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Tail dependence between gold and sectorial stocks in China: Perspectives for portfolio diversication

Author

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  • Joscha Beckmann

    (University of Duisburg-Essen, Department of Economics, Chair for Macroeconomics)

  • Theo Berger

    (University of Bremen, Department of Business Administration, Chair for Applied Statistics and Empirical Economy)

  • Robert Czudaj

    (Chemnitz University of Technology, Department of Economics, Chair for Empirical Economics)

  • Thi-Hong-Van Hoang

    (Montpellier Business School, Montpellier Research in Management)

Abstract

This article analyzes the relationship between gold quoted on the Shanghai Gold Exchange and Chinese sectorial stocks from 2009 to 2015. Using different copulas, our results show that there is weak but significant tail dependence between gold and Chinese sectorial stock returns. This means that the dependence between extreme movements of the two assets is not pronounced and confirms the role of gold as a safe haven asset. Based on analyzing the efficient frontier, CCCGARCH optimal weights, hedge ratios and hedging effectiveness, we further show that adding gold into Chinese stock portfolios can help to reduce their risk. Gold appears to be the most efficient diversifier for stocks of the materials sector and the less efficient for the utilities sector. As a robustness check, we also compare gold to oil and indicate that gold is more efficient than oil in the diversification of Chinese stock portfolios.

Suggested Citation

  • Joscha Beckmann & Theo Berger & Robert Czudaj & Thi-Hong-Van Hoang, 2017. "Tail dependence between gold and sectorial stocks in China: Perspectives for portfolio diversication," Chemnitz Economic Papers 012, Department of Economics, Chemnitz University of Technology, revised Jul 2017.
    • Handle: RePEc:tch:wpaper:cep012
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    2. Aikins Abakah, Emmanuel Joel & Gil-Alana, Luis A. & Tripathy, Trilochan, 2022. "Stochastic structure of metal prices: Evidence from fractional integration non-linearities and breaks," Resources Policy, Elsevier, vol. 78(C).
    3. Woraphon Yamaka & Paravee Maneejuk, 2020. "Analyzing the Causality and Dependence between Gold Shocks and Asian Emerging Stock Markets: A Smooth Transition Copula Approach," Mathematics, MDPI, vol. 8(1), pages 1-27, January.
    4. Tachibana, Minoru, 2022. "Safe haven assets for international stock markets: A regime-switching factor copula approach," Research in International Business and Finance, Elsevier, vol. 60(C).
    5. Ghulam Mujtaba & Asima Siddique & Nader Naifar & Syed Jawad Hussain Shahzad, 2024. "Hedge and safe haven role of commodities for the US and Chinese equity markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2381-2414, April.
    6. Lei Ming & Yao Shen & Shenggang Yang & Sangzhi Zhu & Hong Zhu, 2020. "Does Gold Serve as a Hedge for the Stock Market in China? Evidence from a Time-Frequency Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(3), pages 659-672, February.
    7. Esparcia, Carlos & Jareño, Francisco & Umar, Zaghum, 2022. "Revisiting the safe haven role of Gold across time and frequencies during the COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    8. Peng, Xiaofan, 2020. "Do precious metals act as hedges or safe havens for China's financial markets?," Finance Research Letters, Elsevier, vol. 37(C).
    9. Golitsis, Petros & Gkasis, Pavlos & Bellos, Sotirios K., 2022. "Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    10. Wei Huang & Meng-Shiuh Chang, 2021. "Gold and Government Bonds as Safe-Haven Assets Against Stock Market Turbulence in China," SAGE Open, , vol. 11(1), pages 21582440219, January.
    11. Pho, Kim Hung & Ly, Sel & Lu, Richard & Hoang, Thi Hong Van & Wong, Wing-Keung, 2021. "Is Bitcoin a better portfolio diversifier than gold? A copula and sectoral analysis for China," International Review of Financial Analysis, Elsevier, vol. 74(C).
    12. Lei Ming & Xinran Zhang & Qianqiu Liu & Shenggang Yang, 2020. "A revisit to the hedge and safe haven properties of gold: New evidence from China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(9), pages 1442-1456, September.
    13. Muhammad Abubakr Naeem & Mudassar Hasan & Muhammad Arif & Syed Jawad Hussain Shahzad, 2020. "Can Bitcoin Glitter More Than Gold for Investment Styles?," SAGE Open, , vol. 10(2), pages 21582440209, May.
    14. Mejri, Sami & Aloui, Chaker & Khan, Nasir, 2024. "The gold stock nexus: Assessing the causality dynamics based on advanced multiscale approaches," Resources Policy, Elsevier, vol. 88(C).
    15. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Karikari, Nana Kwasi & Hammoudeh, Shawkat, 2022. "Time-varying dependence dynamics between international commodity prices and Australian industry stock returns: a Perspective for portfolio diversification," Energy Economics, Elsevier, vol. 108(C).
    16. Rob Kim Marjerison & Chungil Chae & Shitong Li, 2021. "Investor Activity in Chinese Financial Institutions: A Precursor to Economic Sustainability," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
    17. Jambotkar Mrunali Manohar & Guntur Anjana Raju, 2021. "Does Gold Retain its Hedge and Safe Haven Role for Energy Sector Indices During COVID-19 Pandemic? A Crossquantilogram Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 233-240.
    18. Hanif, Waqas & Mensi, Walid & Alomari, Mohammad & Andraz, Jorge Miguel, 2023. "Downside and upside risk spillovers between precious metals and currency markets: Evidence from before and during the COVID-19 crisis," Resources Policy, Elsevier, vol. 81(C).

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    More about this item

    Keywords

    Shanghai Gold Exchange; Chinese sectorial stocks; oil; copulas; portfolio implications;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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