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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)×Panel EGARCH×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës1993–1994 (panel extension: 2000s onward)1991 (EGARCH); panel extensions widely used from 2000s
KrijuesiGlosten, Jagannathan & Runkle (1993); Zakoian (1994); extended to panel settings by subsequent applied finance literatureDaniel B. Nelson (EGARCH); panel extension by applied econometrics literature
LlojiAsymmetric conditional volatility modelVolatility 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 ↗Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI ↗
Emërtime të tjeraPanel GJR-GARCH, Panel Asymmetric GARCH, Panel Threshold GARCH, TGARCH panel modelPanel EGARCH model, panel exponential GARCH, EGARCH for panel data, cross-sectional EGARCH
Të lidhura44
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.Panel EGARCH extends Nelson's (1991) Exponential GARCH model to a panel setting, allowing conditional variance to evolve asymmetrically over time for each cross-sectional unit. The log specification ensures non-negative variance without parameter constraints, and the leverage term distinguishes whether negative shocks amplify volatility more than positive ones of equal magnitude.
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  2. 2 Burimet
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  1. v1
  2. 2 Burimet
  3. PUBLISHED

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ScholarGateKrahasoni metodat: Panel TGARCH · Panel EGARCH. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare