On sensitivity of inference in Bayesian MSF-MGARCH models
Year of publication: |
2019
|
---|---|
Authors: | Osiewalski, Jacek ; Pajor, Anna |
Published in: |
Central European journal of economic modelling and econometrics. - [Erscheinungsort nicht ermittelbar] : Versita, ISSN 2080-119X, ZDB-ID 2529566-4. - Vol. 11.2019, 3, p. 173-197
|
Subject: | Bayesian econometrics | Gibbs sampling | time-varying volatility | multivariate GARCH processes | multivariate SV processes | Bayes-Statistik | Bayesian inference | Volatilität | Volatility | ARCH-Modell | ARCH model | Zeitreihenanalyse | Time series analysis | Multivariate Analyse | Multivariate analysis | Schätztheorie | Estimation theory | Ökonometrie | Econometrics | Schätzung | Estimation |
-
Hybrid MSV-MGARCH models : general remarks and the GMSF-SBEKK specification
Osiewalski, Jacek, (2016)
-
Bayesian analysis of latent threshold dynamic models
Nakajima, Jouchi, (2013)
-
Bayesian nonparametrics for financial volatility modeling
Zaharieva, Martina Danielova, (2017)
- More ...
-
A Note on Lenk’s Correction of the Harmonic Mean Estimator
Pajor, Anna, (2013)
-
Bayesian Analysis for Hybrid MSF-SBEKK Models of Multivariate Volatility
Osiewalski, Jacek, (2009)
-
Bayesian Value-at-Risk for a Portfolio: Multi- and Univariate Approaches Using MSF-SBEKK Models
Osiewalski, Jacek, (2010)
- More ...