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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Panel TGARCH (Threshold GARCH për të Dhëna Paneli)×GJR-GARCH (GARCH Asimetrike)×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës1993–1994 (panel extension: 2000s onward)1993
KrijuesiGlosten, Jagannathan & Runkle (1993); Zakoian (1994); extended to panel settings by subsequent applied finance literatureGlosten, Jagannathan & Runkle (1993); Zakoian (1994)
LlojiAsymmetric conditional volatility modelAsymmetric conditional volatility model
Burimi themeluesGlosten, 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 ↗Glosten, 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. The Journal of Finance, 48(5), 1779-1801. DOI ↗
Emërtime të tjeraPanel GJR-GARCH, Panel Asymmetric GARCH, Panel Threshold GARCH, TGARCH panel modelasymmetric GARCH, leverage GARCH, TGARCH, GJR-GARCH — Asimetrik GARCH (Glosten-Jagannathan-Runkle)
Të lidhura45
PërmbledhjaPanel 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.GJR-GARCH is a variant of the GARCH conditional-volatility model that captures the asymmetric effect of negative shocks on volatility using an indicator variable. It was introduced by Glosten, Jagannathan and Runkle (1993), with a closely related threshold formulation by Zakoian (1994).
ScholarGateSeti i të dhënave
  1. v1
  2. 2 Burimet
  3. PUBLISHED
  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Panel TGARCH · GJR-GARCH. Marrë më 2026-06-19 nga https://scholargate.app/sq/compare