Stochastic volatility, jumps and leverage in energy and stock markets: Evidence from high frequency data
Christopher Baum,
Paola Zerilli and
Liyuan Chen
Energy Economics, 2021, vol. 93, issue C
Abstract:
In this paper, we propose a model for futures returns that has the potential to provide both individual investors and firms who have positions in financial and energy commodity futures a valid tail risk management tool. In doing so, we also aim to explore the commonalities between these markets and the degree of financialization of energy commodities. While empirical studies in energy markets embed either leverage or jumps in the futures return dynamics, we show that the introduction of both features improves the ability to forecast volatility as an indicator for risk for both the S&P500 and natural gas futures markets.
Keywords: Stochastic volatility; Energy futures; VaR; CVaR; High frequency data; Leverage effect; Jumps (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0140988319302622
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Stochastic volatility, jumps and leverage in energy and stock markets: evidence from high frequency data (2019) 
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:93:y:2021:i:c:s0140988319302622
DOI: 10.1016/j.eneco.2019.104481
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 ().