Volatility and regime models
GARCH and regime-switching models describe how volatility clusters and when markets move between calm and stressed regimes, with regime probabilities reported rather than certainties.
GRA · Capital Markets Nexus
Spatial financeWhere capital meets hazard, exposure and transition
Econometrics turns market data into estimates with stated uncertainty: volatility regimes, liquidity premia, spillovers between markets and the price response to news and policy. In capital markets it supplies the measures behind most indicators and the tests that show when a relationship has changed.
Econometrics applies statistical methods to economic data to estimate relationships, test theories and forecast. It provides empirical evidence on how shocks and policies affect economic outcomes. In capital markets and investment and financial stability, econometric evidence estimates how disasters, pandemics and financial shocks affect output, employment and prices. It informs the economic case for risk reduction. The canonical description is on the STEM Commons.
GARCH and regime-switching models describe how volatility clusters and when markets move between calm and stressed regimes, with regime probabilities reported rather than certainties.
Abnormal returns around announcements, policy decisions or geopolitical events are estimated against a model of normal returns, with the estimation window and benchmark stated.
Bid-ask spreads, price impact and illiquidity ratios are estimated from trade and quote data, and their agreement across measures is checked before any one is relied on.
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Capital markets · Econometrics for capital markets · Run R-3425
robust standard errors
| Bid-ask spread | 0.15 | 0.11 | [−0.1, 1.0] | Na |
| Market depth | −0.38 | 0.07 | [−0.3, 0.8] | Erê |
| Initial margin | −0.40 | 0.19 | [−0.2, 0.9] | Erê |
| Settlement fails | 0.13 | 0.14 | [−0.1, 0.9] | Na |
Datasets and records used by econometrics on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Dane | Rol | Nîşan |
|---|---|---|
| Trade and quote data | Liquidity and volatility estimation | ÇAVDÊRÎKIRÎ |
| Index and security returns | Event studies and regime models | ÇAVDÊRÎKIRÎ |
| Announcement and policy calendars | Event dating | Statîstîkên weşandî |
| Financial stress indices | Regime identification | MODELKIRÎ |
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.
The indicators a risk officer, supervisor or ministry of finance reads first on econometrics 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 |
Models are assessed through specification tests, robustness checks and out-of-sample performance. Results are compared across datasets and methods.
| Kontrol bikin | How it is done |
|---|---|
| Structural break tests | Stability is tested before a relationship estimated in one period is applied to another |
| Robustness to specification | Results are compared across estimation windows, benchmarks and model forms |
| Out-of-sample evaluation | Volatility and liquidity models are scored on periods not used in estimation |
Endogeneity, measurement error and structural change can bias estimates. Relationships may shift under extreme conditions.
Process explorer · Process
10 steps·4 qonax
Pêvajo
PRISMA 2020 is a reporting guideline for systematic reviews; the steps follow its checklist, not a mandated sequence, and no Nexus document adopts it.
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.
Pêşketina aborî stewards econometrics for the Consortium and reviews how it is applied across platforms.
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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