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Model ARCH z parametrami zmiennymi w czasie (TVP-ARCH)×Model ARCH (Autoregresywna Heteroskedastyczność Warunkowa)×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania1980s–1990s1982
TwórcaExtension of Engle (1982) ARCH; TVP-ARCH formalization credited to Nicholls & Quinn and subsequent state-space literatureRobert F. Engle
TypConditional heteroscedasticity model with time-varying coefficientsConditional volatility model
Źródło pierwotneEngle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
Inne nazwyTVP-ARCH, time-varying ARCH, adaptive ARCH, state-space ARCHARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
Pokrewne56
PodsumowanieThe Time-Varying Parameter ARCH (TVP-ARCH) model extends the classic ARCH framework by allowing both the conditional mean coefficients and the ARCH variance parameters to drift over time according to a random-walk or state-space process. This makes it possible to capture structural shifts in volatility dynamics without imposing a fixed parameter regime.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.
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ScholarGatePorównaj metody: Time-varying parameter ARCH model · ARCH model. Pobrano 2026-06-17 z https://scholargate.app/pl/compare