Salīdzināt metodes

	Modelis ar strukturālām pārtraukuma vietām DCC-GARCH	EGARCH modelis ar strukturālām pārtraukumiem
Nozare	Ekonometrija	Ekonometrija
Saime	Regression model	Regression model
Izcelsmes gads	2002-2006	1990–1991
Autors	Engle (2002) for DCC; break-augmented extensions by Pelletier (2006) and subsequent literature	Nelson (1991) for EGARCH; Lamoureux and Lastrapes (1990) for break-augmented GARCH variants
Tips	Multivariate volatility model with regime change	Volatility model with structural breaks
Pirmavots	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.	Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370.
Citi nosaukumi	DCC-GARCH with structural breaks, break-adjusted DCC-GARCH, regime-shift DCC-GARCH, SB-DCC-GARCH	SB-EGARCH, EGARCH with regime shifts, break-adjusted EGARCH, structural change EGARCH
Saistītās	5	5
Kopsavilkums	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.	Structural Break EGARCH combines Nelson's Exponential GARCH framework with explicit allowance for one or more structural breaks in the volatility process. By letting the intercept and persistence parameters of the log-variance equation shift at detected break dates, the model avoids the spurious long-memory and inflated persistence that standard EGARCH suffers when the data contain regime changes.