Stylized facts of metaverse non-fungible tokens

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
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Abstract

Non-Fungible Tokens (NFTs) within the metaverse represent a rapidly emerging sector in the digital asset space. This paper provides a comprehensive review of the metaverse’s history and an analysis of the stylized facts of five metaverse NFTs: Axie Infinity, Decentraland, Enjin Coin, Theta Network, and The Sandbox. We examine market efficiency, volatility clustering, leverage effects, and the return-volume relationship. Our key findings show that all NFT returns exhibit kurtosis values significantly exceeding the standard value of three, indicating more peaked and heavier-tailed distributions than a normal distribution. Autocorrelation analysis reveals statistically insignificant results, suggesting minimal influence of past returns on current returns. The Hurst exponent fluctuates between 0.3 and 0.8, indicating relative inefficiency in log returns with varying degrees of trend reinforcement and anti-persistence. The GARCH(1,1) model confirms the presence of volatility clustering, with high persistence of volatility shocks over time, and most NFT returns exhibit a negative leverage effect, where negative returns decrease volatility. These findings provide critical insights for investors, content creators, and policymakers, emphasizing the need for innovative strategies and regulatory considerations in this evolving ecosystem. A comparative analysis using alternative metaverse-related assets from Bloomberg and Yield Guild Games enhances the robustness of our findings, enriching the academic discourse on digital assets and laying the groundwork for future research in metaverse NFTs.

元宇宙非可变代币的风格化事实
元宇宙中的不可兑换代币(NFT)是数字资产领域迅速崛起的一个领域。本文全面回顾了元宇宙的历史,并分析了五种元宇宙 NFT 的典型事实:Axie Infinity、Decentraland、Enjin Coin、Theta Network 和 The Sandbox。我们研究了市场效率、波动性集群、杠杆效应以及回报与交易量之间的关系。我们的主要研究结果表明,所有 NFT 回报的峰度值都大大超过了 3 的标准值,这表明其分布比正态分布更加峰化,尾部更重。自相关分析显示统计上不显著的结果,表明过去的回报对当前回报的影响微乎其微。赫斯特指数在 0.3 和 0.8 之间波动,表明对数收益率在不同程度的趋势加强和反持续情况下相对低效。GARCH(1,1) 模型证实了波动集群的存在,随着时间的推移,波动冲击具有很高的持续性,大多数 NFT 回报表现出负杠杆效应,即负回报会降低波动性。这些发现为投资者、内容创作者和政策制定者提供了重要启示,强调了在这一不断发展的生态系统中采取创新战略和监管措施的必要性。使用彭博社和 Yield Guild Games 的其他元宇宙相关资产进行的比较分析增强了我们研究结果的稳健性,丰富了有关数字资产的学术讨论,并为元宇宙 NFT 的未来研究奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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