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Return–Risk Analysis of Real Estate Tokens: An Asset Class of Its Own
KTH, School of Architecture and the Built Environment (ABE), Real Estate and Construction Management, Real Estate Economics and Finance. Digital Futures, Stockholm, Sweden.ORCID iD: 0000-0002-3384-7166
2023 (English)In: Journal of Portfolio Management, ISSN 0095-4918, E-ISSN 2168-8656, Vol. 49, no 10, p. 83-102Article in journal (Refereed) Published
Abstract [en]

This study analyzes the return–risk metrics of real estate security tokens as digital representatives of fractional ownership in physical properties. The author uses approximately 40,000 pricing data points for 180 tokenized properties in the United States between 2019 and 2022 to construct a monthly index. This index is used in various analyses to see whether the tokens’ returns follow the performance of the underlying markets for housing, securitized real estate, stock, and cryptocurrency. The token index shows no clear pattern of similarity to other asset classes and has its own return–risk pattern. The principal component analysis shows that debt and macroeconomic factors are the major drivers and that the crypto market and housing market are of minor importance in explaining variation in returns. This absence of a clear linear relationship with other assets makes real estate tokens attractive as diversifiers in a multiasset portfolio. However, investors looking for an alternative investment vehicle for the real estate asset class cannot rely on tokenized real estate.

Place, publisher, year, edition, pages
With Intelligence LLC , 2023. Vol. 49, no 10, p. 83-102
National Category
Economics
Identifiers
URN: urn:nbn:se:kth:diva-350291DOI: 10.3905/jpm.2023.1.540Scopus ID: 2-s2.0-85175469472OAI: oai:DiVA.org:kth-350291DiVA, id: diva2:1883704
Note

QC 20240711

Available from: 2024-07-11 Created: 2024-07-11 Last updated: 2024-07-11Bibliographically approved

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Steininger, Bertram I.

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