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Investment in non-fungible tokens (NFTs): the return of Ethereum secondary market NFT sales

Author

Listed:
  • Niklas Konstantin Klein

    (Technical University of Darmstadt)

  • Fritz Lattermann

    (Technical University of Darmstadt)

  • Dirk Schiereck

    (Technical University of Darmstadt)

Abstract

The increasing attention to non-fungible tokens (NFTs) since 2021, and many reports of remarkable returns by traders of NFTs raise the question of the actual returns in the whole NFT market. We examine the returns of NFT resales using data of 2.12 million secondary market NFT trades on Ethereum’s five largest marketplaces starting in June 2017 until December 2021 at the individual transaction level and trader level and control for transaction costs by implementing a linear regression model and nonparametric tests. We find that the majority of resales are in profit and a high concentration of profits at the trader level, with the top 10% of traders accounting for the majority of profits, and we identify differences in profits for the analyzed NFT categories. Our results show that experienced investors systematically outperform inexperienced investors, indicating information inefficiency in the NFT market, while we do not find clear evidence for the underperformance of more expensive NFTs compared to less expensive ones. Additionally, we find indications of the importance of pump-and-dump schemes on the level of returns.

Suggested Citation

  • Niklas Konstantin Klein & Fritz Lattermann & Dirk Schiereck, 2023. "Investment in non-fungible tokens (NFTs): the return of Ethereum secondary market NFT sales," Journal of Asset Management, Palgrave Macmillan, vol. 24(4), pages 241-254, July.
    • Handle: RePEc:pal:assmgt:v:24:y:2023:i:4:d:10.1057_s41260-023-00316-1
    DOI: 10.1057/s41260-023-00316-1
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    References listed on IDEAS

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    1. Amin Mekacher & Alberto Bracci & Matthieu Nadini & Mauro Martino & Laura Alessandretti & Luca Maria Aiello & Andrea Baronchelli, 2022. "Heterogeneous rarity patterns drive price dynamics in NFT collections," Papers 2204.10243, arXiv.org, revised Aug 2022.
    2. Yu Huang & Yao Cheng, 2015. "Stock manipulation and its effects: pump and dump versus stabilization," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 791-815, May.
    3. Yousaf, Imran & Yarovaya, Larisa, 2022. "Static and dynamic connectedness between NFTs, Defi and other assets: Portfolio implication," Global Finance Journal, Elsevier, vol. 53(C).
    4. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    5. Matthieu Nadini & Laura Alessandretti & Flavio Di Giacinto & Mauro Martino & Luca Maria Aiello & Andrea Baronchelli, 2021. "Mapping the NFT revolution: market trends, trade networks and visual features," Papers 2106.00647, arXiv.org, revised Sep 2021.
    6. Karim, Sitara & Lucey, Brian M. & Naeem, Muhammad Abubakr & Uddin, Gazi Salah, 2022. "Examining the interrelatedness of NFTs, DeFi tokens and cryptocurrencies," Finance Research Letters, Elsevier, vol. 47(PB).
    7. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara & Tran, Dang K., 2022. "Covid-19 impact on NFTs and major asset classes interrelations: Insights from the wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 47(PB).
    8. Dowling, Michael, 2022. "Fertile LAND: Pricing non-fungible tokens," Finance Research Letters, Elsevier, vol. 44(C).
    9. Jiahua Xu & Benjamin Livshits, 2018. "The Anatomy of a Cryptocurrency Pump-and-Dump Scheme," Papers 1811.10109, arXiv.org, revised Aug 2019.
    10. Yukun Liu & Aleh Tsyvinski, 2021. "Risks and Returns of Cryptocurrency," The Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2689-2727.
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    Cited by:

    1. Dulani Jayasuriya & Alexandra Sims, 2023. "Not So New Kid on the Block: Accounting and Valuation Aspects of Non-Fungible Tokens (NFTs)," JRFM, MDPI, vol. 16(11), pages 1-24, October.

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    More about this item

    Keywords

    Non-fungible tokens; NFT; Resale returns; Blockchain; Investment; Secondary market;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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