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,
- Danmarks Tekniske Universitet,
Publikation:
Artikel i tidsskrift og konference artikel i tidsskrift
Tidsskriftartikel
Forskning
Peer-reviewOpen Access
Resume
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.
Publikation information
Produktionstype
Publikation:
Artikel i tidsskrift og konference artikel i tidsskrift
Tidsskriftartikel
Forskning
Peer-reviewOriginalsprog
EngelskArtikelnummer
13890Sider fra-til (Antal sider)
Sider 1-9 (9 sider)Tidsskrift (Bind, Nummer)
Scientific Reports (Bind 12, Udgave 1)Publikationsmilepæle
- Udgivet - 16/08/2022
Publikationsstatus
Udgivet - 16/08/2022
ISSN
2045-2322Publication IDs
- Scopus: 85135987011
Metrikker
PlumX, åbner i en ny fane
Hentninger
73
Antal citationer
97
Omtaler
3
Sociale medier
5
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