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.
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 informsmacroprudential policyand the pricing of risk. The canonical description is onthe 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 management
0.31
0.16
[0.0, 0.8]
Erê
Liquidity tranche cover
0.21
0.16
[−0.1, 0.7]
Na
Drawdown in severe scenario
0.19
0.10
[−0.3, 0.3]
Na
Domestic investment share
0.15
0.05
[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 inthe source register.
Dane
Rol
Nîşan
Debt securities statistics and sovereign yields
Borrowing cost and refinancing conditions
ÇAVDÊRÎKIRÎ
Public sector balance sheet data
Assets, liabilities and net worth
TEXMÎNKIRÎ
Fund annual reports
Allocation, returns and liquidity
REPORTED
Bank holdings of government debt
Sovereign and bank exposure
Statîstîkên weşandî
IMF COFER and CPIS
Reserve currency and portfolio exposure
Statîstîkên 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
Sal
10%
25%
Median
75%
90%
0
70.0
70.0
70.0
70.0
70.0
1
68.8
69.7
70.9
71.8
72.8
2
68.9
70.1
71.6
73.1
74.7
3
69.3
70.6
72.3
74.3
76.1
4
69.5
71.1
72.9
75.4
77.6
5
69.9
71.7
74.0
76.6
78.8
6
70.1
72.1
74.8
77.8
80.4
7
70.6
73.1
76.0
78.9
81.9
8
71.1
73.7
76.6
79.8
82.9
9
71.4
74.4
77.5
80.5
84.4
10
72.1
75.1
78.3
81.8
85.7
Rêbaz
Debt dynamics and the interest-growth differentialBlanchard (2019), Public debt and low interest rates, American Economic Review 109
Stochastic fan chartsCelasun, Debrun and Ostry (2006), IMF Staff Papers 53
Sovereign risk and debt sustainability frameworkIMF (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
Models are back-tested against historical market episodes and crises. Results are compared with supervisory data and alternative specifications.
Kontrol bikin
How it is done
Back-testing on past episodes
Stress scenarios are rerun on historical commodity, rate and market shocks and compared with what happened to funds and budgets
Correlation stability
Correlations between fund returns and borrowing costs are estimated separately for calm and stress periods
Accounting boundary
Every consolidated view states which entities and instruments it includes and how assets are valued
Independent replication
A 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.
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
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
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.
rêzeya Pergalên Stratejîkis 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.
Global Risks AllianceSovereign Capital NexusAmadebûna fînans û sîgortayê
Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.
Sovereign Capital Nexus
Bring an exposure or capital question to the Alliance.
Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.
Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.
Editors and the expert reviewers named on each article decide what we publish. Funders and partners do not review or approve articles before publication.
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.
Details
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.