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| 구조적 분할 DCC-GARCH 모형× | Zivot-Andrews 구조적 변화 검정× | |
|---|---|---|
| 분야 | 계량경제학 | 계량경제학 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 2002-2006 | 1992 |
| 창시자≠ | Engle (2002) for DCC; break-augmented extensions by Pelletier (2006) and subsequent literature | Eric Zivot and Donald W. K. Andrews |
| 유형≠ | Multivariate volatility model with regime change | Unit root test with endogenous structural break |
| 원전≠ | Engle, 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 ↗ |
| 별칭 | DCC-GARCH with structural breaks, break-adjusted DCC-GARCH, regime-shift DCC-GARCH, SB-DCC-GARCH | ZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test |
| 관련≠ | 5 | 6 |
| 요약≠ | Structural 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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