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Heterogeneous rarity patterns drive price dynamics in NFT collections

  • Amin Mekacher
    ,
  • Alberto Bracci
    ,
  • Mauro Martino
    ,
  • Laura Alessandretti
    ,
  • ,
  • Andrea Baronchelli
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Article number

13890

Pages 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

2045-2322

Publication 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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