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Volatility spillovers between stock, bond, oil, and gold with portfolio implications: Evidence from China

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  • Zhang, Yongjie
  • Wang, Meng
  • Xiong, Xiong
  • Zou, Gaofeng

Abstract

This paper uses multivariate VAR-CCC-GARCH and VAR-DCC-GARCH models to examine volatility spillovers among gold spots, gold futures, stock, bond, and oil from January 9, 2008 to January 4, 2019. Our finding suggests that due to weak correlations with Chinese stock, Chinese bond, and international crude oil, Chinese gold spots and futures cannot play the hedge role. This contradicts previous findings on the hedging role of gold. However, gold is suitable for portfolio diversification and helps reduce portfolio risk.

Suggested Citation

  • Zhang, Yongjie & Wang, Meng & Xiong, Xiong & Zou, Gaofeng, 2021. "Volatility spillovers between stock, bond, oil, and gold with portfolio implications: Evidence from China," Finance Research Letters, Elsevier, vol. 40(C).
    • Handle: RePEc:eee:finlet:v:40:y:2021:i:c:s1544612320316007
    DOI: 10.1016/j.frl.2020.101786
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    Cited by:

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    6. Guliyev, Hasraddin & Mustafayev, Eldayag, 2022. "Predicting the changes in the WTI crude oil price dynamics using machine learning models," Resources Policy, Elsevier, vol. 77(C).
    7. Walid Mensi & Mariya Gubareva & Hee-Un Ko & Xuan Vinh Vo & Sang Hoon Kang, 2023. "Tail spillover effects between cryptocurrencies and uncertainty in the gold, oil, and stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    8. Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "COVID-19 pandemic’s impact on intraday volatility spillover between oil, gold, and stock markets," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 702-715.
    9. Mensi, Walid & Al Rababa'a, Abdel Razzaq & Alomari, Mohammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Dynamic frequency volatility spillovers and connectedness between strategic commodity and stock markets: US-based sectoral analysis," Resources Policy, Elsevier, vol. 79(C).
    10. Sun Meng & Yan Chen, 2023. "Market Volatility Spillover, Network Diffusion, and Financial Systemic Risk Management: Financial Modeling and Empirical Study," Mathematics, MDPI, vol. 11(6), pages 1-16, March.
    11. Iwanicz-Drozdowska Małgorzata & Rogowicz Karol & Smaga Paweł, 2023. "Market-moving events and their role in portfolio optimization of generations X, Y, and Z," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 59(4), pages 371-397, December.
    12. Mensi, Walid & Reboredo, Juan C. & Ugolini, Andrea, 2021. "Price-switching spillovers between gold, oil, and stock markets: Evidence from the USA and China during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 73(C).
    13. Guannan Wang & Juan Meng & Bin Mo, 2023. "Dynamic Volatility Spillover Effects and Portfolio Strategies among Crude Oil, Gold, and Chinese Electricity Companies," Mathematics, MDPI, vol. 11(4), pages 1-25, February.
    14. Choudhury, Tonmoy & Kinateder, Harald & Neupane, Biwesh, 2022. "Gold, bonds, and epidemics: A safe haven study," Finance Research Letters, Elsevier, vol. 48(C).
    15. Qiao, Xingzhi & Zhu, Huiming & Zhang, Zhongqingyang & Mao, Weifang, 2022. "Time-frequency transmission mechanism of EPU, investor sentiment and financial assets: A multiscale TVP-VAR connectedness analysis," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
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    More about this item

    Keywords

    Gold; Financial markets; Hedge; Portfolio optimization;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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