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Co-movement of international copper prices, China's economic activity, and stock returns: Structural breaks and volatility dynamics

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  • Guo, Jin

Abstract

This study empirically investigates both causal nexus and time-varying correlations among international copper prices, China's real economic activity, and stock returns from January 1991 to December 2015. Using a cross-correlation function approach with structural breaks and dynamic conditional correlation models, we find, first, significant volatility cross-effects between international copper prices and real economic activity in China. Second, China's past stock returns play a pivotal role in forecasting future volatility in international copper prices, but not vice versa. Third, negative dynamic correlations between copper prices and China's stock returns around the 2008 global financial crisis suggest that a copper asset can hedge the risk of stock investment in China. Our results have important implications for investors, portfolio managers, and Chinese policymakers, who should regulate extreme financial speculation in copper to minimize the impact of excess volatility on the real economy.

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  • Guo, Jin, 2018. "Co-movement of international copper prices, China's economic activity, and stock returns: Structural breaks and volatility dynamics," Global Finance Journal, Elsevier, vol. 36(C), pages 62-77.
  • Handle: RePEc:eee:glofin:v:36:y:2018:i:c:p:62-77
    DOI: 10.1016/j.gfj.2018.01.001
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    3. Xiangyu Chen & Jittima Tongurai, 2021. "The Relationship Between China’s Real Estate Market and Industrial Metals Futures Market: Evidence from Non-price Measures of the Real Estate Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 527-561, December.
    4. Jin Guo & Tetsuji Tanaka, 2019. "Determinants of international price volatility transmissions: the role of self-sufficiency rates in wheat-importing countries," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-13, December.
    5. de Oliveira, Felipe A. & Maia, Sinézio F. & de Jesus, Diego P. & Besarria, Cássio da N., 2018. "Which information matters to market risk spreading in Brazil? Volatility transmission modelling using MGARCH-BEKK, DCC, t-Copulas," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 83-100.
    6. Tetsuji Tanaka & Jin Guo, 2020. "International price volatility transmission and structural change: a market connectivity analysis in the beef sector," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    7. Jin Guo & Tetsuji Tanaka, 2022. "Potential factors in determining cross-border price spillovers in the pork sector: Evidence from net pork-importing countries," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    8. Juan Antonio Galán-Gutiérrez & Rodrigo Martín-García, 2022. "Fundamentals vs. Financialization during Extreme Events: From Backwardation to Contango, a Copper Market Analysis during the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(4), pages 1-23, February.
    9. Badamvaanchig, Mungunzul & Islam, Moinul & Kakinaka, Makoto, 2021. "Pass-through of commodity price to Mongolian stock price: Symmetric or asymmetric?," Resources Policy, Elsevier, vol. 70(C).
    10. Jin Guo & Tetsuji Tanaka, 2020. "Dynamic Transmissions and Volatility Spillovers between Global Price and U.S. Producer Price in Agricultural Markets," JRFM, MDPI, vol. 13(4), pages 1-20, April.
    11. Galán-Gutiérrez, Juan Antonio & Labeaga, José M. & Martín-García, Rodrigo, 2023. "Cointegration between high base metals prices and backwardation: Getting ready for the metals super-cycle," Resources Policy, Elsevier, vol. 81(C).
    12. Han, Xuyuan & Liu, Zhenya & Wang, Shixuan, 2022. "An R-vine copula analysis of non-ferrous metal futures with application in Value-at-Risk forecasting," Journal of Commodity Markets, Elsevier, vol. 25(C).
    13. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).

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    More about this item

    Keywords

    China; Copper price; Volatility spillover; Cross-correlation approach; Structural breaks; Dynamic conditional correlation;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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