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Digital Real Estate in the Metaverse: An Empirical Analysis of Retail Investor Motivations

Author

Listed:
  • Lennart Ante
  • Friedrich-Philipp Wazinski
  • Aman Saggu

Abstract

This paper investigates retail investor motivations for digital real estate ownership in the crypto-metaverse. Utilizing a detailed financial behavior survey of metaverse landowners' intrinsic and extrinsic motivations, we apply principal components analysis to uncover four distinct motivational groups: (1) Aesthetics and Identity, (2) Social and Community, (3) Speculation and Investment, and (4) Innovation and Technology. Our findings reveal that age, education, investment knowledge, risk-taking, and impulsivity significantly influence investor group membership. This research provides valuable insights to investors and developers, underscoring the potential of a platform to attract retail investors with speculative intentions, engagement longevity, and passive or active trading characteristics, contingent on unique crypto-metaverse attributes.

Suggested Citation

  • Lennart Ante & Friedrich-Philipp Wazinski & Aman Saggu, 2023. "Digital Real Estate in the Metaverse: An Empirical Analysis of Retail Investor Motivations," Papers 2308.10309, arXiv.org.
    • Handle: RePEc:arx:papers:2308.10309
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    References listed on IDEAS

    as
    1. Voraprapa Nakavachara & Kanis Saengchote, 2022. "Is Metaverse LAND a good investment? It depends on your unit of account!," Papers 2202.03081, arXiv.org.
    2. Katherine W. McCain, 1990. "Mapping authors in intellectual space: A technical overview," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 433-443, September.
    3. Voraprapa Nakavachara & Kanis Saengchote, 2022. "Is Metaverse LAND a Good Investment? It Depends on Your Unit of Account!," PIER Discussion Papers 172, Puey Ungphakorn Institute for Economic Research.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • R39 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other

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