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Volatility Transmission between Oil and LME Futures

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  • Jaehwan Park

Abstract

This paper investigates the volatility transmission between oil and base metals to assess the possibility of hedge strategy across commodity markets. In order to identify the volatility linkage of oil to the base metals, the bivariate GARCH model is applied using daily returns data period over 2000-2016. It is found that evidence of volatility transmission between oil and base metals is somewhat strong with a 1% significant level. This result suggests the investment idea of commodity hedging strategy of cross-market is important.

Suggested Citation

  • Jaehwan Park, 2018. "Volatility Transmission between Oil and LME Futures," Applied Economics and Finance, Redfame publishing, vol. 5(2), pages 65-72, March.
  • Handle: RePEc:rfa:aefjnl:v:5:y:2018:i:2:p:65-72
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    References listed on IDEAS

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    1. Bradley T. Ewing & Farooq Malik, 2010. "Estimating Volatility Persistence in Oil Prices Under Structural Breaks," The Financial Review, Eastern Finance Association, vol. 45(4), pages 1011-1023, November.
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    5. Ratti, Ronald A & Vespignani, Joaquin L., 2012. "Why are crude oil prices high when global activity is weak?," MPRA Paper 43777, University Library of Munich, Germany.
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    7. Hammoudeh, Shawkat & Yuan, Yuan, 2008. "Metal volatility in presence of oil and interest rate shocks," Energy Economics, Elsevier, vol. 30(2), pages 606-620, March.
    8. Isabel Figuerola‐Ferretti & Christopher L. Gilbert, 2008. "Commonality in the LME aluminum and copper volatility processes through a FIGARCH lens," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(10), pages 935-962, October.
    9. Ewing, Bradley T. & Malik, Farooq, 2013. "Volatility transmission between gold and oil futures under structural breaks," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 113-121.
    10. Malik, Farooq & Hammoudeh, Shawkat, 2007. "Shock and volatility transmission in the oil, US and Gulf equity markets," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 357-368.
    11. Ratti, Ronald A. & Vespignani, Joaquin L., 2013. "Why are crude oil prices high when global activity is weak?," Economics Letters, Elsevier, vol. 121(1), pages 133-136.
    12. Feng Wu & Zhengfei Guan & Robert J. Myers, 2011. "Volatility spillover effects and cross hedging in corn and crude oil futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(11), pages 1052-1075, November.
    13. Jaehwan Park & Byungkwon Lim, 2018. "Testing Efficiency of the London Metal Exchange: New Evidence," IJFS, MDPI, vol. 6(1), pages 1-10, March.
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    Cited by:

    1. Jaehwan Park, 2019. "Effect of Speculators’ Position Changes on the LME Futures Market," IJFS, MDPI, vol. 7(2), pages 1-9, June.
    2. Byungkwon Lim & Hyeon Sook Kim & Jaehwan Park, 2020. "Direct Effect of TC on the LME Copper Prices," Economies, MDPI, vol. 8(2), pages 1-9, May.
    3. Jaehwan Park & Byungkwon Lim, 2018. "Testing Efficiency of the London Metal Exchange: New Evidence," IJFS, MDPI, vol. 6(1), pages 1-10, March.

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    More about this item

    Keywords

    volatility transmission; univariate GARCH; bivariate GARCH;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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