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Exploring gender and race biases in the NFT market

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  • Zhong, Howard
  • Hamilton, Mark

Abstract

Non-Fungible Tokens (NFTs) are non-interchangeable assets, usually digital art, which are stored on the blockchain. Preliminary studies find that female and darker-skinned NFTs are valued less than their male and lighter-skinned counterparts. However, these studies analyze only the CryptoPunks collection. We test the statistical significance of race and gender biases in the prices of CryptoPunks and present the first study of gender bias in the broader NFT market. We find evidence of racial bias but not gender bias. Our work also introduces a dataset of gender-labeled NFT collections to advance the broader study of social equity in this emerging market.

Suggested Citation

  • Zhong, Howard & Hamilton, Mark, 2023. "Exploring gender and race biases in the NFT market," Finance Research Letters, Elsevier, vol. 53(C).
    • Handle: RePEc:eee:finlet:v:53:y:2023:i:c:s1544612323000259
    DOI: 10.1016/j.frl.2023.103651
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    References listed on IDEAS

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    1. Dowling, Michael, 2022. "Fertile LAND: Pricing non-fungible tokens," Finance Research Letters, Elsevier, vol. 44(C).
    2. Antoniou, I & Ivanov, Vi.V & Ivanov, Va.V & Zrelov, P.V, 2004. "On the log-normal distribution of stock market data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 331(3), pages 617-638.
    3. Tilman Brück & Neil T N Ferguson & Valeria Izzi & Wolfgang Stojetz, 2021. "Can Jobs Programs Build Peace? [Intergroup Conflict and Intra-Group Punishment in an Experimental Contest Game]," The World Bank Research Observer, World Bank, vol. 36(2), pages 234-259.
    4. Krishanu Saha & Erik J. Sontheimer & P. J. Brooks & Melinda R. Dwinell & Charles A. Gersbach & David R. Liu & Stephen A. Murray & Shengdar Q. Tsai & Ross C. Wilson & Daniel G. Anderson & Aravind Asoka, 2021. "The NIH Somatic Cell Genome Editing program," Nature, Nature, vol. 592(7853), pages 195-204, April.
    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.
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    Cited by:

    1. Menvouta, Emmanuel Jordy & Serneels, Sven & Verdonck, Tim, 2023. "Practicable optimization for portfolios that contain nonfungible tokens," Finance Research Letters, Elsevier, vol. 55(PB).
    2. 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).

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