Regression modelEconometrics / time series

Model EGARCH s vremenski promjenjivim parametrima

Model TVP-EGARCH proširuje Nelsonov (1991.) eksponencijalni GARCH model dopuštajući parametrima jednadžbe volatilnosti — uključujući koeficijent efekta poluge — da kontinuirano fluktuiraju tijekom vremena. To omogućuje hvatanje strukturnih promjena i evolucije režima u volatilitetu financijskih prinosa bez nametanja fiksnog datuma prekida.

Primijenite uz EconMindUskoroVideoUskoroDownload slides

Pročitajte cijelu metodu

Samo za članove

Prijavite se besplatnim računom kako biste pročitali ovaj odjeljak.

Prijavite se

Method map

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

Izvori

  1. Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach. Econometrica, 59(2), 347–370. DOI: 10.2307/2938260
  2. Harvey, A. C. (2013). Dynamic Models for Volatility and Heavy Tails: With Applications to Financial and Economic Time Series. Cambridge University Press. ISBN: 9781107034723

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Time-Varying Parameter Exponential GARCH Model. ScholarGate. https://scholargate.app/hr/econometrics/time-varying-parameter-egarch-model

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
ScholarGateTime-varying parameter EGARCH model (Time-Varying Parameter Exponential GARCH Model). Preuzeto 2026-06-15 s https://scholargate.app/hr/econometrics/time-varying-parameter-egarch-model · Skup podataka: https://doi.org/10.5281/zenodo.20539026