Characterizing the Initial and Subsequent NFT Sales Market Dynamics: Perspectives From Boom and Slump Periods

The NFT phenomenon has disrupted the traditional notion of digital ownership. As distinct digital assets, NFTs serve as proof of ownership for crypto assets, for example, art, music, trading cards, or in-game items. The NFT market experienced unprecedented growth in 2021, with NFTs solidifying their...

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Main Authors: Ej Cho, George Jensen, Yongmin Yoo, Aniket Mahanti, Jong-Kyou Kim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10320355/
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author Ej Cho
George Jensen
Yongmin Yoo
Aniket Mahanti
Jong-Kyou Kim
author_facet Ej Cho
George Jensen
Yongmin Yoo
Aniket Mahanti
Jong-Kyou Kim
author_sort Ej Cho
collection DOAJ
description The NFT phenomenon has disrupted the traditional notion of digital ownership. As distinct digital assets, NFTs serve as proof of ownership for crypto assets, for example, art, music, trading cards, or in-game items. The NFT market experienced unprecedented growth in 2021, with NFTs solidifying their position as a transformative technology in the digital realm. The market growth peaked during the boom period in January 2022, and has since declined, experiencing a major slump in June 2022. The market is not yet commonplace for everyone. Within the market, the initial sales market is more challenging to enter than the subsequent sales market since the former requires a higher seller entry cost. This paper decouples the initial and subsequent sales markets on the largest NFT market platform, OpenSea, and examines the markets across the two distinct periods in the NFT market history: the boom period of January 2022 and the slump period of June 2022. For the study dataset, sales transaction records are extracted from Opensea. This study discovers many properties which are invariant between the boom and slump: higher pricing in subsequent sales than in initial sales, rapid market movement (more in the initial sales), skewed revenue generation, and statistically strong regressors from Linear Discriminant Analysis (LDA) to distinguish between different resale return types, ranging from large loss to large profit. The finding indicates that the initial and subsequent sales markets are not identical. However, the composition and behaviour of the markets listed prior would be scale-free to the markets’ economics stages. When we simulated a resale return with a zero hidden cost, the number of profit returns in resale inflated, suggesting that hidden costs should be surfaced and/or minimised to improve an investor’s experience in the subsequent sales market. Our study sheds light on the dynamics of the NFT initial and subsequent sales markets across the boom and slump periods. By evaluating the two market types separately, we contribute to demystifying the subsequent sales market, which can be veiled without the market type distinction due to the initial sales market’s over-representation. Ordinary people, who are generally incapable of affording a seller’s entry cost in the initial NFT sales market, would notably benefit from this study. Since the study covers the two extreme periods, its finding will provide certainty, even in an atypical period.
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spelling doaj.art-2fd2a69c3bd84483a2c094a7de30783e2024-01-10T00:06:05ZengIEEEIEEE Access2169-35362024-01-01123638365810.1109/ACCESS.2023.333389710320355Characterizing the Initial and Subsequent NFT Sales Market Dynamics: Perspectives From Boom and Slump PeriodsEj Cho0George Jensen1Yongmin Yoo2https://orcid.org/0000-0002-9782-7244Aniket Mahanti3https://orcid.org/0000-0002-6545-3073Jong-Kyou Kim4https://orcid.org/0000-0002-9248-3016School of Computer Science, University of Auckland, Auckland, New ZealandSchool of Computer Science, University of Auckland, Auckland, New ZealandSchool of Computer Science, University of Auckland, Auckland, New ZealandSchool of Computer Science, University of Auckland, Auckland, New ZealandDepartment of Computer Science, University of New Brunswick, Saint John, CanadaThe NFT phenomenon has disrupted the traditional notion of digital ownership. As distinct digital assets, NFTs serve as proof of ownership for crypto assets, for example, art, music, trading cards, or in-game items. The NFT market experienced unprecedented growth in 2021, with NFTs solidifying their position as a transformative technology in the digital realm. The market growth peaked during the boom period in January 2022, and has since declined, experiencing a major slump in June 2022. The market is not yet commonplace for everyone. Within the market, the initial sales market is more challenging to enter than the subsequent sales market since the former requires a higher seller entry cost. This paper decouples the initial and subsequent sales markets on the largest NFT market platform, OpenSea, and examines the markets across the two distinct periods in the NFT market history: the boom period of January 2022 and the slump period of June 2022. For the study dataset, sales transaction records are extracted from Opensea. This study discovers many properties which are invariant between the boom and slump: higher pricing in subsequent sales than in initial sales, rapid market movement (more in the initial sales), skewed revenue generation, and statistically strong regressors from Linear Discriminant Analysis (LDA) to distinguish between different resale return types, ranging from large loss to large profit. The finding indicates that the initial and subsequent sales markets are not identical. However, the composition and behaviour of the markets listed prior would be scale-free to the markets’ economics stages. When we simulated a resale return with a zero hidden cost, the number of profit returns in resale inflated, suggesting that hidden costs should be surfaced and/or minimised to improve an investor’s experience in the subsequent sales market. Our study sheds light on the dynamics of the NFT initial and subsequent sales markets across the boom and slump periods. By evaluating the two market types separately, we contribute to demystifying the subsequent sales market, which can be veiled without the market type distinction due to the initial sales market’s over-representation. Ordinary people, who are generally incapable of affording a seller’s entry cost in the initial NFT sales market, would notably benefit from this study. Since the study covers the two extreme periods, its finding will provide certainty, even in an atypical period.https://ieeexplore.ieee.org/document/10320355/Initial salemarket boommarket dynamicsmarket participant behaviourmarket slumpNFT
spellingShingle Ej Cho
George Jensen
Yongmin Yoo
Aniket Mahanti
Jong-Kyou Kim
Characterizing the Initial and Subsequent NFT Sales Market Dynamics: Perspectives From Boom and Slump Periods
IEEE Access
Initial sale
market boom
market dynamics
market participant behaviour
market slump
NFT
title Characterizing the Initial and Subsequent NFT Sales Market Dynamics: Perspectives From Boom and Slump Periods
title_full Characterizing the Initial and Subsequent NFT Sales Market Dynamics: Perspectives From Boom and Slump Periods
title_fullStr Characterizing the Initial and Subsequent NFT Sales Market Dynamics: Perspectives From Boom and Slump Periods
title_full_unstemmed Characterizing the Initial and Subsequent NFT Sales Market Dynamics: Perspectives From Boom and Slump Periods
title_short Characterizing the Initial and Subsequent NFT Sales Market Dynamics: Perspectives From Boom and Slump Periods
title_sort characterizing the initial and subsequent nft sales market dynamics perspectives from boom and slump periods
topic Initial sale
market boom
market dynamics
market participant behaviour
market slump
NFT
url https://ieeexplore.ieee.org/document/10320355/
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