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
Keuangan spasialTempat modal bertemu bahaya, keterpaparan, dan transisi
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 pengurangan risiko. The canonical description is on 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.
Layar yang akan digunakan sebuah tim untuk mengikuti metode ini: ukuran, status, dan keputusannya. Nama adalah contoh dan nilai bersifat ilustratif.
Capital markets · Econometrics for capital markets · Run R-3425
galat standar yang tangguh
| Selisih harga beli-jual | 0.15 | 0.11 | [−0.1, 1.0] | Tidak |
| Market depth | −0.38 | 0.07 | [−0.3, 0.8] | Ya |
| Margin awal | −0.40 | 0.19 | [−0.2, 0.9] | Ya |
| Kegagalan penyelesaian | 0.13 | 0.14 | [−0.1, 0.9] | Tidak |
Datasets and records used by econometrics on this platform, with the role each plays and the label its values carry. Sources are listed in register sumber.
| Data | Peran | Label |
|---|---|---|
| Trade and quote data | Liquidity and volatility estimation | TERAMATI |
| Index and security returns | Event studies and regime models | TERAMATI |
| Announcement and policy calendars | Event dating | Statistik yang diterbitkan |
| Financial stress indices | Regime identification | DIMODELKAN |
Tampilan eksposur, kerugian, skenario, dan modal yang akan diminta oleh pejabat risiko, otoritas pengawas, atau kementerian keuangan, beserta kerangka pelaporan yang mereka gunakan. Strukturnya mengikuti praktik pengawasan dan aktuaria. Nilai bersifat ilustratif: tidak pernah merupakan harga, peringkat, atau saran.
The indicators a risk officer, supervisor or ministry of finance reads first on econometrics for capital markets.
| Indikator | Unit | Siapa yang membaca | Kerangka |
|---|---|---|---|
| Rasio CET1 | % aset tertimbang menurut risiko | Bank, otoritas pengawas | Kerangka Basel |
| Rasio kecukupan likuiditas | % arus keluar dalam tekanan | Bank, bank sentral | Kerangka Basel |
| Rasio solvabilitas | % persyaratan modal solvabilitas | Perusahaan asuransi, otoritas pengawas | IAIS Insurance Core Principles |
| Rasio gabungan | % premi yang diperoleh | Perusahaan asuransi | Praktik aktuaria |
| Kesenjangan perlindungan | porsi kerugian ekonomi yang tidak diasuransikan | Perusahaan asuransi, kementerian keuangan | Statistik kerugian yang diterbitkan |
| Utang publik | % PDB | Kementerian keuangan, IMF | Kerangka Keberlanjutan Utang |
| Kebutuhan pembiayaan bruto | % PDB per tahun | Kementerian keuangan, investor | Kerangka Keberlanjutan Utang |
Models are assessed through specification tests, robustness checks and out-of-sample performance. Results are compared across datasets and methods.
| Pemeriksaan | Cara pelaksanaannya |
|---|---|
| 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 tahap
Proses
PRISMA 2020 adalah pedoman pelaporan untuk tinjauan sistematis; langkah-langkahnya mengikuti daftar periksanya, bukan urutan yang diwajibkan, dan tidak ada dokumen Nexus yang mengadopsinya.
LaporanOutline 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.
Pembangunan Ekonomi 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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