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Panel TGARCH (Threshold GARCH for Panel Data)×Panel Data Fixed Effects Model×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår1993–1994 (panel extension: 2000s onward)2014
OphavspersonGlosten, Jagannathan & Runkle (1993); Zakoian (1994); extended to panel settings by subsequent applied finance literatureHsiao (textbook treatment); within transformation of panel data
TypeAsymmetric conditional volatility modelPanel data regression
Oprindelig kildeGlosten, L. R., Jagannathan, R., & Runkle, D. E. (1993). On the relation between the expected value and the volatility of the nominal excess return on stocks. Journal of Finance, 48(5), 1779–1801. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
AliasserPanel GJR-GARCH, Panel Asymmetric GARCH, Panel Threshold GARCH, TGARCH panel modelfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Relaterede45
ResuméPanel TGARCH extends the Threshold GARCH (GJR-GARCH) model to panel data, allowing each cross-sectional unit to exhibit asymmetric volatility responses — where negative shocks generate larger variance increases than positive shocks of the same magnitude — while exploiting the cross-sectional dimension to obtain more efficient parameter estimates.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
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ScholarGateSammenlign metoder: Panel TGARCH · Panel Fixed Effects. Hentet 2026-06-17 fra https://scholargate.app/da/compare