Bayesian semiparametric stochastic volatility modeling

Mark Jensen and John Maheu

Journal of Econometrics, 2010, vol. 157, issue 2, 306-316

Abstract: This paper extends the existing fully parametric Bayesian literature on stochastic volatility to allow for more general return distributions. Instead of specifying a particular distribution for the return innovation, nonparametric Bayesian methods are used to flexibly model the skewness and kurtosis of the distribution while the dynamics of volatility continue to be modeled with a parametric structure. Our semiparametric Bayesian approach provides a full characterization of parametric and distributional uncertainty. A Markov chain Monte Carlo sampling approach to estimation is presented with theoretical and computational issues for simulation from the posterior predictive distributions. An empirical example compares the new model to standard parametric stochastic volatility models.

Keywords: Bayesian; nonparametrics; Dirichlet; process; mixture; prior; Markov; chain; Monte; Carlo; Mixture; models; Stochastic; volatility (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (73)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304-4076(10)00027-8
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Bayesian Semiparametric Stochastic Volatility Modeling (2009)
Working Paper: Bayesian semiparametric stochastic volatility modeling (2008)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:157:y:2010:i:2:p:306-316

Access Statistics for this article

Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson

More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().