Spatial financeWhere capital meets hazard, exposure and transition
Financial economics for capital markets
Financial economics explains how prices, risk premia and balance sheets turn shocks into market moves. In capital markets it is used to decompose yields and spreads, to model how leverage and margin amplify selling, and to trace how stress in one asset class reaches others, with each estimate’s assumptions and label stated.
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 capital markets and investment and financial stability, 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.
Yield curve and spread decomposition
Government yields are split into expected short rates and term premia with affine term structure models, and credit spreads into expected loss and risk premia, so a repricing can be read by its source.
Leverage and fire-sale channels
Balance sheet models trace how a price fall raises margins and haircuts, forces sales by leveraged holders and pushes prices further, with the behavioural assumptions written down.
Market-based systemic risk measures
Measures such as conditionalvalue at riskand marginalexpected shortfalldescribe which institutions contribute most to system-wide stress, reported as estimates with their sample periods.
03Exposure, loss and capital
What financial economics for capital markets 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 capital markets.
Indicator
Unit
Who reads it
Framework
CET1 ratio
% of risk-weighted assets
Banks, supervisors
Basel framework
Liquidity coverage ratio
% of stressed outflows
Banks, central banks
Basel framework
Solvency ratio
% of solvency capital requirement
Insurers, supervisors
IAIS Insurance Core Principles
Combined ratio
% of earned premium
Insurers
Actuarial practice
Protection gap
uninsured share of economic loss
Insurers, ministries of finance
Published loss statistics
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
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
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.
Financial economics for capital markets: PRISMA 2020 review reporting
10 steps·4 qonax
Pêvajo
Financial economics for capital markets: PRISMA 2020 review reporting
PRISMA 2020 is a reporting guideline for systematic reviews; the steps follow its checklist, not a mandated sequence, and no Nexus document adopts it.
01 Plan
01Registration and protocolRecord · The review teamThe guideline asks for registration details, access to the protocol and any amendments.
02Eligibility criteriaRecord · The review teamThe guideline asks for the inclusion and exclusion criteria and how studies were grouped.
02 Find and select
03Search: sources and strategiesStep · The review teamThe guideline asks for the information sources and the full search strategies. It does not fix which sources are used.
04Selection of studiesStep · The review teamThe guideline asks how studies were judged eligible, including how many reviewers screened. It does not fix the number of reviewers.
05Flow diagramTomarThe flow diagram shows the number of records found, the number of studies included and the reasons for exclusion.
03 Analyse
06Data collectionStep · The review teamThe guideline asks how data were collected from reports and which data items were sought.
07Risk of biasStep · The review teamThe guideline asks for the methods and tools used to assess risk of bias.
08SynthesisModel · The review teamThe guideline asks for the effect measures and the synthesis methods. It does not prescribe meta-analysis.
09Bawerî bi delîlanStep · The review teamThe guideline asks for the methods used to assess certainty, and reports the result per outcome. It does not name a grading scale.
04 Report
10Review reportTomarThe guideline helps authors report why the review was done, what they did and what they found.
rêzeya Pergalên StratejîkOutline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.
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 bikin
How it is done
Out-of-sample stress testing
Models are fitted on one period and tested on stress episodes not used in estimation
Specification comparison
Term premium and spread decompositions are compared across model specifications and the range is reported
Reconciliation with supervisory data
Market-based estimates are compared with published supervisory aggregates where they exist
Relationships estimated in calm periods may break down in stress. Hidden leverage and interconnections are often unobserved.
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.
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.
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Capital Markets 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.
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