Heterogeneous rarity patterns drive price dynamics in NFT collections.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
16 08 2022
Historique:
received: 08 05 2022
accepted: 02 08 2022
entrez: 16 8 2022
pubmed: 17 8 2022
medline: 19 8 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35974056
doi: 10.1038/s41598-022-17922-5
pii: 10.1038/s41598-022-17922-5
pmc: PMC9381539
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

13890

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2022. The Author(s).

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Auteurs

Amin Mekacher (A)

Department of Mathematics, University of London, London, EC1V 0HB, UK.

Alberto Bracci (A)

Department of Mathematics, University of London, London, EC1V 0HB, UK.

Mauro Martino (M)

IBM Research, Cambridge, MA, USA.

Laura Alessandretti (L)

Technical University of Denmark, 2800, Kgs. Lyngby, Denmark.

Luca Maria Aiello (LM)

IT University of Copenhagen, Copenhagen, Denmark.

Andrea Baronchelli (A)

Department of Mathematics, University of London, London, EC1V 0HB, UK. abaronchelli@turing.ac.uk.
UCL Centre for Blockchain Technologies, University College London, London, WC1E 6BT, UK. abaronchelli@turing.ac.uk.
The Alan Turing Institute, London, NW1 2DB, UK. abaronchelli@turing.ac.uk.

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