EconPapers    
Economics at your fingertips  
 

New DCC analyses of return transmission, volatility spillovers, and optimal hedging among oil futures and oil equities in oil-producing countries

Chikashi Tsuji

Applied Energy, 2018, vol. 229, issue C, 1202-1217

Abstract: This paper examines the return transmission, volatility spillovers, dynamic correlations, and financial risks among oil futures and oil and gas sector equity returns of the US, Canada, Australia, and Russia by applying our new vector autoregressive (VAR) dynamic conditional correlation (DCC) multivariate exponential generalized autoregressive conditional heteroscedasticity (MEGARCH) model incorporating asymmetric spillovers and skew-t errors. We employ bivariate models for oil futures and oil and gas sector equity returns and a four-variate model for oil and gas sector equity returns. Our results reveal mostly unidirectional return transmission between oil futures and oil equities, unidirectional and bidirectional volatility spillovers between oil futures and oil equities, and mostly bidirectional volatility spillovers among oil equities. Interpreting our results from an informational efficiency perspective suggests that US and Canadian oil equities are more informationally efficient than Australian or Russian oil equities, and that oil futures are not always the most informationally efficient. Our results also indicate that downside risk is important in considering volatility spillovers because they are always associated with the well-known leverage effect. Using the conditional variances and covariances from our new model, we further compute more precise time-varying optimal hedge ratios and portfolio weights, and these suggest that hedging equities with oil is more effective than vice versa. This indicates the importance of the hedging function of oil on the back of globalizing and financializing energy markets.

Keywords: DCC model; International oil equities; Leverage effect; MGARCH model; Oil futures; Optimal hedge ratios; Return transmission; Skew-t errors; Volatility spillovers (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261918311607
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:appene:v:229:y:2018:i:c:p:1202-1217

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2018.08.008

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:appene:v:229:y:2018:i:c:p:1202-1217