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Traditional assets, digital assets and renewable energy: Investigating connectedness during COVID-19 and the Russia-Ukraine war

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  • Goodell, John W.
  • Yadav, Miklesh Prasad
  • Ruan, Junhu
  • Abedin, Mohammad Zoynul
  • Malhotra, Nidhi

Abstract

This paper analyses the connectedness among traditional assets, digital assets and renewable energy for extending the data from December 31, 2019 to January 2, 2023. For an empirical analysis, time varying parameter (TVP-VAR) is employed. We find that Chainlink (DeFi) is the highest receiver, while bitcoin is the highest transmitter of shocks to the network. Additionally, we also find that Non-Fungible Tokens (NFT) acts as the most suitable asset to be included in portfolio since it is least connected with rest of the examined assets classes. Results are important for investors and portfolio managers.

Suggested Citation

  • Goodell, John W. & Yadav, Miklesh Prasad & Ruan, Junhu & Abedin, Mohammad Zoynul & Malhotra, Nidhi, 2023. "Traditional assets, digital assets and renewable energy: Investigating connectedness during COVID-19 and the Russia-Ukraine war," Finance Research Letters, Elsevier, vol. 58(PA).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pa:s1544612323006955
    DOI: 10.1016/j.frl.2023.104323
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    Cited by:

    1. Liu, Jiatong & Zhu, You & Wang, Gang-Jin & Xie, Chi & Wang, Qilin, 2024. "Risk contagion of NFT: A time-frequency risk spillover perspective in the Carbon-NFT-Stock system," Finance Research Letters, Elsevier, vol. 59(C).
    2. Aharon, David Y. & Alon, Ilan & Vakhromov, Oleg, 2024. "Metaverse tokens or metaverse stocks – Who’s the boss?," Research in International Business and Finance, Elsevier, vol. 69(C).
    3. Ali, Shoaib & Umar, Muhammad & Gubareva, Mariya & Vo, Xuan Vinh, 2024. "Extreme connectedness between NFTs and US equity market: A sectoral analysis," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 299-315.
    4. Assaf, Ata & Demir, Ender & Mokni, Khaled, 2024. "Exploring connectedness among cryptocurrency, technology communication, and FinTech through dynamic and fractal analysis," Finance Research Letters, Elsevier, vol. 63(C).
    5. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Tiwari, Aviral Kumar & Wali Ullah, G M, 2024. "Asymmetric dynamics between geopolitical conflict sentiment and cryptomarkets," Research in International Business and Finance, Elsevier, vol. 69(C).
    6. Cheng, Xuanmei & Ye, Kaite & Min Du, Anna & Bao, Zhenzhen & Chlomou, Grigoria, 2024. "Dual carbon goals and renewable energy innovations," Research in International Business and Finance, Elsevier, vol. 70(PB).
    7. Cui, Jinxin & Maghyereh, Aktham, 2024. "Higher-order moment risk spillovers across various financial and commodity markets: Insights from the Israeli–Palestinian conflict," Finance Research Letters, Elsevier, vol. 59(C).
    8. Yadav, Miklesh Prasad & Abedin, Mohammad Zoynul & Sinha, Neena & Arya, Vandana, 2024. "Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion," Research in International Business and Finance, Elsevier, vol. 67(PA).

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    More about this item

    Keywords

    Connectedness; Traditional asset; Digital asset; Diversification; Volatility; Renewable energy; Portfolio management; DeFi; NFT;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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