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Inference with non-Gaussian Ornstein-Uhlenbeck processes for stochastic volatility

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Griffin, Jim E. and Steel, Mark F. J.. (2006) Inference with non-Gaussian Ornstein-Uhlenbeck processes for stochastic volatility. JOURNAL OF ECONOMETRICS, 134 (2). pp. 605-644. ISSN 0304-4076

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Official URL: http://dx.doi.org/10.1016/j.jeconom.2005.07.007

Abstract

Continuous-time stochastic volatility models are becoming an increasingly popular way to describe moderate and high-frequency financial data. Barndorff-Nielsen and Shephard (2001a) proposed a class of models where the volatility behaves according to an Ornstein-Uhlenbeck (OU) process, driven by a positive Levy process without Gaussian component. These models introduce discontinuities, or jumps, into the volatility process. They also consider superpositions of such processes and we extend that to the inclusion of a jump component in the returns. In addition, we allow for leverage effects and we introduce separate risk pricing for the volatility components. We design and implement practically relevant inference methods for such models, within the Bayesian paradigm. The algorithm is based on Markov chain Monte Carlo (MCMC) methods and we use a series representation of Levy processes. MCMC methods for such models are complicated by the fact that parameter changes will often induce a change in the distribution of the representation of the process and the associated problem of overconditioning. We avoid this problem by dependent thinning methods. An application to stock price data shows the models perform very well, even in the face of data with rapid changes, especially if a superposition of processes with different risk premiums and a leverage effect is used. (c) 2005 Elsevier B.V. All rights reserved.

Item Type: Journal Article
Subjects: H Social Sciences > HC Economic History and Conditions
Q Science > QA Mathematics
H Social Sciences
Journal or Publication Title: JOURNAL OF ECONOMETRICS
Publisher: ELSEVIER SCIENCE SA
ISSN: 0304-4076
Date: October 2006
Volume: 134
Number: 2
Number of Pages: 40
Page Range: pp. 605-644
Identification Number: 10.1016/j.jeconom.2005.07.007
Publication Status: Published
URI: http://wrap.warwick.ac.uk/id/eprint/32994

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