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Do Rare Earths and Energy Commodities Drive Volatility Transmission in Sustainable Financial Markets? Evidence from China, Australia, and the US

Author

Listed:
  • Inzamam UI Haq

    (Business School, Liaoning University, Shenyang 110036, China)

  • Hira Nadeem

    (Department of Management Sciences, Gift University, Gujranwala 52250, Pakistan)

  • Apichit Maneengam

    (Department of Mechanical Engineering Technology, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok, Wongsawang, Bangsue, Bangkok 10800, Thailand)

  • Saowanee Samantreeporn

    (Faculty of Business Administration, Southeast Asia University, 19/1 Petchkasem Road, Nong Khaem, Bangkok 10160, Thailand)

  • Nhan Huynh

    (Department of Applied Finance, Macquarie Business School, Macquarie University, Sydney 2109, Australia)

  • Thasporn Kettanom

    (Educational Administration, Southeast Asia University, Bangkok 10160, Thailand)

  • Worakamol Wisetsri

    (Department of Social Science, Faculty of Applied Arts, King Mongkut’s University of Technology North Bangkok (KMUTNB), Bangkok 10800, Thailand)

Abstract

The high volatility and energy usage of rare earths have raised sustainable and financial concerns for environmentalists and sustainable investors. Therefore, this paper aims to investigate time-varying volatility transmission among rare earths elements, energy commodities, and sustainable financial markets. The sample covers global and major financial markets, i.e., US, China, and Australia. Using daily log returns from 2018 to 2022, the paper considers the dynamic Time Varying Parameter-Vector Autoregression (TVP-VAR) connectedness approach to gauge the time-varying features of volatility spillovers. The findings of total spillovers index reveal weak connectedness among markets during the sampled period. US and China rare earth markets were net volatility transmitters, whereas the Dow Jones Australia Sustainability Index (ASI), China Sustainability Index (CSI), Dow Jones Sustainability World Index (SWI), and MVIS Global Rare Earth Index (MVISGREI) were net recipients. Moreover, energy commodities i.e., WTI Crude Oil, Gasoline, and Natural Gas were net volatility transmitters, while ASI, CSI, and SWI were major volatility recipients. The weak financial contagion effect and connectedness across financial markets uncovers possible diversification opportunities. However, the US sustainable financial market is persistently not affected by these volatility spillovers. Policymakers need to establish strict regulations to protect sustainable financial markets in China and Australia.

Suggested Citation

  • Inzamam UI Haq & Hira Nadeem & Apichit Maneengam & Saowanee Samantreeporn & Nhan Huynh & Thasporn Kettanom & Worakamol Wisetsri, 2022. "Do Rare Earths and Energy Commodities Drive Volatility Transmission in Sustainable Financial Markets? Evidence from China, Australia, and the US," IJFS, MDPI, vol. 10(3), pages 1-22, September.
    • Handle: RePEc:gam:jijfss:v:10:y:2022:i:3:p:76-:d:907599
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    References listed on IDEAS

