EconPapers    
Economics at your fingertips  
 

Volatility in crude oil futures: A comparison of the predictive ability of GARCH and implied volatility models

Paolo Agnolucci

Energy Economics, 2009, vol. 31, issue 2, 316-321

Abstract: The WTI future contract quoted at the NYMEX is the most actively traded instrument in the energy sector. This paper compares the predictive ability of two approaches which can be used to forecast volatility: GARCH-type models where forecasts are obtained after estimating time series models, and an implied volatility model where forecasts are obtained by inverting one of the models used to price options. Although the main scope of the research discussed here is to evaluate which model produces the best forecast of volatility for the WTI future contract, evaluated according to statistical and regression-based criteria, we also investigate whether volatility of the oil futures are affected by asymmetric effects, whether parameters of the GARCH models are influenced by the distribution of the errors and whether allowing for a time-varying long-run mean in the volatility produces any improvement on the forecast obtained from GARCH models.

Keywords: Oil; price; GARCH; Implied; volatility; (IV) (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (188)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140-9883(08)00165-5
Full text for ScienceDirect subscribers only

Related works:
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:31:y:2009:i:2:p:316-321

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:eneeco:v:31:y:2009:i:2:p:316-321