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Dynamic Correlation and Risk Contagion Between “Black” Futures in China: A Multi-scale Variational Mode Decomposition Approach

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  • Qunwei Wang

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

  • Xingyu Dai

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

  • Dequn Zhou

    (Nanjing University of Aeronautics and Astronautics
    Nanjing University of Aeronautics and Astronautics)

Abstract

This paper explores the dynamic correlation and risk contagion between “black” futures in China at various time horizons. We employ the DCC-GARCH-t model and Granger causality in risk test jointly with variational modal decomposition. Our study covers the period from October 2013, to January 2018. The paper’s three key findings are as follows: first, a positive dynamic correlation exists between “black” futures across most sample period at each time scale. Secondly, dynamic correlation differs between “black” futures, which is largest during the medium-term time scale. What’s more, the correlation of coking coal futures and coke futures is consistently higher than other pairs at each time scale. Thirdly, the direction and the time lag of risk contagion varies across different time scales. The complexity of contagion will increase as the length of the time scale increases. We have also discovered some synchronic contagions between “black” futures.

Suggested Citation

  • Qunwei Wang & Xingyu Dai & Dequn Zhou, 2020. "Dynamic Correlation and Risk Contagion Between “Black” Futures in China: A Multi-scale Variational Mode Decomposition Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1117-1150, April.
    • Handle: RePEc:kap:compec:v:55:y:2020:i:4:d:10.1007_s10614-018-9857-y
    DOI: 10.1007/s10614-018-9857-y
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