Metaverse companies, Bitcoin, green bonds, and selected precious metals: Is there any relationship?

Main Article Content

Arkadiusz Orzechowski
Mirosław Oczkoś

Abstract

This study investigates the interdependencies between metaverse-related companies and diverse asset classes, including cryptocurrencies, green bonds, and precious metals. This study primarily aims to determine whether the growth potential of the metaverse sector is reflected in the market dynamics of Bitcoin, the S&P Green Bond Index, and the S&P GSCI indices for gold, silver, and palladium. Employing a Vector Autoregressive (VAR) framework, the study analyses daily data from early July 2015 to mid-July 2025. The methodology incorporates stationarity testing, Johansen co-integration analysis, and Granger causality tests to identify both long- and short-run relationships.
Key findings reveal the absence of long-run cointegration, suggesting that these assets do not share a stable equilibrium over time. However, significant short-run causality were identified. In the first model, the returns on the STOXX Global Metaverse Index are Granger-caused by green bonds, whereas the metaverse index itself provides predictive information for both green bonds and gold. In the second model, metaverse returns exhibit a unidirectional causal influence on silver and palladium. These results suggest that while metaverse stocks are somewhat isolated from long-term commodity trends, they play a critical role in short-term price discovery within specific financial and metal markets


 

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How to Cite
Orzechowski, A., & Oczkoś, M. (2025). Metaverse companies, Bitcoin, green bonds, and selected precious metals: Is there any relationship?. Warsaw Forum of Economic Sociology, 16(31). Retrieved from https://econjournals.sgh.waw.pl/wfes/article/view/5192
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References

Aharon, D. Y., Demir, E., & Siev, S. (2022). Real returns from the unreal world? The market Reaction to Metaverse Disclosures Research in International Business and Finance, 63, 101778. DOI: 10.1016/j.ribaf.2022.101778

Aharon, D. Y., Alon, I., & Vakhromov, O. (2024). Metaverse tokens or metaverse stocks: Who is the boss? Research in International Business and Finance, 69, 102259. DOI: 10.1016/j.ribaf.2024.102259.

Analysis Group. (2022). The potential global economic impact of the metaverse. Accessed 2022. https://www.analysisgroup.com/globalassets/insights/publishing/2022-the-potential-global-economic-impact-of-the-metaverse.pdf

Aysan, A. F., Batten, J. A., Gozgor, G. G., Khalfaoui, R., & Nanaeva, Z. (2024). Metaverse and financial markets: Quantile-time-frequency connectedness analysis Research in International Business and Finance, 63, 102527. DOI: 10.1016/j.ribaf.2024.102527

Aysan, A. F., Batten, J. A., Gozgor, G. G., Khalfaoui, R., & Nanaeva, Z. (2023). Twitter matters for metaverse stocks during economic uncertainty, Finance Research Letters, 56, 104116, https://doi.org/10.1016/j.frl.2023.104116.

Bainbridge, W. S. (2007). Scientific research potential of virtual worlds. Science Magazine, 317, 472–476. https://doi.org/10.1126/science.1146930

BenMabrouk, H., Sassi, S., Soltane, F., & Abid, I. (2024). Connectedness and portfolio hedging between NFTs segments, American stocks and cryptocurrencies Nexus. International Review of Financial Analysis, 91, 102959, https://doi.org/10.1016/j.irfa.2023.102959

Bildirici, M., Ersin, Ö. Ö., & Ibrahim, B. (2024). Chaos, fractionality, nonlinear contagion, and causality dynamics of the metaverse, energy consumption, and environmental pollution. Journal of Environmental Ecology, 27(4), e0175. Fractal and Fractional, 8(2), 114. https://doi.org/10.3390/fractalfract8020114

Chen, Z. (2022). Metaverse and stock market–A study based on Fama-French model. In Proceedings of ECIT 2022. Atlantis Press. https://doi.org/10.2991/978-94-6463-005-3_74

D’Agostino, R. B., Belanger, A. J., & D’Agostino, R. B. (1990). A suggestion for using powerful and informative normality tests. American Statistician, Vol. 44, pp. 316–321. https://doi.org/10.2307/2684359.

Davis, A., Murphy, J. D., Owens, D., Khazanchi, D., & Zigurs, I. (2009). Avatars, People, and Virtual Worlds: Foundations for Research in Metaverses. Journal of the Association for Information Systems, 10(2), 90–117. https://doi.org/10.17705/1jais.00183.

Gent, E. (2021). Q&A: Why the Metaverse Needs to Be Open Making virtual worlds as interconnected as the internet will be tough. Retrieved from https://spectrum.ieee.org/hyundai-metaplant

Granger, C. W. J. (1980). Business and Economics Forecasting Academic Press: New York, NY, USA.

McKinsey&Company (2022). Value creation in the metaverse. https://www.mckinsey.com/~/media/mckinsey/business%20functions/marketing%20and%20sales/our%20insights/value%20creation%20in%20the%20metaverse/Value-creation-in-the-metaverse.pdf

Merriam-Webster (2025). Metaverse. In Merriam-Webster.com dictionary. Available from: https://www.merriam-webster.com/dictionary/metaverse

J. P. Morgan (2022). Opportunities in the metaverse. How businesses can explore the metaverse and navigate the hype Reality. https://www.jpmorgan.com/content/dam/jpm/treasury-services/documents/opportunities-in-the-metaverse.pdf.

Özkan, O., Usman, O., Komba, A. L., & Ike, G. N. (2025). Spillover network of tourism stocks, metaverse, artificial intelligence, and traditional assets: Do oil-related and volatility shocks matter? Tourism Economics, 31(7), 1471–1479. https://doi.org/10.1177/13548166251353545.

Oxford English Dictionary. Metaverse. https://www.oed.com/dictionary/metaverse_n?tab=meaning_and_use#130112796.

Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), https://doi.org/10.2307/1912017.

Zhu, L. (2022). The Metaverse: Concepts and Issues for the Congress Congressional Research Service (R47224). https://www.congress.gov/crs-product/R47224.