Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison
In this paper we show that fully likelihood-based estimation and comparison of multivariate stochastic volatility (SV) models can be easily performed via a freely available Bayesian software called WinBUGS. Moreover, we introduce to the literature several new specifications which are natural extensi...
Saved in:
Main Authors: | YU, Jun, MEYER, Renate |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2004
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/819 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1818&context=soe_research |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison
by: YU, Jun, et al.
Published: (2006) -
BUGS for a Bayesian analysis of stochastic volatility models
by: Meyer, Renate, et al.
Published: (2000) -
Multivariate stochastic volatility
by: ASAI, Manabu, et al.
Published: (2006) -
Multivariate stochastic volatility: A review
by: ASAI, Manabu, et al.
Published: (2006) -
Multivariate stochastic volatility models based on generalized fisher transformation
by: CHEN, Han, et al.
Published: (2023)