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Dynamic spillovers between Shanghai and London nonferrous metal futures markets

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  • Kang, Sang Hoon
  • Yoon, Seong-Min

Abstract

This paper examines the dynamic return and volatility spillovers between the Shanghai Futures Exchange (SFE) and the London Metal Exchange (LME) from 2007 to 2016 using the new spillover index of Diebold and Yilmaz (2012). Our results indicate that the LME nonferrous metal futures have a greater impact on SFE nonferrous metal futures. In particular, these trends are more pronounced in the aftermath of the recent financial crises, indicating the strength of spillovers during periods of turmoil. The direction of spillovers significantly depends on time variation.

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  • Kang, Sang Hoon & Yoon, Seong-Min, 2016. "Dynamic spillovers between Shanghai and London nonferrous metal futures markets," Finance Research Letters, Elsevier, vol. 19(C), pages 181-188.
    • Handle: RePEc:eee:finlet:v:19:y:2016:i:c:p:181-188
    DOI: 10.1016/j.frl.2016.07.010
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    3. Pierre L. Siklos & Martin Stefan & Claudia Wellenreuther, 2020. "Metal prices made in China? A network analysis of industrial metal futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(9), pages 1354-1374, September.
    4. Hu, Haiqing & Chen, Di & Sui, Bo & Zhang, Lang & Wang, Yinyin, 2020. "Price volatility spillovers between supply chain and innovation of financial pledges in China," Economic Modelling, Elsevier, vol. 89(C), pages 397-413.
    5. Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Time-frequency co-movements between the largest nonferrous metal futures markets," Resources Policy, Elsevier, vol. 61(C), pages 393-398.
    6. Pavlova, Ivelina & de Boyrie, Maria E. & Parhizgari, Ali M., 2018. "A dynamic spillover analysis of crude oil effects on the sovereign credit risk of exporting countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 10-22.
    7. Papathanasiou, Spyros & Vasiliou, Dimitrios & Magoutas, Anastasios & Koutsokostas, Drosos, 2022. "Do hedge and merger arbitrage funds actually hedge? A time-varying volatility spillover approach," Finance Research Letters, Elsevier, vol. 44(C).
    8. Shen, Junjie & Huang, Shupei, 2022. "Copper cross-market volatility transition based on a coupled hidden Markov model and the complex network method," Resources Policy, Elsevier, vol. 75(C).
    9. Wei, Yu & Bai, Lan & Li, Xiafei, 2022. "Normal and extreme interactions among nonferrous metal futures: A new quantile-frequency connectedness approach," Finance Research Letters, Elsevier, vol. 47(PB).
    10. Zhu, Yongguang & Xu, Deyi & Cheng, Jinhua & Ali, Saleem Hassan, 2018. "Estimating the impact of China's export policy on tin prices: a mode decomposition counterfactual analysis method," Resources Policy, Elsevier, vol. 59(C), pages 250-264.
    11. Dai, Xingyu & Li, Matthew C. & Xiao, Ling & Wang, Qunwei, 2022. "COVID-19 and China commodity price jump behavior: An information spillover and wavelet coherency analysis," Resources Policy, Elsevier, vol. 79(C).
    12. Yves Jégourel, 2018. "The Financialization of Commodity Markets: A Short-lived Phenomenon?," Books & Reports, Policy Center for the New South, number 18, December.
    13. Rehman, Mobeen Ur & Shahzad, Syed Jawad Hussain & Ahmad, Nasir & Vo, Xuan Vinh, 2021. "Dependence among metals and mining companies of the US and Europe during normal and crises periods," Resources Policy, Elsevier, vol. 73(C).
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    15. Kang, Sang Hoon & Uddin, Gazi Salah & Troster, Victor & Yoon, Seong-Min, 2019. "Directional spillover effects between ASEAN and world stock markets," Journal of Multinational Financial Management, Elsevier, vol. 52.

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    More about this item

    Keywords

    Dynamic spillovers; Financial crisis; Spillover index; Nonferrous metal futures;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices

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