DAI digital art index: a robust price index for heterogeneous digital assets

Min-Bin Lin, Bingling Wang, Fabian Y.R.P. Bocart, Christian M. Hafner and Wolfgang Karl Härdle
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Christian M. Hafner: Université catholique de Louvain, LIDAM/ISBA, Belgium

No 2026002, LIDAM Reprints ISBA from Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA)

Abstract: The market of non-fungible tokens (NFTs), driven by blockchain and smart contracts, provides both artists and art collectors an unprecedented marketplace with more security, flexibility, publicity, and freedom to monetize. Yet, the emergence of such a market has been considered to be packed with speculation and economic uncertainty, given the limited understanding towards this market. To provide a precise depiction of the NFT art market and gauge market volatility, we construct the Digital Art Index, a novel price index using hedonic regression on the top 10 liquid NFT art collections (as of 2023). Addressing artwork price inequality, which often disrupts the price discovery process, this paper introduces two innovative alternative methods: Huberization and score-based filtering. These methods effectively mitigate the influence of outliers, particularly in an emerging market with limited accessible observations. In conclusion, the NFT art market presents significant opportunities for large gains, which are often favoured by risk-takers, but also carries the potential for significant losses. Its pricing is necessarily determined by institutional creators and platforms, meaning that solo artists may not benefit significantly in the current market environment.

Keywords: DCS-t filtering; hedonic regression; Huberization; Digital art index; NFT; robustness (search for similar items in EconPapers)
JEL-codes: C14 C43 C51 G10 Z11 (search for similar items in EconPapers)
Pages: 45
Date: 2026-02-09
Note: In: Journal of the Royal Statistical Society Series A: Statistics in Society, 2026
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Persistent link: https://EconPapers.repec.org/RePEc:aiz:louvar:2026002

DOI: 10.1093/jrsssa/qnag008

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