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Non-fungible tokens (NFTs): A review of pricing determinants, applications and opportunities

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  • Kräussl, Roman
  • Tugnetti, Alessandro

Abstract

This paper provides a review of the development of the non-fungible tokens (NFTs) market, with a particular focus on its pricing determinants, its current applications and future opportunities. We investigate the current state of the NFT markets and highlight the perception and expectations of investors towards these products. We summarize and compare the financial and econometric models that have been used in the literature for the pricing of non-fungible tokens with a special focus on their predictive performance. Our intention is to design a framework that can help understanding the price formation of NFTs. We further aim to shed light on the value creating determinants of NFTs in order to better understand the investors' behavior on the blockchain.

Suggested Citation

  • Kräussl, Roman & Tugnetti, Alessandro, 2023. "Non-fungible tokens (NFTs): A review of pricing determinants, applications and opportunities," CFS Working Paper Series 693, Center for Financial Studies (CFS).
  • Handle: RePEc:zbw:cfswop:693
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    1. William N Goetzmann & Christophe Spaenjers & Stijn Van Nieuwerburgh, 2021. "Real and Private-Value Assets [Gendered prices]," The Review of Financial Studies, Society for Financial Studies, vol. 34(8), pages 3497-3526.
    2. Escanciano, J. Carlos & Lobato, Ignacio N., 2009. "An automatic Portmanteau test for serial correlation," Journal of Econometrics, Elsevier, vol. 151(2), pages 140-149, August.
    3. Benjamin J. Burton & Joyce P. Jacobsen, 1999. "Measuring Returns on Investments in Collectibles," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 193-212, Fall.
    4. Sabrina T Howell & Marina Niessner & David Yermack & Jiang Wei, 2020. "Initial Coin Offerings: Financing Growth with Cryptocurrency Token Sales," The Review of Financial Studies, Society for Financial Studies, vol. 33(9), pages 3925-3974.
    5. Jianping Mei & Michael Moses, 2002. "Art as an Investment and the Underperformance of Masterpieces," American Economic Review, American Economic Association, vol. 92(5), pages 1656-1668, December.
    6. Arthur Korteweg & Roman Kräussl & Patrick Verwijmeren, 2016. "Does it Pay to Invest in Art? A Selection-Corrected Returns Perspective," The Review of Financial Studies, Society for Financial Studies, vol. 29(4), pages 1007-1038.
    7. Manuel Dominguez & Ignacio Lobato, 2003. "Testing the Martingale Difference Hypothesis," Econometric Reviews, Taylor & Francis Journals, vol. 22(4), pages 351-377.
    8. Gryglewicz, Sebastian & Mayer, Simon & Morellec, Erwan, 2021. "Optimal financing with tokens," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1038-1067.
    9. Stefano Giglio & Matteo Maggiori & Krishna Rao & Johannes Stroebel & Andreas Weber & Stijn Van Nieuwerburgh, 2021. "Climate Change and Long-Run Discount Rates: Evidence from Real Estate [Abrupt climate change]," The Review of Financial Studies, Society for Financial Studies, vol. 34(8), pages 3527-3571.
    10. Lin William Cong & Zhiguo He, 2019. "Blockchain Disruption and Smart Contracts," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1754-1797.
    11. Bruno Biais & Christophe Bisière & Matthieu Bouvard & Catherine Casamatta, 2019. "The Blockchain Folk Theorem," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1662-1715.
    12. Matthieu Nadini & Laura Alessandretti & Flavio Di Giacinto & Mauro Martino & Luca Maria Aiello & Andrea Baronchelli, 2021. "Mapping the NFT revolution: market trends, trade networks and visual features," Papers 2106.00647, arXiv.org, revised Sep 2021.
    13. Kim, Jae H., 2009. "Automatic variance ratio test under conditional heteroskedasticity," Finance Research Letters, Elsevier, vol. 6(3), pages 179-185, September.
    14. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara & Tran, Dang K., 2022. "Covid-19 impact on NFTs and major asset classes interrelations: Insights from the wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 47(PB).
    15. Dowling, Michael, 2022. "Fertile LAND: Pricing non-fungible tokens," Finance Research Letters, Elsevier, vol. 44(C).
    16. Lu Han, 2010. "The Effects of Price Risk on Housing Demand: Empirical Evidence from U.S. Markets," The Review of Financial Studies, Society for Financial Studies, vol. 23(11), pages 3889-3928, November.
    17. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    18. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    19. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    20. Easley, David & O'Hara, Maureen & Basu, Soumya, 2019. "From mining to markets: The evolution of bitcoin transaction fees," Journal of Financial Economics, Elsevier, vol. 134(1), pages 91-109.
    21. Gençay, Ramazan & Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon J., 2001. "An Introduction to Wavelets and Other Filtering Methods in Finance and Economics," Elsevier Monographs, Elsevier, edition 1, number 9780122796708.
    22. Justin Murfin & Matthew Spiegel & Jose Scheinkman, 2020. "Is the Risk of Sea Level Rise Capitalized in Residential Real Estate?," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1217-1255.
    23. Benjamin R. Mandel, 2009. "Art as an Investment and Conspicuous Consumption Good," American Economic Review, American Economic Association, vol. 99(4), pages 1653-1663, September.
    24. Bouri, Elie & Shahzad, Syed Jawad Hussain & Roubaud, David & Kristoufek, Ladislav & Lucey, Brian, 2020. "Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 156-164.
    25. J. Michael Harrison & David M. Kreps, 1978. "Speculative Investor Behavior in a Stock Market with Heterogeneous Expectations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 92(2), pages 323-336.
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