Skip to main content
Article
SV mixture models with application to S&P 500 index returns
Journal of Financial Economics
  • Garland B. Durham, University of Colorado Boulder
Publication Date
9-1-2007
Abstract

Understanding both the dynamics of volatility and the shape of the distribution of returns conditional on the volatility state is important for many financial applications. A simple single-factor stochastic volatility model appears to be sufficient to capture most of the dynamics. It is the shape of the conditional distribution that is the problem. This paper examines the idea of modeling this distribution as a discrete mixture of normals. The flexibility of this class of distributions provides a transparent look into the tails of the returns distribution. Model diagnostics suggest that the model, SV-mix, does a good job of capturing the salient features of the data. In a direct comparison against several affine-jump models, SV-mix is strongly preferred by Akaike and Schwarz information criteria.

Disciplines
Citation Information
Garland B. Durham. "SV mixture models with application to S&P 500 index returns" Journal of Financial Economics Vol. 85 (2007) p. 822 - 856
Available at: http://works.bepress.com/gbdurham/6/