Decoding the premium: The effect of name fluency on NFT artwork valuation

Sehwon Kang and Hyelim Oh

Economics Letters, 2025, vol. 255, issue C

Abstract: This paper examines how the fluency of an NFT’s title affects its market valuation. Leveraging sales data from Damien Hirst’s renowned NFT collection, The Currency, we find a positive association between name fluency and NFT price. Tokens with higher name fluency, measured by shorter titles and simpler syntax, achieve significantly higher prices. These findings extend heuristic-based theories in finance and economics by demonstrating that fluent cues influence investors’ valuations in the emerging blockchain-empowered NFT markets.

Keywords: Non-fungible token; Digital art; Name fluency; Machine learning (search for similar items in EconPapers)
JEL-codes: G11 G41 Z11 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:255:y:2025:i:c:s0165176525003775

DOI: 10.1016/j.econlet.2025.112540

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