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Night trading with futures in China: The case of Aluminum and Copper

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  • Klein, Tony
  • Todorova, Neda

Abstract

We use high-frequency data to examine the effects of introducing a night trading session at the Shanghai Futures Exchange (SHFE) in 2013. For Copper, the realized volatility of the regular session is endogenously determined, while the night session is driven by the immediately preceding volatility of the London Metal Exchange (LME). In contrast, Chinese Aluminum futures are more resistant to exogenous factors and show pronounced long memory. We find no indications that the SHFE draws volume from LME. The existing break between daytime and night session has significant informational content and must be separated when processing intraday data.

Suggested Citation

  • Klein, Tony & Todorova, Neda, 2021. "Night trading with futures in China: The case of Aluminum and Copper," Resources Policy, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721002191
    DOI: 10.1016/j.resourpol.2021.102205
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    6. Luo, Jiawen & Marfatia, Hardik A. & Ji, Qiang & Klein, Tony, 2023. "Co-volatility and asymmetric transmission of risks between the global oil and China's futures markets," Energy Economics, Elsevier, vol. 117(C).

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    More about this item

    Keywords

    SHFE; Futures markets; Aluminum; Copper; High-frequency data; Night trading;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q37 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Issues in International Trade

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