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Risk Transmission Between Green Markets and Commodities

Author

Listed:
  • Muhammad Abubakr Naeem
  • Sitara Karim
  • Tooraj Jamasb
  • Rabindra Nepal

Abstract

The current study examines the risk transmission between green markets and commodities spanning 3 January 2011 to 20 June 2021. We use two novel methodologies of volatility transmission using dynamic conditional correlation (DCC-GARCH) and the other time-varying parameters vector autoregression (TVP-VAR) technique of connectedness. We found parallel results of risk transmission between green markets and commodities using these measures of connectedness. Results demonstrate that green markets and commodities form a weakly knitted sphere of connectedness where intra-group clustering dominates the inter-group connectedness. Clean energy markets and precious metals form two distinct groups of connectedness for respective markets. However, crude oil, natural gas and wheat remained indifferent to the shocks highlighting their potential to serve as diversifiers due to their low risk bearing features. Further, time-varying dynamics emphasize the occurrence of sizable events that disrupted the operations of green and commodity markets, accentuating the attention of investors, portfolio managers, and financial market participants. Intense spillovers shaped the overall connectedness of the network where green markets (commodities) are fashioned in positive (negative) risk spillovers. Finally, we propose recommendations for policymakers, regulators, investors, portfolio managers, and market participants to devise policies and investment goals to shield their investments from unexpected circumstances.

Suggested Citation

  • Muhammad Abubakr Naeem & Sitara Karim & Tooraj Jamasb & Rabindra Nepal, 2022. "Risk Transmission Between Green Markets and Commodities," CAMA Working Papers 2022-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Handle: RePEc:een:camaaa:2022-18
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    File URL: https://crawford.anu.edu.au/sites/default/files/2025-05/18_2022_Naeem_Karim_Jamasb_Nepal.pdf
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    Cited by:

    1. Billah, Mabruk & Karim, Sitara & Naeem, Muhammad Abubakr & Vigne, Samuel A., 2022. "Return and volatility spillovers between energy and BRIC markets: Evidence from quantile connectedness," Research in International Business and Finance, Elsevier, vol. 62(C).
    2. Siddique, Md Abubakar & Nobanee, Haitham & Karim, Sitara & Naz, Farah, 2022. "Investigating the role of metal and commodity classes in overcoming resource destabilization," Resources Policy, Elsevier, vol. 79(C).
    3. Naeem, Muhammad Abubakr & Karim, Sitara & Uddin, Gazi Salah & Junttila, Juha, 2022. "Small fish in big ponds: Connections of green finance assets to commodity and sectoral stock markets," International Review of Financial Analysis, Elsevier, vol. 83(C).
    4. Karim, Sitara & Naz, Farah & Naeem, Muhammad Abubakr & Vigne, Samuel A., 2022. "Is FinTech providing effective solutions to Small and Medium Enterprises (SMEs) in ASEAN countries?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 335-344.
    5. Naeem, Muhammad Abubakr & Agyemang, Abraham & Hasan Chowdhury, Md Iftekhar & Hasan, Mudassar & Shahzad, Syed Jawad Hussain, 2022. "Precious metals as hedge and safe haven for African stock markets," Resources Policy, Elsevier, vol. 78(C).
    6. Naeem, Muhammad Abubakr & Peng, Zhe & Bouri, Elie & Hussain Shahzad, Syed Jawad & Karim, Sitara, 2022. "Examining the asymmetries between equity and commodity ETFs during COVID-19," Resources Policy, Elsevier, vol. 79(C).
    7. Naeem, Muhammad Abubakr & Karim, Sitara & Farid, Saqib & Tiwari, Aviral Kumar, 2022. "Comparing the asymmetric efficiency of dirty and clean energy markets pre and during COVID-19," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 548-562.
    8. Campanella, Francesco & Serino, Luana & Battisti, Enrico & Giakoumelou, Anastasia & Karasamani, Isabella, 2023. "FinTech in the financial system: Towards a capital-intensive and high competence human capital reality?," Journal of Business Research, Elsevier, vol. 155(PA).
    9. Naeem, Muhammad Abubakr & Karim, Sitara & Hasan, Mudassar & Lucey, Brian M. & Kang, Sang Hoon, 2022. "Nexus between oil shocks and agriculture commodities: Evidence from time and frequency domain," Energy Economics, Elsevier, vol. 112(C).
    10. Wang, Kai-Hua & Kan, Jia-Min & Qiu, Lianhong & Xu, Shulin, 2023. "Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 256-272.
    11. Giakoumelou, Anastasia & Salvi, Antonio & Bekiros, Stelios & Onorato, Grazia, 2024. "ESG and FinTech funding in the EU," Research in International Business and Finance, Elsevier, vol. 69(C).
    12. Abubakr Naeem, Muhammad & Iqbal, Najaf & Lucey, Brian M. & Karim, Sitara, 2022. "Good versus bad information transmission in the cryptocurrency market: Evidence from high-frequency data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    13. Benlagha, Noureddine & Karim, Sitara & Naeem, Muhammad Abubakr & Lucey, Brian M. & Vigne, Samuel A., 2022. "Risk connectedness between energy and stock markets: Evidence from oil importing and exporting countries," Energy Economics, Elsevier, vol. 115(C).

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    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G19 - Financial Economics - - General Financial Markets - - - Other
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

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