Sammenlign metoder

	Strukturell brudd EGARCH-modell	ARCH-modell (Autoregressive Conditional Heteroskedasticity)
Fagfelt	Økonometri	Økonometri
Familie	Regression model	Regression model
Opprinnelsesår	1990–1991	1982
Opphavsperson	Nelson (1991) for EGARCH; Lamoureux and Lastrapes (1990) for break-augmented GARCH variants	Robert F. Engle
Type	Volatility model with structural breaks	Conditional volatility model
Opprinnelig kilde	Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370.	Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007.
Alias	SB-EGARCH, EGARCH with regime shifts, break-adjusted EGARCH, structural change EGARCH	ARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
Relaterte	5	6
Sammendrag	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.	The ARCH model, introduced by Robert Engle in 1982, captures time-varying volatility in financial and macroeconomic time series. It models the conditional variance of today's error as a function of past squared errors, explaining why volatile periods cluster together — a phenomenon known as volatility clustering.