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Equity market implied volatility and energy prices: A double threshold GARCH approach

Author

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  • Cochran, Steven J.
  • Mansur, Iqbal
  • Odusami, Babatunde

Abstract

This study investigates the role of VIX in determining the returns and return volatilities of oil, heating oil, gasoline, and natural gas. A double threshold GARCH(1,1) methodology is utilized where the VIX index is used as the threshold regime change indicator. Daily data from January 4, 1999, to December 31, 2013, are used. A sub-period analysis covering only the financial crisis period of January 2, 2007, to December 31, 2009, is also performed. This study provides evidence that the level of equity market volatility (i.e., VIX) that triggers a regime shift is commodity specific. The results also indicate that the threshold VIX values are time varying. Furthermore, natural gas prices appear to withstand considerably more volatility in the equity market than do the prices of other energy commodities. This relationship is even more pronounced during the financial crisis period. Approximately 70% and 50% of the estimated coefficients display asymmetric sensitivities due to regime changes during the entire period and the crisis period, respectively. The findings have practical implications as the underlying volatility of an asset plays a significant role in determining its associated activity in the futures markets.

Suggested Citation

  • Cochran, Steven J. & Mansur, Iqbal & Odusami, Babatunde, 2015. "Equity market implied volatility and energy prices: A double threshold GARCH approach," Energy Economics, Elsevier, vol. 50(C), pages 264-272.
  • Handle: RePEc:eee:eneeco:v:50:y:2015:i:c:p:264-272
    DOI: 10.1016/j.eneco.2015.05.013
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    Cited by:

    1. Chang, C-L. & Hsieh, T-L. & McAleer, M.J., 2016. "How are VIX and Stock Index ETF Related?," Econometric Institute Research Papers EI2016-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "Connecting VIX and Stock Index ETF," Tinbergen Institute Discussion Papers 16-010/III, Tinbergen Institute, revised 23 Jan 2017.
    3. Luca Caneparo, 2020. "Financing the (Environmental) Quality of Cities with Energy Efficiency Investments," Sustainability, MDPI, vol. 12(21), pages 1-25, October.
    4. Syeda Tayyaba Ijaz & Sumayya Chughtai, 2022. "The Impact of Financial, Economic and Environmental Factors on Energy Efficiency, Intensity, and Dependence: The Moderating Role of Governance and Institutional Quality," International Journal of Energy Economics and Policy, Econjournals, vol. 12(4), pages 15-31, July.
    5. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
    6. Qadan, Mahmoud & Idilbi-Bayaa, Yasmeen, 2020. "Risk appetite and oil prices," Energy Economics, Elsevier, vol. 85(C).
    7. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.

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    More about this item

    Keywords

    VIX; Energy prices; Double threshold GARCH;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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