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Bayesian TGARCH (Threshold GARCH med Bayesiansk Estimering)

Bayesian TGARCH kombinerer Threshold GARCH-volatilitetsmodellen — som indfanger den asymmetriske respons af volatilitet på positive versus negative chok — med fuld Bayesiansk inferens via Markov Chain Monte Carlo-sampling. Resultatet er et principielt, usikkerhedsbevidst rammeværk til modellering af leverage-effekter og fedthalet finansiel afkast.

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Kilder

  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

Sådan citerer du denne side

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

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ScholarGateBayesian TGARCH (Bayesian Threshold Generalized Autoregressive Conditional Heteroscedasticity Model). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/bayesian-tgarch · Datasæt: https://doi.org/10.5281/zenodo.20539026