ScholarGate
Assistent
Regression modelEconometrics / time series

Paneeli TGARCH (künnis-GARCH paneeliandmetele)

Paneeli TGARCH laiendab künnis-GARCH (GJR-GARCH) mudelit paneeliandmetele, võimaldades igal ristlõikeüksusel näidata asümmeetrilisi volatiilsusvastuseid — kus negatiivsed šokid põhjustavad suuremaid dispersiooni kasve kui sama suurusega positiivsed šokid — samal ajal kasutades ristlõikedimensiooni tõhusamate parameetrite hinnangute saamiseks.

Rakenda tööriistaga EconMindPeagiVideoPeagiDownload slides

Loe meetodi täielikku kirjeldust

Ainult liikmetele

Selle osa lugemiseks logi sisse tasuta kontoga.

Logi sisse

Method map

The neighbourhood of related methods — select a node to explore.

Allikad

  1. 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. Journal of Finance, 48(5), 1779–1801. DOI: 10.1111/j.1540-6261.1993.tb05128.x
  2. Zakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931–955. DOI: 10.1016/0165-1889(94)90039-6

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Panel Threshold Generalized Autoregressive Conditional Heteroscedasticity. ScholarGate. https://scholargate.app/et/econometrics/panel-tgarch

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Sellele viitavad

ScholarGatePanel TGARCH (Panel Threshold Generalized Autoregressive Conditional Heteroscedasticity). Loetud 2026-06-15 aadressilt https://scholargate.app/et/econometrics/panel-tgarch · Andmestik: https://doi.org/10.5281/zenodo.20539026