Heterogeneous rarity patterns drive price dynamics in NFT collections
- Amin Mekacher,
- Alberto Bracci,
- Mauro Martino,
- Laura Alessandretti,
- ,
- Andrea Baronchelli
- City, University of London,
- IBM Research,
- Technical University of Denmark,
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-reviewOriginal language
EnglishArticle number
13890Pages from-to (Number of pages)
Pages 1-9 (9 pages)Journal (Volume, Issue Number)
Scientific Reports (Volume 12, Issue 1)Publication milestones
- Published - 16/08/2022
Publication status
Published - 16/08/2022
ISSN
2045-2322Publication IDs
- Scopus: 85135987011
Abstract
We quantify Non Fungible Token (NFT) rarity and investigate how it impacts market behaviour by analysing a dataset of 3.7M transactions collected between January 2018 and June 2022, involving 1.4M NFTs distributed across 410 collections. First, we consider the rarity of an NFT based on the set of human-readable attributes it possesses and show that most collections present heterogeneous rarity patterns, with few rare NFTs and a large number of more common ones. Then, we analyze market performance and show that, on average, rarer NFTs: (i) sell for higher prices, (ii) are traded less frequently, (iii) guarantee higher returns on investment, and (iv) are less risky, i.e., less prone to yield negative returns. We anticipate that these findings will be of interest to researchers as well as NFT creators, collectors, and traders.
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