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Interconnectivity and investment strategies among commodity prices, cryptocurrencies, and G-20 capital markets: A comparative analysis during COVID-19 and Russian-Ukraine war

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  • Kumar, Sanjeev
  • Jain, Reetika
  • Narain,
  • Balli, Faruk
  • Billah, Mabruk

Abstract

Economic and political disorders have multidimensional impacts on all economies around the world. The global world has faced out COVID-19 pandemic in 2020, and now the Russian-Ukraine geopolitical crisis. This study investigates the nexus among commodities, crypto, and G20 capital markets along with risk and returns implications. To examine the impact, we applied the TVP-VAR technique suggested by Koop and Korobilis (2014), and Antonakakis, Chatziantoniou, and Gabauer (2020) by adjusting the framework of Diebold and Yilmaz (2012). The research findings reveal that a high level of connectedness was observed during Covid-19, which was persistent for a long period and has multidimensional impacts. More particularly, EU, Canada, France Germany, and the UK were the principal supplier of spillovers to other commodities, Bitcoin, and the remaining markets. During Geopolitical Crisis (here after GPC), conclusively it is observed that of USA, Brazil, Saudi Arabia, Canada, Mexico, China, Indonesia, and Japan are the net receivers of the volatility spillovers and Russia, Germany, France, European Union, Italy, UK, Argentina, India, Australia, Turkey, Korea, and South Africa are the net transmitters of volatility spillovers. Interestingly, among net transmitters Argentina, South Africa and Turkey are suffered from high inflation and substantial budget deficits, considered as weak economies of G20. Portfolio weights has been increased dramatically during COVID-19 and Russian-Ukraine war. This research could be utilized to take investment, hedging, and diversification decisions about commodities, cryptocurrencies, and stocks, particularly in such turmoil situations with the help of connectedness and various hedging techniques.

Suggested Citation

  • Kumar, Sanjeev & Jain, Reetika & Narain, & Balli, Faruk & Billah, Mabruk, 2023. "Interconnectivity and investment strategies among commodity prices, cryptocurrencies, and G-20 capital markets: A comparative analysis during COVID-19 and Russian-Ukraine war," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 547-593.
    • Handle: RePEc:eee:reveco:v:88:y:2023:i:c:p:547-593
    DOI: 10.1016/j.iref.2023.06.039
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    1. Salisu, Afees A. & Raheem, Ibrahim D. & Vo, Xuan Vinh, 2021. "Assessing the safe haven property of the gold market during COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 74(C).
    2. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    3. Billah, Mabruk & Elsayed, Ahmed H. & Hadhri, Sinda, 2023. "Asymmetric relationship between green bonds and Sukuk markets: The role of global risk factors," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    4. Sinha, Pankaj & Sawaliya, Priya & Sinha, Prateek, 2020. "Surviving Coronavirus scare: A journey of stock market amid a slowdown in Indian Economy," MPRA Paper 103902, University Library of Munich, Germany, revised 20 Jun 2020.
    5. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    8. Higgins, Matthew L & Bera, Anil K, 1992. "A Class of Nonlinear ARCH Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(1), pages 137-158, February.
    9. Li, Wenqi, 2021. "COVID-19 and asymmetric volatility spillovers across global stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
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    2. Naeem, Muhammad Abubakr & Arfaoui, Nadia, 2023. "Exploring downside risk dependence across energy markets: Electricity, conventional energy, carbon, and clean energy during episodes of market crises," Energy Economics, Elsevier, vol. 127(PB).
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    5. Olivier Niyitegeka & Alexis Habiyaremye, 2024. "Financial Contagion between German and BRICS Stock Markets under Multiscale Scrutiny," JRFM, MDPI, vol. 17(9), pages 1-19, September.

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    More about this item

    Keywords

    COVID-19; Russian-Ukraine war; G20; Bitcoin; Connectedness; TVP-VAR;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

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