Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison

• المؤلفون الرئيسيون: YU, Jun, MEYER, Renate
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2006
• الموضوعات: DIC; Factors; Granger causality in volatility; Heavy-tailed distributions; MCMC; Multivariate stochastic volatility; Time-varving correlations; Econometrics
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/soe_research/360; https://ink.library.smu.edu.sg/context/soe_research/article/1359/viewcontent/Multivariate_Stochastic_Volatility_Models_Bayesian_Estimation.pdf
• المؤسسة: Singapore Management University

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 that are natural extensio...