Jumps and stochastic volatility in crude oil futures prices using conditional moments of integrated volatility
Christopher Baum and
Paola Zerilli
Energy Economics, 2016, vol. 53, issue C, 175-181
Abstract:
We evaluate alternative models of the volatility of commodity futures prices based on high-frequency intraday data from the crude oil futures markets for the October 2001–December 2012 period. These models are implemented with a simple GMM estimator that matches sample moments of the realized volatility to the corresponding population moments of the integrated volatility. Models incorporating both stochastic volatility and jumps in the returns series are compared on the basis of the overall fit of the data over the full sample period and subsamples. We also find that jumps in the returns series add to the accuracy of volatility forecasts.
Keywords: Stochastic volatility; Commodity futures prices; Crude oil futures (search for similar items in EconPapers)
JEL-codes: G13 Q41 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (27)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988314002515
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Jumps and stochastic volatility in crude oil futures prices using conditional moments of integrated volatility (2014) 
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:eneeco:v:53:y:2016:i:c:p:175-181
DOI: 10.1016/j.eneco.2014.10.007
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().