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异质稀有模式驱动 NFT 藏品的价格动态。

Heterogeneous rarity patterns drive price dynamics in NFT collections.

机构信息

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

Elliptic Inc., London, UK.

出版信息

Sci Rep. 2022 Aug 16;12(1):13890. doi: 10.1038/s41598-022-17922-5.

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.

摘要

我们对非同质化代币(NFT)的稀有性进行了量化,并通过分析一个包含 2018 年 1 月至 2022 年 6 月期间收集的 370 万笔交易、涉及 410 个系列的 140 万枚 NFT 的数据集,研究了它对市场行为的影响。首先,我们根据 NFT 所拥有的一套人类可读属性来考虑它的稀有性,并表明大多数系列呈现出不均匀的稀有模式,少数 NFT 很稀有,而更多的则较为常见。然后,我们分析了市场表现,并表明,平均而言,更稀有的 NFT:(i)售价更高,(ii)交易频率较低,(iii)投资回报更高,(iv)风险较低,即不太可能产生负回报。我们预计这些发现将引起研究人员以及 NFT 创作者、收藏家和交易商的兴趣。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5175/9381539/d0b327550851/41598_2022_17922_Fig1_HTML.jpg

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