IDEAS home Printed from https://ideas.repec.org/p/zbw/cfswop/709.html
   My bibliography  Save this paper

The fundamental value of art NFTs

Author

Listed:
  • Fridgen, Gilbert
  • Kräussl, Roman
  • Papageorgiou, Orestis
  • Tugnetti, Alessandro

Abstract

This paper examines the level of speculation associated with art non-fungible tokens (NFTs), comprehends the characteristics that confer value on them and designs a profitable trading strategy based on our findings. We analyze 860,067 art NFTs that have been deployed on the Ethereum blockchain and have been involved in 317,950 sales using machine learning methods to forecast the probability of sale, the trade frequency and the average price. We find that NFTs are highly speculative assets and that their price and recurrence of sale are heavily determined by the floor and the last sales prices, independent of any fundamental value.

Suggested Citation

  • Fridgen, Gilbert & Kräussl, Roman & Papageorgiou, Orestis & Tugnetti, Alessandro, 2023. "The fundamental value of art NFTs," CFS Working Paper Series 709, Center for Financial Studies (CFS).
  • Handle: RePEc:zbw:cfswop:709
    DOI: 10.2139/ssrn.4337173
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/270847/1/1840032014.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.2139/ssrn.4337173?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    2. Horky, Florian & Rachel, Carolina & Fidrmuc, Jarko, 2022. "Price determinants of non-fungible tokens in the digital art market," Finance Research Letters, Elsevier, vol. 48(C).
    3. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    4. Amin Mekacher & Alberto Bracci & Matthieu Nadini & Mauro Martino & Laura Alessandretti & Luca Maria Aiello & Andrea Baronchelli, 2022. "Heterogeneous rarity patterns drive price dynamics in NFT collections," Papers 2204.10243, arXiv.org, revised Aug 2022.
    5. Lennart Ante, 2022. "The Non-Fungible Token (NFT) Market and Its Relationship with Bitcoin and Ethereum," FinTech, MDPI, vol. 1(3), pages 1-9, June.
    6. de Jong,Piet & Heller,Gillian Z., 2008. "Generalized Linear Models for Insurance Data," Cambridge Books, Cambridge University Press, number 9780521879149, September.
    7. Renée B Adams & Roman Kräussl & Marco Navone & Patrick Verwijmeren & Stijn Van Nieuwerburgh, 2021. "Gendered Prices [Can culture affect prices? A cross-cultural study of shopping and retail prices]," The Review of Financial Studies, Society for Financial Studies, vol. 34(8), pages 3789-3839.
      • Renée B Adams & Roman Kräussl & Marco Navone & Patrick Verwijmeren, 2021. "Gendered Prices," Published Paper Series 2021-4, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    8. Jingxing (Rowena) Gan & Gerry Tsoukalas & Serguei Netessine, 2021. "Initial Coin Offerings, Speculation, and Asset Tokenization," Management Science, INFORMS, vol. 67(2), pages 914-931, February.
    9. 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.
    10. Fu, Fangjian, 2009. "Idiosyncratic risk and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 91(1), pages 24-37, January.
    11. Lee, Charles M C & Ready, Mark J & Seguin, Paul J, 1994. "Volume, Volatility, and New York Stock Exchange Trading Halts," Journal of Finance, American Finance Association, vol. 49(1), pages 183-214, March.
    12. Dowling, Michael, 2022. "Is non-fungible token pricing driven by cryptocurrencies?," Finance Research Letters, Elsevier, vol. 44(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mingxuan He, 2023. "Deep Learning for Dynamic NFT Valuation," Papers 2312.05346, arXiv.org.
    2. Ewelina Plachimowicz & Piotr Wójcik, 2022. "What makes Punks worthy? Valuation of Non-Fungible Tokens based on the CryptoPunks collection using the hedonic pricing method," Working Papers 2022-27, Faculty of Economic Sciences, University of Warsaw.
    3. Zhang, Luyao & Sun, Yutong & Quan, Yutong & Cao, Jiaxun & Tong, Xin, 2023. "On the Mechanics of NFT Valuation: AI Ethics and Social Media," OSF Preprints qwpdx, Center for Open Science.
    4. Abugri, Benjamin A. & Dutta, Sandip, 2014. "Are we overestimating REIT idiosyncratic risk? Analysis of pricing effects and persistence," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 249-259.
    5. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
    6. Jyri Kinnunen & Minna Martikainen, 2017. "Expected Returns and Idiosyncratic Risk: Industry-Level Evidence from Russia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(11), pages 2528-2544, November.
    7. Nektarios Aslanidis & Charlotte Christiansen & Neophytos Lambertides & Christos S. Savva, 2019. "Idiosyncratic volatility puzzle: influence of macro-finance factors," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 381-401, February.
    8. Nartea, Gilbert V. & Wu, Ji, 2013. "Is there a volatility effect in the Hong Kong stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 119-135.
    9. Kryzanowski, Lawrence & Mohsni, Sana, 2015. "Earnings forecasts and idiosyncratic volatilities," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 107-123.
    10. Miralles-Marcelo, José Luis & Miralles-Quirós, María del Mar & Miralles-Quirós, José Luis, 2012. "Asset pricing with idiosyncratic risk: The Spanish case," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 261-271.
    11. John Y. Campbell & Martin Lettau & Burton Malkiel & Yexiao Xu, 2023. "Idiosyncratic Equity Risk Two Decades Later," Critical Finance Review, now publishers, vol. 12(1-4), pages 203-223, August.
    12. Su, Zhi & Shu, Tengjia & Yin, Libo, 2018. "The pricing effect of the common pattern in firm-level idiosyncratic volatility: Evidence from A-Share stocks of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 218-235.
    13. Panzica, Roberto Calogero, 2018. "Idiosyncratic volatility puzzle: The role of assets' interconnections," SAFE Working Paper Series 228, Leibniz Institute for Financial Research SAFE.
    14. Vozlyublennaia, Nadia, 2013. "Do firm characteristics matter for the dynamics of idiosyncratic risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 35-46.
    15. Ayadi, Mohamed A. & Cao, Xu & Lazrak, Skander & Wang, Yan, 2019. "Do idiosyncratic skewness and kurtosis really matter?," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    16. Wang, Li-Hsun & Lin, Chu-Hsiung & Kang, Jui-Heng & Fung, Hung-Gay, 2016. "Idiosyncratic volatility and excess Return: Evidence from the Greater China region," Finance Research Letters, Elsevier, vol. 19(C), pages 126-129.
    17. Rajnish Mehra & Sunil Wahal & Daruo Xie, 2021. "Is idiosyncratic risk conditionally priced?," Quantitative Economics, Econometric Society, vol. 12(2), pages 625-646, May.
    18. Bin Liu & Amalia Di Iorio, 2016. "The pricing of idiosyncratic volatility: An Australian study," Australian Journal of Management, Australian School of Business, vol. 41(2), pages 353-375, May.
    19. Chris Brooks & Xiafei Li & Joelle Miffre, 2009. "Time Varying Volatility and the Cross-Section of Equity Returns Â," ICMA Centre Discussion Papers in Finance icma-dp2009-01, Henley Business School, University of Reading.
    20. Garcia, René & Mantilla-García, Daniel & Martellini, Lionel, 2014. "A Model-Free Measure of Aggregate Idiosyncratic Volatility and the Prediction of Market Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(5-6), pages 1133-1165, December.

    More about this item

    Keywords

    Non-fungible tokens (NFTs); Machine Learning; Fundamental Value; Speculation; Ethereum; Blockchain; Non-fungible tokens (NFTs);
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:cfswop:709. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/ifkcfde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.