    as
    1. Chaofeng Tang & Kentaka Aruga, 2021. "Relationships among the Fossil Fuel and Financial Markets during the COVID-19 Pandemic: Evidence from Bayesian DCC-MGARCH Models," Sustainability, MDPI, vol. 14(1), pages 1-22, December.
    2. Bouri, Elie & Cepni, Oguzhan & Gabauer, David & Gupta, Rangan, 2021. "Return connectedness across asset classes around the COVID-19 outbreak," International Review of Financial Analysis, Elsevier, vol. 73(C).
    3. Song, Ying & Bouri, Elie & Ghosh, Sajal & Kanjilal, Kakali, 2021. "Rare earth and financial markets: Dynamics of return and volatility connectedness around the COVID-19 outbreak," Resources Policy, Elsevier, vol. 74(C).
    4. Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Gabauer, David & Dwumfour, Richard Adjei, 2022. "Dynamic spillover effects among green bond, renewable energy stocks and carbon markets during COVID-19 pandemic: Implications for hedging and investments strategies," Global Finance Journal, Elsevier, vol. 51(C).
    5. John L. Evans & Stephen H. Archer, 1968. "Diversification And The Reduction Of Dispersion: An Empirical Analysis," Journal of Finance, American Finance Association, vol. 23(5), pages 761-767, December.
    6. Huang, Jianbai & Dong, Xuesong & Chen, Jinyu & Zhong, Meirui, 2022. "Do oil prices and economic policy uncertainty matter for precious metal returns? New insights from a TVP-VAR framework," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 433-445.
    7. Rahman, Mohammad Mafizur & Kashem, Mohammad Abul, 2017. "Carbon emissions, energy consumption and industrial growth in Bangladesh: Empirical evidence from ARDL cointegration and Granger causality analysis," Energy Policy, Elsevier, vol. 110(C), pages 600-608.
    8. Antonakakis, Nikolaos & Gabauer, David, 2017. "Refined Measures of Dynamic Connectedness based on TVP-VAR," MPRA Paper 78282, University Library of Munich, Germany.
    9. Akhtaruzzaman, Md & Boubaker, Sabri & Chiah, Mardy & Zhong, Angel, 2021. "COVID−19 and oil price risk exposure," Finance Research Letters, Elsevier, vol. 42(C).
    10. Elie Bouri & Kakali Kanjilal & Sajal Ghosh & David Roubaud & Tareq Saeed, 2021. "Rare earth and allied sectors in stock markets: extreme dependence of return and volatility," Applied Economics, Taylor & Francis Journals, vol. 53(49), pages 5710-5730, October.
    11. Tariq Aziz & Ranjeeta Sadhwani & Ume Habibah & Mazin A. M. Al Janabi, 2020. "Volatility Spillover Among Equity and Commodity Markets," SAGE Open, , vol. 10(2), pages 21582440209, May.
    12. Akhtaruzzaman, Md & Boubaker, Sabri & Sensoy, Ahmet, 2021. "Financial contagion during COVID–19 crisis," Finance Research Letters, Elsevier, vol. 38(C).
    13. Fernandez, Viviana, 2017. "Rare-earth elements market: A historical and financial perspective," Resources Policy, Elsevier, vol. 53(C), pages 26-45.
    14. Inzamam Ul Haq & Paulo Ferreira & Apichit Maneengam & Worakamol Wisetsri, 2022. "Rare Earth Market, Electric Vehicles and Future Mobility Index: A Time-Frequency Analysis with Portfolio Implications," Risks, MDPI, vol. 10(7), pages 1-20, July.
    15. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    16. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    17. Inzamam Ul Haq & Supat Chupradit & Chunhui Huo, 2021. "Do Green Bonds Act as a Hedge or a Safe Haven against Economic Policy Uncertainty? Evidence from the USA and China," IJFS, MDPI, vol. 9(3), pages 1-18, August.
    18. Athanasios Tsagkanos & Aarzoo Sharma & Bikramaditya Ghosh, 2022. "Green Bonds and Commodities: A New Asymmetric Sustainable Relationship," Sustainability, MDPI, vol. 14(11), pages 1-16, June.
    19. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    20. Bouri, Elie & Lei, Xiaojie & Jalkh, Naji & Xu, Yahua & Zhang, Hongwei, 2021. "Spillovers in higher moments and jumps across US stock and strategic commodity markets," Resources Policy, Elsevier, vol. 72(C).
    21. Ben Ameur, Hachmi & Ftiti, Zied & Louhichi, Waël, 2021. "Intraday spillover between commodity markets," Resources Policy, Elsevier, vol. 74(C).
    22. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    23. Huynh, Nhan & Dao, Anh & Nguyen, Dat, 2021. "Openness, economic uncertainty, government responses, and international financial market performance during the coronavirus pandemic," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    24. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
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