Bayesian analysis of periodic asymmetric power GARCH models
Year of publication: |
2020
|
---|---|
Authors: | Aknouche, Abdelhakim ; Demmouche, Nacer ; Dimitrakopoulos, Stefanos ; Touche, Nassim |
Published in: |
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet. - Berlin : De Gruyter, ISSN 1558-3708, ZDB-ID 1385261-9. - Vol. 24.2020, 4, p. 1-24
|
Subject: | Bayesian forecasting | Deviance Information Criterion | Griddy-Gibbs | periodic asymmetric power GARCH model | probability properties | Value at Risk | ARCH-Modell | ARCH model | Bayes-Statistik | Bayesian inference | Prognoseverfahren | Forecasting model | Theorie | Theory | Risikomaß | Risk measure | Volatilität | Volatility | Kapitaleinkommen | Capital income | Zeitreihenanalyse | Time series analysis | Aktienindex | Stock index |
-
Bayesian quantile forecasting via the realized hysteretic GARCH model
Chen, Cathy W. S., (2022)
-
Makatjane, Katleho, (2021)
-
Tail risk forecasting of realized volatility CAViaR models
Chen, Cathy W. S., (2023)
- More ...
-
Bayesian MCMC analysis of periodic asymmetric power GARCH models
Aknouche, Abdelhakim, (2018)
-
Integer-valued stochastic volatility
Aknouche, Abdelhakim, (2019)
-
Negative binomial quasi-likelihood inference for general integer-valued time series models
Aknouche, Abdelhakim, (2016)
- More ...