Regression modelEconometrics / time series

Bajezijanski TGARCH (Prag GARCH sa Bajezijanskom procenom)

Bajezijanski TGARCH kombinuje model volatilnosti prag GARCH — koji obuhvata asimetričan odgovor volatilnosti na pozitivne u poređenju sa negativnim šokovima — sa potpunom Bajezijanskom inferencijom putem Markovljevog lančanog Monte Karlo uzorkovanja. Rezultat je principijelan, svestan neizvesnosti okvir za modelovanje efekata poluge i finansijskih prinosa sa debelim repovima.

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Izvori

  1. 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
  2. Ardia, D. (2008). Financial Risk Management with Bayesian Estimation of GARCH Models: Theory and Applications. Springer. ISBN: 978-3-540-78656-6

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian Threshold Generalized Autoregressive Conditional Heteroscedasticity Model. ScholarGate. https://scholargate.app/sr/econometrics/bayesian-tgarch

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Citirana u

ScholarGateBayesian TGARCH (Bayesian Threshold Generalized Autoregressive Conditional Heteroscedasticity Model). Preuzeto 2026-06-15 sa https://scholargate.app/sr/econometrics/bayesian-tgarch · Skup podataka: https://doi.org/10.5281/zenodo.20539026