NFT市场中增强的数字嵌入性和泡沫缓解:稀有性等级对用户交易行为的影响

IF 6.8 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Lin Yuan , Chaoyue Gao , Alvin Chung Man Leung , Qiang Ye
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引用次数: 0

摘要

作为近年来的新兴市场,NFT市场因其显著的市场泡沫而受到广泛关注。为了帮助投资者做出更明智的交易决策,一些NFT市场引入了直接在其界面上显示NFT稀有信息的功能。关于稀有性效应的现有文献表明,这一特征通常会增加交易活动。然而,在NFT市场的独特背景下,它对用户交易行为的影响仍然是一个悬而未决的问题。本研究的重点是Rarible开始在其平台上显示头像(PFP) nft的稀有信息的事件。利用双过程理论的理论视角,我们将稀有标签的引入概念化为增强的数字嵌入性。本研究采用平台上其他具有稀有性信息但不显示稀有性等级标签的NFT集合作为对照组,采用严格的差中差设计。我们发现,这一事件导致交易量和交易价格的下降,主要是针对排名较低的nft,小型收藏品,最近的nft,而不是排名较高的大型收藏品,已建立的nft。额外的时变分析也解释了价格和交易量的异步变化。本研究丰富了关于NFT市场和稀有性效应的文献,拓展了双过程理论的应用,为市场监管者、管理者和平台用户提供了实用的决策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced digital embeddedness and bubble mitigation in NFT marketplaces: The impact of rarity rank on user trading behavior
As a nascent market in recent years, the NFT market has been widely scrutinized for its significant market bubble. To help investors make more informed trading decisions, several NFT marketplaces have introduced features that display the rarity information of NFTs directly on their interfaces. Existing literature on the rarity effect suggests that this feature generally increases trading activity. However, in the unique context of the NFT marketplace, its impact on user trading behavior remains an open question. This study focuses on the event where Rarible began displaying rarity information for profile picture (PFP) NFTs on its platform. Utilizing the theoretical perspective of dual process theory, we conceptualize the introduction of the rarity label as enhanced digital embeddedness. By using other NFT collections on the platform that have rarity information but do not display rarity rank labels as the control group, this study employs a rigorous Difference-in-Differences design. We find that this event leads to a decrease in both trading volume and trading price, primarily for lower-ranked NFTs, small-size collections, recent NFTs rather than top-ranked, large-size collections, established NFTs. Additional time-varying analysis also explains the asynchronous changes in price and trading volume. This study enriches the literature on the NFT marketplaces and the rarity effect, extends the application of dual process theory, and provides practical decision support for market regulators, managers, and platform users.
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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