GRA · Banking Nexus
Spatial financeWhere capital meets hazard, exposure and transition
Financial economics and macro-finance explain how bank balance sheets, credit and asset prices interact with output, employment and public finances. In banking risk they connect a scenario to losses and capital, show how bank stress feeds back into the economy, and ground macroprudential and monetary decisions in tested relationships.
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 financial stability, capital markets and investment and climate and hazards, 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.
Scenario variables such as unemployment, interest rates and property prices are translated into default rates, loss rates and income for each portfolio, then into capital paths under the supervisor’s or the bank’s own assumptions.
Credit gaps, debt service ratios and lending survey responses are combined to judge the phase of the credit cycle and to inform countercyclical buffer and borrower-based measure settings.
NGFS macroeconomic and carbon price pathways are mapped to sector revenues, costs and asset values, and then to borrower credit quality over long horizons.
The equity the system loses after interbank contagion, against the initial hit, as leverage, interconnection and recovery rates change, the core of a macroprudential Testa zextê. Teaching model with stated illustrative values, not a prediction.
Kontrol
Xwendin
| Round | System equity lost (%) | Banks in default |
|---|---|---|
| 0 | 18.00 | 0 |
| 1 | 28.80 | 0 |
| 2 | 35.28 | 0 |
| 3 | 39.17 | 0 |
| 4 | 41.50 | 0 |
| 5 | 42.90 | 0 |
| 6 | 43.74 | 0 |
| 7 | 44.24 | 0 |
| 8 | 44.55 | 0 |
| 9 | 44.73 | 0 |
| 10 | 44.84 | 0 |
| 11 | 44.90 | 0 |
| 12 | 44.94 | 0 |
| 13 | 44.96 | 0 |
| 14 | 44.98 | 0 |
| 15 | 44.99 | 0 |
| 16 | 44.99 | 0 |
| 17 | 45.00 | 0 |
| 18 | 45.00 | 0 |
| 19 | 45.00 | 0 |
| 20 | 45.00 | 0 |
| 21 | 45.00 | 0 |
| 22 | 45.00 | 0 |
| 23 | 45.00 | 0 |
| 24 | 45.00 | 0 |
| 25 | 45.00 | 0 |
| 26 | 45.00 | 0 |
| 27 | 45.00 | 0 |
| 28 | 45.00 | 0 |
| 29 | 45.00 | 0 |
| 30 | 45.00 | 0 |
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.
Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium
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.
| Dane | Rol | Nîşan |
|---|---|---|
| Supervisory returns and Pillar 3 disclosures | Starting balance sheet of each bank | Statîstîkên weşandî |
| National accounts and financial accounts | Sector balance sheets and income | Statîstîkên weşandî |
| BIS credit and property price statistics | Credit cycle and collateral indicators | Statîstîkên weşandî |
| NGFS scenario variables | Transition and physical risk pathways | MODELKIRÎ |
| Bank lending surveys | Credit supply conditions | REPORTED |
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.
How financial economics for banking risk could be stressed under the scenario families central banks and supervisors use.
| Scenario family | Transition risk | Physical risk | What a stress test asks |
|---|---|---|---|
| Orderly | Early, gradual policy | Kêmtir | Can the book absorb a steady repricing? |
| Disorderly | Late, abrupt policy | Lower to medium | What breaks under a sudden repricing and credit migration? |
| Hot house world | Limited policy | High and rising | Where do physical losses concentrate in collateral and insurance? |
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 against past episodes | Satellite models are tested on whether they reproduce losses observed in previous downturns |
| Alternative specifications | Results are compared across model forms and variable choices, and the spread is reported |
| Feedback effects | Second-round effects from bank deleveraging to the economy are modelled, or their absence is stated |
| Independent benchmark | Projections are compared with supervisory or third-party results for the same scenario |
Relationships estimated in calm periods may break down in stress. Hidden leverage and interconnections are often unobserved.
Aramiya darayî stewards financial economics and macro-finance for the Consortium and reviews how it is applied across platforms.
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.
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.
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.
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