Stochastic Volatility with Leverage: Fast and Efficient Likelihood Inference.

This paper is concerned with the Bayesian analysis of stochastic volatility (SV) models with leverage. Specifically, the paper shows how the often used Kim et al., [1998. Stochastic volatility: likelihood inference and comparison with ARCH models. Review of Economic Studies 65, 361-393] method that...

Full description

Bibliographic Details
Main Authors: Omori, Y, Chib, S, Shephard, N, Nakajima, J
Format: Journal article
Language:English
Published: Elsevier 2007
_version_ 1826302710307094528
author Omori, Y
Chib, S
Shephard, N
Nakajima, J
author_facet Omori, Y
Chib, S
Shephard, N
Nakajima, J
author_sort Omori, Y
collection OXFORD
description This paper is concerned with the Bayesian analysis of stochastic volatility (SV) models with leverage. Specifically, the paper shows how the often used Kim et al., [1998. Stochastic volatility: likelihood inference and comparison with ARCH models. Review of Economic Studies 65, 361-393] method that was developed for SV models without leverage can be extended to models with leverage. The approach relies on the novel idea of approximating the joint distribution of the outcome and volatility innovations by a suitably constructed ten-component mixture of bivariate normal distributions. The resulting posterior distribution is summarized by MCMC methods and the small approximation error in working with the mixture approximation is corrected by a reweighting procedure. The overall procedure is fast and highly efficient. We illustrate the ideas on daily returns of the Tokyo Stock Price Index. Finally, extensions of the method are described for superposition models (where the log-volatility is made up of a linear combination of heterogenous and independent autoregressions) and heavy-tailed error distributions (student and log-normal).
first_indexed 2024-03-07T05:51:41Z
format Journal article
id oxford-uuid:e9199508-29f0-4865-aa3e-18b06e25934f
institution University of Oxford
language English
last_indexed 2024-03-07T05:51:41Z
publishDate 2007
publisher Elsevier
record_format dspace
spelling oxford-uuid:e9199508-29f0-4865-aa3e-18b06e25934f2022-03-27T10:51:48ZStochastic Volatility with Leverage: Fast and Efficient Likelihood Inference.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:e9199508-29f0-4865-aa3e-18b06e25934fEnglishDepartment of Economics - ePrintsElsevier2007Omori, YChib, SShephard, NNakajima, JThis paper is concerned with the Bayesian analysis of stochastic volatility (SV) models with leverage. Specifically, the paper shows how the often used Kim et al., [1998. Stochastic volatility: likelihood inference and comparison with ARCH models. Review of Economic Studies 65, 361-393] method that was developed for SV models without leverage can be extended to models with leverage. The approach relies on the novel idea of approximating the joint distribution of the outcome and volatility innovations by a suitably constructed ten-component mixture of bivariate normal distributions. The resulting posterior distribution is summarized by MCMC methods and the small approximation error in working with the mixture approximation is corrected by a reweighting procedure. The overall procedure is fast and highly efficient. We illustrate the ideas on daily returns of the Tokyo Stock Price Index. Finally, extensions of the method are described for superposition models (where the log-volatility is made up of a linear combination of heterogenous and independent autoregressions) and heavy-tailed error distributions (student and log-normal).
spellingShingle Omori, Y
Chib, S
Shephard, N
Nakajima, J
Stochastic Volatility with Leverage: Fast and Efficient Likelihood Inference.
title Stochastic Volatility with Leverage: Fast and Efficient Likelihood Inference.
title_full Stochastic Volatility with Leverage: Fast and Efficient Likelihood Inference.
title_fullStr Stochastic Volatility with Leverage: Fast and Efficient Likelihood Inference.
title_full_unstemmed Stochastic Volatility with Leverage: Fast and Efficient Likelihood Inference.
title_short Stochastic Volatility with Leverage: Fast and Efficient Likelihood Inference.
title_sort stochastic volatility with leverage fast and efficient likelihood inference
work_keys_str_mv AT omoriy stochasticvolatilitywithleveragefastandefficientlikelihoodinference
AT chibs stochasticvolatilitywithleveragefastandefficientlikelihoodinference
AT shephardn stochasticvolatilitywithleveragefastandefficientlikelihoodinference
AT nakajimaj stochasticvolatilitywithleveragefastandefficientlikelihoodinference