The paper proposes a multivariate stochastic volatility model where shifts in volatility are endogenously driven by large return shocks. The model proposed generalizes the univariate stochastic volatility model of Dendramis and colleagues to a multivariate context. Allowing for multivariate dependence permits the volatility of common return factors to affect individual stock returns volatility jointly. The model is further extended to allow for endogenous thresholds that depend on covariates. Model selection priors are introduced and the new techniques are applied by using data from the FTSE100‐index
Most multivariate variance or volatility models suffer from a common problem, the “curse of dimensio...
My DPhil thesis includes three essays on time series econometrics and financial econometrics, prece...
The aim of this paper is to consider multivariate stochastic volatility models for large dimensional...
We introduce a multivariate stochastic volatility model that imposes no restrictions on the structur...
We propose a Bayesian stochastic search approach to selecting restrictions on multivariate regressio...
This paper is concerned with the Bayesian estimation and comparison of flexible, high dimensional mu...
http://www.grips.ac.jp/list/jp/facultyinfo/leon_gonzalez_roberto/First version: October, 2018 [18-12...
This thesis introduces a generalization of the Threshold Stochastic Volatility (THSV) model proposed...
This paper is concerned with the Bayesian estimation and comparison of flexible, high dimensional mu...
Published in Econometric Reviews, 2006. https://doi.org/10.1080/07474930600713564</p
Economic and Social Research CouncilUK Research & Innovation (UKRI)Economic & Social Researc...
The aim of this paper is to consider multivariate stochastic volatility models for large dimensional...
A new multivariate stochastic volatility model is developed in this paper. The main feature of this ...
This paper is concerned with the Bayesian estimation and comparison of flexible, high di-mensional m...
We introduce in this paper a multivariate threshold stochastic volatility model for multiple financi...
Most multivariate variance or volatility models suffer from a common problem, the “curse of dimensio...
My DPhil thesis includes three essays on time series econometrics and financial econometrics, prece...
The aim of this paper is to consider multivariate stochastic volatility models for large dimensional...
We introduce a multivariate stochastic volatility model that imposes no restrictions on the structur...
We propose a Bayesian stochastic search approach to selecting restrictions on multivariate regressio...
This paper is concerned with the Bayesian estimation and comparison of flexible, high dimensional mu...
http://www.grips.ac.jp/list/jp/facultyinfo/leon_gonzalez_roberto/First version: October, 2018 [18-12...
This thesis introduces a generalization of the Threshold Stochastic Volatility (THSV) model proposed...
This paper is concerned with the Bayesian estimation and comparison of flexible, high dimensional mu...
Published in Econometric Reviews, 2006. https://doi.org/10.1080/07474930600713564</p
Economic and Social Research CouncilUK Research & Innovation (UKRI)Economic & Social Researc...
The aim of this paper is to consider multivariate stochastic volatility models for large dimensional...
A new multivariate stochastic volatility model is developed in this paper. The main feature of this ...
This paper is concerned with the Bayesian estimation and comparison of flexible, high di-mensional m...
We introduce in this paper a multivariate threshold stochastic volatility model for multiple financi...
Most multivariate variance or volatility models suffer from a common problem, the “curse of dimensio...
My DPhil thesis includes three essays on time series econometrics and financial econometrics, prece...
The aim of this paper is to consider multivariate stochastic volatility models for large dimensional...