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نموذج DCC-GARCH للكسر الهيكلي×اختبار Zivot-Andrews للكسر الهيكلي×
المجالالاقتصاد القياسيالاقتصاد القياسي
العائلةRegression modelRegression model
سنة النشأة2002-20061992
صاحب الطريقةEngle (2002) for DCC; break-augmented extensions by Pelletier (2006) and subsequent literatureEric Zivot and Donald W. K. Andrews
النوعMultivariate volatility model with regime changeUnit root test with endogenous structural break
المصدر التأسيسيEngle, R. F. (2002). Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. Journal of Business and Economic Statistics, 20(3), 339-350. DOI ↗Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. DOI ↗
الأسماء البديلةDCC-GARCH with structural breaks, break-adjusted DCC-GARCH, regime-shift DCC-GARCH, SB-DCC-GARCHZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test
ذات صلة56
الملخصStructural break DCC-GARCH extends Engle's Dynamic Conditional Correlation GARCH framework by explicitly allowing the correlation and volatility structure to shift at one or more structural break points in the sample. It models time-varying co-volatility between multiple financial series while accounting for sudden regime changes caused by crises, policy shifts, or market microstructure changes.The Zivot-Andrews (ZA) test is a unit root test that endogenously identifies the most likely location of a single structural break in a time series. Unlike the standard ADF test, it does not require the researcher to pre-specify when the break occurred, making it robust to data-driven regime shifts such as policy changes, financial crises, or major economic events.
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ScholarGateقارن الطرق: Structural break DCC-GARCH · Zivot-Andrews Structural Break Test. استُرجع بتاريخ 2026-06-18 من https://scholargate.app/ar/compare