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Intraday return and volatility spill‐over across international copper futures markets

Author

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  • Donald Lien
  • Li Yang

Abstract

Purpose - The purpose of this paper is to investigate the short‐run return and volatility spill‐overs across three major international copper futures markets: London Metal Exchange (LME), New York Mercantile Exchange (NYMEX), and Shanghai Futures Exchange (SHFE). Design/methodology/approach - The analysis utilizes a dynamic conditional correlation GARCH model to explore the return and volatility relationships. Findings - The return and volatility spill‐overs between the two developed markets, LME and NYMEX, are bi‐directional and significantly stronger when the NYMEX operates an electronic trading system. In addition, significant bi‐directional return spill‐over between the LME (developed market) and the SHFE (emerging market) and significant uni‐directional volatility spill‐over from the LME to the SHFE are documented. Research limitations/implications - The evidence suggests that degree of market integration and trading mechanism play crucial roles in the return and volatility transmission across the three major copper futures markets. Higher level of market integration and easy access to trading information lead to faster information dissemination and help to establish stronger relationships of returns and volatility across the markets. This is consistent with the findings in the equity markets. Originality/value - The study provides empirical evidence of short‐run information transmission between developed and emerging copper futures markets.

Suggested Citation

  • Donald Lien & Li Yang, 2009. "Intraday return and volatility spill‐over across international copper futures markets," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 5(1), pages 135-149, February.
    • Handle: RePEc:eme:ijmfpp:v:5:y:2009:i:1:p:135-149
    DOI: 10.1108/17439130910932378
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    Citations

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    Cited by:

    1. Klein, Tony & Todorova, Neda, 2021. "Night trading with futures in China: The case of Aluminum and Copper," Resources Policy, Elsevier, vol. 73(C).
    2. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    3. Al-Yahyaee, Khamis Hamed & Rehman, Mobeen Ur & Wanas Al-Jarrah, Idries Mohammad & Mensi, Walid & Vo, Xuan Vinh, 2020. "Co-movements and spillovers between prices of precious metals and non-ferrous metals: A multiscale analysis," Resources Policy, Elsevier, vol. 67(C).
    4. Libo Yin & Liyan Han, 2013. "Exogenous Shocks and Information Transmission in Global Copper Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(8), pages 724-751, August.
    5. Chen, Yuxuan & Chiu, Junmao & Chung, Huimin, 2022. "Givers or Receivers? Return and volatility spillovers between Fintech and the Traditional Financial Industry," Finance Research Letters, Elsevier, vol. 46(PB).
    6. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    7. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    8. Donghua Wang & Yang Xin & Xiaohui Chang & Xingze Su, 2021. "Realized volatility forecasting and volatility spillovers: Evidence from Chinese non‐ferrous metals futures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2713-2731, April.
    9. Sinha, Pankaj & Mathur, Kritika, 2013. "Price, Return and Volatility Linkages of Base Metal Futures traded in India," MPRA Paper 47864, University Library of Munich, Germany.

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