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DCC-GARCH (Dynamic Conditional Correlation)×Value at Risk (VaR)×
BidangKewanganKewangan
KeluargaRegression modelRegression model
Tahun asal20022007
PengasasRobert F. EngleJorion (textbook benchmark); popularised by RiskMetrics / J.P. Morgan
JenisMultivariate volatility modelFinancial risk measure
Sumber perintisEngle, R. (2002). Dynamic Conditional Correlation: A Simple Class of Multivariate GARCH Models. Journal of Business & Economic Statistics, 20(3), 339-350. DOI ↗Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk (3rd ed.). McGraw-Hill. ISBN: 978-0071464956
Aliasdynamic conditional correlation, Engle DCC, multivariate GARCH, DCC-GARCH — Dinamik Koşullu KorelasyonVaR, value-at-risk, delta-normal VaR, historical simulation VaR
Berkaitan55
RingkasanDCC-GARCH is Engle's (2002) multivariate volatility model that lets the correlations between several assets change over time. A separate univariate GARCH model is fitted to each series, and then the dynamic correlation matrix is estimated in a second, separate step.Value at Risk is a financial risk measure that estimates the maximum loss a position or portfolio could suffer over a fixed holding period at a given confidence level. It is the standard benchmark in risk management and regulatory capital calculations, developed in the textbook tradition of Jorion (2007) and the Basel market-risk framework.
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ScholarGateBandingkan kaedah: DCC-GARCH · Value at Risk. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare