Stochastic volatility with leverage: fast likelihood inference.

Kim, Shephard and Chib (1998) provided a Bayesian analysis of stochastic volatility models based on a very fast and reliable Markov chain Monte Carlo (MCMC) algorithm. Their method ruled out the leverage effect, which limited its scope for applications. Despite this, their basic method has been exte...

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المؤلفون الرئيسيون: Omori, Y, Chib, S, Shephard, N, Nakajima, J
التنسيق: Working paper
اللغة:English
منشور في: Nuffield College (University of Oxford) 2004
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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 Kim, Shephard and Chib (1998) provided a Bayesian analysis of stochastic volatility models based on a very fast and reliable Markov chain Monte Carlo (MCMC) algorithm. Their method ruled out the leverage effect, which limited its scope for applications. Despite this, their basic method has been extensively used in financial economics literature and more recently in macroeconometrics. In this paper we show how to overcome the limitation of this analysis so that the essence of the Kim, Shephard and Chib (1998) can be used to deal with the leverage effect, greatly extending the applicability of this method. Several illustrative examples are provided.
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spelling oxford-uuid:99e10121-f1ed-453a-be34-7068d9d6dcf22022-03-27T00:17:24ZStochastic volatility with leverage: fast likelihood inference.Working paperhttp://purl.org/coar/resource_type/c_8042uuid:99e10121-f1ed-453a-be34-7068d9d6dcf2EnglishDepartment of Economics - ePrintsNuffield College (University of Oxford)2004Omori, YChib, SShephard, NNakajima, JKim, Shephard and Chib (1998) provided a Bayesian analysis of stochastic volatility models based on a very fast and reliable Markov chain Monte Carlo (MCMC) algorithm. Their method ruled out the leverage effect, which limited its scope for applications. Despite this, their basic method has been extensively used in financial economics literature and more recently in macroeconometrics. In this paper we show how to overcome the limitation of this analysis so that the essence of the Kim, Shephard and Chib (1998) can be used to deal with the leverage effect, greatly extending the applicability of this method. Several illustrative examples are provided.
spellingShingle Omori, Y
Chib, S
Shephard, N
Nakajima, J
Stochastic volatility with leverage: fast likelihood inference.
title Stochastic volatility with leverage: fast likelihood inference.
title_full Stochastic volatility with leverage: fast likelihood inference.
title_fullStr Stochastic volatility with leverage: fast likelihood inference.
title_full_unstemmed Stochastic volatility with leverage: fast likelihood inference.
title_short Stochastic volatility with leverage: fast likelihood inference.
title_sort stochastic volatility with leverage fast likelihood inference
work_keys_str_mv AT omoriy stochasticvolatilitywithleveragefastlikelihoodinference
AT chibs stochasticvolatilitywithleveragefastlikelihoodinference
AT shephardn stochasticvolatilitywithleveragefastlikelihoodinference
AT nakajimaj stochasticvolatilitywithleveragefastlikelihoodinference