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NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic
Open accessAbstract
In this paper, we analyze the connectedness between returns for non-fungible tokens (NFTs) and other financial assets (equities, bonds, currencies, gold, oil, Ethereum) during the period from January 2018 to June 2021. By using the Time-Varying Parameter Vector Autoregressions (TVP-VAR) approach, we show that the overall connectedness between the returns for financial assets increased during the COVID-19 period. Our static analysis shows that the behavior of the majority of NFT returns is attributable to endogenous shocks and only a small portion of this variation resulted from the impact of innovation in other assets. The results suggest that NFTs are mainly independent of shocks from common assets classes and even from their close relation, Ethereum. The dynamic analysis across time reveals that during normal times, NFTs act as transmitters of systemic risk to some degree, but during stressful times, their role shifts, and they act as absorbers of risk spillovers. This suggests that NFTs may have diversification benefits during turbulent times, as apparent during the COVID-19 crisis, and especially around the great March 2020 market plunge.
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“This distinction was clearly highlighted by [40], and the relevance of endogenous shocks for NFTs' price dynamics (namely their return) was strongly advocated for by [41].”
From What Is the Right Price for Non-Fungible Tokens (NFTs)? A Systematic Review of the Current Literature (2025) · cites this paper as [41]
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“Both the static and the dynamic analysis reveal that during the pandemic the overall interdependence increases.”
From What Is the Right Price for Non-Fungible Tokens (NFTs)? A Systematic Review of the Current Literature (2025) · cites this paper as [41]
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“Nevertheless, the majority of NFTs' return fluctuations can be attributed to endogenous shocks; only a small percentage is due to the trends of other assets.”
From What Is the Right Price for Non-Fungible Tokens (NFTs)? A Systematic Review of the Current Literature (2025) · cites this paper as [41]
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“Ethereum and NFTs are shown to exhibit the highest correlation and volatility in the pandemic period.”
From What Is the Right Price for Non-Fungible Tokens (NFTs)? A Systematic Review of the Current Literature (2025) · cites this paper as [41]
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“However, NFTs do not appear to be correlated with other common assets.”
From What Is the Right Price for Non-Fungible Tokens (NFTs)? A Systematic Review of the Current Literature (2025) · cites this paper as [41]
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Better to give than to receive: Predictive directional measurement of volatility spillovers
Diebold, F. X., & Yılmaz, K. (2011) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2011.02.006 · Cited by 5,814
On the network topology of variance decompositions: Measuring the connectedness of financial firms
Diebold, F. X., & Yılmaz, K. (2014) · Journal of Econometrics · doi:10.1016/j.jeconom.2014.04.012 · Cited by 4,707
No Contagion, Only Interdependence: Measuring Stock Market Comovements
Forbes, K. J., & C, R. R. B. (2002) · The Journal of Finance · doi:10.1111/0022-1082.00494 · Cited by 4,657
Efficient tests for normality, homoscedasticity and serial independence of regression residuals.
Jarque, C. M., & Bera, A. K. (1980) · Economics Letters · doi:10.1016/0165-1765(80)90024-5 · Cited by 4,338
Diebold, F. X., & Yılmaz, K. (2008) · The Economic Journal · doi:10.1111/j.1468-0297.2008.02208.x · Cited by 3,380
Time Varying Structural Vector Autoregressions and Monetary Policy
Primiceri, G. E. (2005) · The Review of Economic Studies · doi:10.1111/j.1467-937x.2005.00353.x · Cited by 3,050
Mapping the NFT revolution: Market trends, trade networks, and visual features
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Return connectedness across asset classes around the COVID-19 outbreak
Bouri, E. I., Çepni, O., Gabauer, D., & Gupta, R. (2020) · International Review of Financial Analysis · doi:10.1016/j.irfa.2020.101646 · Cited by 634
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Metadata
- Authors
- Aharon, D. Y., & Demir, E.
- Affiliations
- Ono Academic College (IL)
- Reykjavík University (IS)
- Corresponding author
- Demir, Ender
- Venue
- Finance Research Letters
- Publisher
- Elsevier BV
- Published
- 2022-06
- Volume
- 47
- Pages
- 102515
- ISSN
- 1544-6123 (ISSN-L)
- PMC
- PMC9643051
- OpenAlex
- W3208066366
- Cited by
- 274
- References
- 23
- Citations by year
- 2026: 22 · 2025: 54 · 2024: 57 · 2023: 86 · 2022: 46
- FWCI
- 37.79
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Finance research letters (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Market Dynamics and Volatility
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Risk and Volatility Modeling
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Keywords
- non-fungible tokens, return connectedness, COVID-19 pandemic, Ethereum, systemic risk, diversification benefits, time-varying connectedness
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