Tail connectedness between artificial intelligence tokens, artificial intelligence ETFs, and traditional asset classes

Yousaf, Imran; Youssef, Manel; Goodell, John W.

doi:10.1016/j.intfin.2023.101929

Journal of International Financial Markets, Institutions and Mo

2024

DOI: 10.1016/j.intfin.2023.101929

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Tail connectedness between artificial intelligence tokens, artificial intelligence ETFs, and traditional asset classes

Imran Yousaf,

Manel Youssef,

John W. Goodell

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Cited by 8 publications

References 39 publications

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Quantile connectedness of artificial intelligence tokens with the energy sector

Malik,

Umar

2024

Rev Financ Econ

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Artificial intelligence (AI) tokens are digital assets that integrate AI capabilities by operating on decentralized networks using AI algorithms in order to automate tasks, make intelligent decisions, and swiftly adapt based on data. Given that AI tokens are energy intensive assets, in this paper, we explore how major AI tokens are connected to oil, natural gas, and biofuel under extreme market movements using daily data from June 2019 to March 2024. We find that AI tokens are net transmitters of shocks while the entire energy sector is the net receiver of shocks at the return level. However, both AI tokens and oil are net transmitters of shocks at the volatility level. We also show that total dynamic connectedness significantly increased during the start of COVID‐19 pandemic and the Russian‐Ukraine war. Our quantile‐based connectedness analysis further shows that return and volatility connectedness is considerably higher at low and high quantiles, indicating that shocks to AI tokens spread more intensely during extreme market movements. These results indicate that AI tokens are subject to contagion and thus offer inadequate portfolio diversification under major market movements.

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Quantile connectedness of artificial intelligence tokens with the energy sector

Malik,

Umar

2024

Rev Financ Econ

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Cross-quantile risk assessment: The interplay of crude oil, artificial intelligence, clean tech, and other markets

Gubareva,

Shafiullah,

Teplova

2025

Energy Economics

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Spillovers and dependency between green finance and traditional energy markets under different market conditions

Wu,

Li,

Qin

2024

Energy Policy

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Tail connectedness between artificial intelligence tokens, artificial intelligence ETFs, and traditional asset classes

Cited by 8 publications

References 39 publications

Quantile connectedness of artificial intelligence tokens with the energy sector

Quantile connectedness of artificial intelligence tokens with the energy sector

Cross-quantile risk assessment: The interplay of crude oil, artificial intelligence, clean tech, and other markets

Spillovers and dependency between green finance and traditional energy markets under different market conditions

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