics and macro-finance does here.

Financial economics and macro-finance study how asset prices, credit and financial institutions interact with the real economy. They explain how shocks are amplified or absorbed through balance sheets and markets. In sovereign and public finance and capital markets and investment, financial economics traces how physical, health or cyber shocks transmit to credit, sovereign debt and markets. It informs macroprudential policy and the pricing of risk. The canonical description is on the STEM Commons.

Sovereign asset and liability analysis

Fund assets, reserves, debt and guarantees are set on one balance sheet by currency, maturity and liquidity, so that mismatches a debt figure alone hides become visible.

Sovereign, bank and enterprise feedback

Domestic banks’ holdings of government bonds and the government’s guarantees to banks and enterprises are mapped, to trace how distress in one balance sheet moves to the others.

Asset-liability stress testing for funds

Market, commodity and interest rate shocks are applied jointly to fund portfolios and fiscal financing needs, to see whether liquid assets cover withdrawals when markets fall.

03Çavdêrî bike

Econometric model.

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

Econometric model

Sovereign capital · Financial economics for sovereign · Run R-3774

Estimates stableGRA · Sovereign Capital Nexus

Estimates

robust standard errors

Assets under management0.310.16[0.0, 0.8]Erê
Liquidity tranche cover0.210.16[−0.1, 0.7]Na
Drawdown in severe scenario0.190.10[−0.3, 0.3]Na
Domestic investment share0.150.05[0.0, 0.3]Na

Method card

Rêbaz
Aboriya fînansî û makro-fînans
Sample
10,079 obs
Sêwirandin
panel, fixed effects
Nîşan
MODELKIRÎ

Residuals by group

Econometric model: 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 financial economics and macro-finance on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DaneRolNîşan
Debt securities statistics and sovereign yieldsBorrowing cost and refinancing conditionsÇAVDÊRÎKIRÎ
Public sector balance sheet dataAssets, liabilities and net worthTEXMÎNKIRÎ
Fund annual reportsAllocation, returns and liquidityREPORTED
Bank holdings of government debtSovereign and bank exposureStatîstîkên weşandî
IMF COFER and CPISReserve currency and portfolio exposureStatîstîkên 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
2%
Primary balance that stabilises debt
0.3% of GDP
Jimar, rêbaz û çavkanî
Sal10%25%Median75%90%
070.070.070.070.070.0
168.869.770.971.872.8
268.970.171.673.174.7
369.370.672.374.376.1
469.571.172.975.477.6
569.971.774.076.678.8
670.172.174.877.880.4
770.673.176.078.981.9
871.173.776.679.882.9
971.474.477.580.584.4
1072.175.178.381.885.7

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.

Models are back-tested against historical market episodes and crises. Results are compared with supervisory data and alternative specifications.

Kontrol bikinHow it is done
Back-testing on past episodesStress scenarios are rerun on historical commodity, rate and market shocks and compared with what happened to funds and budgets
Correlation stabilityCorrelations between fund returns and borrowing costs are estimated separately for calm and stress periods
Accounting boundaryEvery consolidated view states which entities and instruments it includes and how assets are valued
Independent replicationA second analyst reproduces key results from the stated data and code

Relationships estimated in calm periods may break down in stress. Hidden leverage and interconnections are often unobserved.

07Exposure, loss and capital

What financial economics for sovereign balance sheets 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 financial economics for sovereign balance sheets.

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.

Aramiya darayî stewards financial economics and macro-finance for the Consortium and reviews how it is applied across platforms.

11Pirs

Pirs û bersiv.

What are the limits of financial economics and macro-finance in this field?
Relationships estimated in calm periods may break down in stress. Hidden leverage and interconnections are often unobserved.
How are results checked?
Models are back-tested against historical market episodes and crises. Results are compared with supervisory data and alternative specifications.
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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