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TGARCH Robust×Modeli ARCH (Heteroskedasticiteti i kushtëzuar Autoregresiv)×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës1994–2000s1982
KrijuesiZakoian (1994) for TGARCH; robust extensions developed through quasi-maximum likelihood and M-estimation literatureRobert F. Engle
LlojiVolatility model with asymmetry and robust estimationConditional volatility model
Burimi themeluesZakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931–955. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
Emërtime të tjerarobust GJR-GARCH, robust threshold GARCH, heavy-tail TGARCH, outlier-robust TGARCHARCH, autoregressive conditional heteroskedasticity, Engle ARCH, conditional variance model
Të lidhura66
PërmbledhjaRobust TGARCH extends the Threshold GARCH model by replacing the conventional maximum likelihood objective with an estimator that is resistant to heavy-tailed innovations and outlying observations. It captures asymmetric volatility responses — where negative shocks amplify variance more than positive shocks — while remaining reliable when the return distribution deviates strongly from normality.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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ScholarGateKrahasoni metodat: Robust TGARCH · ARCH model. Marrë më 2026-06-17 nga https://scholargate.app/sq/compare