scholarly journals Volatility Transmission in Energy Futures Markets

2012 ◽  
Author(s):  
Michael Soucek ◽  
Neda Todorova
Keyword(s):  
Futures Markets ◽  
Energy Futures ◽  
Volatility Transmission ◽  
Energy Futures Markets

Hedge Funds, Volatility, and Liquidity Provision in Energy Futures Markets

2007 ◽  
Vol 9 (4) ◽  
pp. 10-38 ◽  
Author(s):  
Michael S. Haigh ◽  
Jana Hranaiova ◽  
James A. Overdahl
Keyword(s):  
Hedge Funds ◽  
Futures Markets ◽  
Energy Futures ◽  
Liquidity Provision ◽  
Energy Futures Markets

Persistence in some energy futures markets

2009 ◽  
pp. n/a-n/a ◽  
Author(s):  
Juncal Cunado ◽  
Luis A. Gil-Alana ◽  
Fernando Perez De Gracia
Keyword(s):  
Futures Markets ◽  
Energy Futures ◽  
Energy Futures Markets

Trading on mean-reversion in energy futures markets

2015 ◽  
Vol 51 ◽  
pp. 312-319 ◽  
Author(s):  
Thorben Lubnau ◽  
Neda Todorova
Keyword(s):  
Futures Markets ◽  
Mean Reversion ◽  
Energy Futures ◽  
Energy Futures Markets

Dynamic co-movements and directional spillovers among energy futures

2020 ◽  
Vol 37 (4) ◽  
pp. 673-696 ◽  
Author(s):  
Sercan Demiralay ◽  
Nikolaos Hourvouliades ◽  
Athanasios Fassas
Keyword(s):  
Crude Oil ◽  
Futures Markets ◽  
Spillover Effects ◽  
Time Varying ◽  
Content Type ◽  
Energy Futures ◽  
Risk Transfer ◽  
Volatility Transmission ◽  
Heating Oil ◽  
Practical Implications

Purpose This paper aims to examine dynamic equicorrelations (DECO) and directional volatility spillover effects among four energy futures markets, namely, West Texas Intermediate crude oil, heating oil, natural gas and reformulated blendstock for oxygenate blending gasoline, by using a multivariate fractionally integrated asymmetric power ARCH–DECO–generalized autoregressive conditional heteroskedasticity (GARCH) model and the spillover index technique. Design/methodology/approach The empirical analysis uses the dynamic equicorrelation model of Engle and Kelly (2012) to examine time-varying correlations at equilibrium. The authors further analyze dynamic volatility transmission among energy futures by using Diebold and Yilmaz (2012) dynamic spillover index based on generalized value-at-risk framework. Findings The empirical results provide evidence of heightened equicorrelations at times of financial turmoil. More specifically, the dynamic spillover analysis shows that volatility is transmitted predominantly from crude oil to the other markets and risk transfer among four markets exhibits asymmetries. Spillovers are found to be highly responsive to dramatic events such as the 9/11 terror attack, 2008–2009 global financial crisis and 2014–2016 oil glut. Practical implications The results of this study have important practical implications for investors, portfolio managers and energy policymakers as the presence of time-varying co-movements and spillovers suggests the need for dynamic trading strategies. There are also implications regarding risk management practices, as there is evidence of increased volatility transmission at times of financial turmoil and uncertainty. Finally, the results provide insights to policymakers in a better understanding of the spillover dynamics. Originality/value This paper investigates the DECOs and spillover effects among crude oil, natural gas, heating oil and gasoline futures markets. To the best of the knowledge, this is one of a few studies that examine co-movements and risk transfer in energy futures in a comprehensive framework.

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