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Bayesovský TGARCH (prahový GARCH s Bayesovským odhadom)×Bayesovský ARCH model×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1994 / 20081982 (ARCH); 1989 (Bayesian estimation)
TvorcaZakoian (1994) for TGARCH; Bayesian estimation formalized by Ardia (2008)Robert F. Engle (ARCH, 1982); Bayesian treatment: John Geweke (1989)
TypVolatility model with asymmetric threshold and Bayesian inferenceVolatility model with Bayesian inference
Pôvodný zdrojZakoian, J.-M. (1994). Threshold heteroskedastic models. Journal of Economic Dynamics and Control, 18(5), 931-955. DOI ↗Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987–1007. DOI ↗
Ďalšie názvyBayesian TGARCH, Bayesian GJR-GARCH, Threshold GARCH with Bayesian estimation, TGARCH-BBayesian ARCH, ARCH with Bayesian estimation, Bayesian conditional heteroskedasticity model, B-ARCH
Príbuzné66
ZhrnutieBayesian TGARCH combines the Threshold GARCH volatility model — which captures the asymmetric response of volatility to positive versus negative shocks — with full Bayesian inference via Markov Chain Monte Carlo sampling. The result is a principled, uncertainty-aware framework for modeling leverage effects and fat-tailed financial returns.The Bayesian ARCH model estimates Engle's Autoregressive Conditional Heteroskedasticity specification within a Bayesian framework. Instead of maximising a likelihood, it combines a prior distribution over the volatility parameters with the data likelihood to obtain a full posterior distribution, providing richer uncertainty quantification than classical maximum-likelihood ARCH.
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ScholarGatePorovnať metódy: Bayesian TGARCH · Bayesian ARCH model. Získané 2026-06-17 z https://scholargate.app/sk/compare