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Dissecting returns of non-fungible tokens (NFTs): Evidence from CryptoPunks

Author

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  • Wang, Jying-Nan
  • Lee, Yen-Hsien
  • Liu, Hung-Chun
  • Hsu, Yuan-Teng

Abstract

We use transaction data on CryptoPunks to dissect the factors affecting the returns of non-fungible tokens (NFTs). Our results show that trading volume in the short period before a trader buys (sells) CryptoPunk relates negatively (positively) to the returns on NFTs, suggesting that when market trading volume is at a high level, NFT owners are better off on the sell side, and investors interested in NFTs should avoid joining the herd. Turnover of a token tends to harm its returns. Finally, both traders’ willingness to purchase and trading experience have a positive impact on NFT returns within short-term investment horizons.

Suggested Citation

  • Wang, Jying-Nan & Lee, Yen-Hsien & Liu, Hung-Chun & Hsu, Yuan-Teng, 2023. "Dissecting returns of non-fungible tokens (NFTs): Evidence from CryptoPunks," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:ecofin:v:65:y:2023:i:c:s1062940823000153
    DOI: 10.1016/j.najef.2023.101892
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    References listed on IDEAS

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    1. 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).
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    Cited by:

    1. Proelss, Juliane & Sévigny, Stéphane & Schweizer, Denis, 2023. "GameFi: The perfect symbiosis of blockchain, tokens, DeFi, and NFTs?," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Yousaf, Imran & Gubareva, Mariya & Teplova, Tamara, 2023. "Connectedness of non-fungible tokens and conventional cryptocurrencies with metals," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    3. Dinçer, Hasan & Yüksel, Serhat & An, Jaehyung & Mikhaylov, Alexey, 2024. "Quantum and AI-based uncertainties for impact-relation map of multidimensional NFT investment decisions," Finance Research Letters, Elsevier, vol. 66(C).

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    More about this item

    Keywords

    NFTs; CryptoPunks; Ethereum; COVID-19; Cryptocurrency;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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