Non-Fungible Tokens (NFTs): A Review of Pricing Determinants, Applications and Opportunities

Kräussl, Roman; Tugnetti, Alessandro

doi:10.1111/joes.12597

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Non-Fungible Tokens (NFTs): A Review of Pricing Determinants, Applications and Opportunities

Kräussl, Roman; Tugnetti, Alessandro

2023 • In Journal of Economic Surveys

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/51051

DOI
10.1111/joes.12597

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Keywords :

digital assets; NFT; pricing; valuation

Abstract :

[en] 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 its 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. We design a framework that can help to understand the price formation of NFTs. We further aim to shed light on the value creating determinants of NFTs in order to better understand investors’ behavior on the blockchain.

Precision for document type :

Review article

Disciplines :

Quantitative methods in economics & management

Author, co-author :

Kräussl, Roman ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Finance (DF)

Tugnetti, Alessandro ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Finance (DF)

External co-authors :

yes

Language :

English

Title :

Non-Fungible Tokens (NFTs): A Review of Pricing Determinants, Applications and Opportunities

Publication date :

08 November 2023

Journal title :

Journal of Economic Surveys

ISSN :

0950-0804

eISSN :

1467-6419

Publisher :

Wiley, Oxford, United Kingdom

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Finance

Available on ORBilu :

since 18 May 2022

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Scopus citations^®
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Bibliography

Acharya, V., Engle, R., & Richardson, M. (2012). Capital shortfall: A new approach to ranking and regulating systemic risks. American Economic Review, 102(3), 59–64.
Aharon, D. Y., & Demir, E. (2022). NFTs and asset class spillovers: Lessons from the period around the COVID-19 pandemic. Finance Research Letters, 47, 102515.
Ante, L. (2022a). The non-fungible token (NFT) market and its relationship with bitcoin and Ethereum. FinTech, 1(3), 216–224.
Ante, L. (2022b). Non-fungible token (NFT) markets on the Ethereum blockchain: Temporal development, cointegration and interrelations. Economics of Innovation and New Technology, 32(8), 1–19.
Asness, C. S., Moskowitz, T. J., & Pedersen, L. H. (2013). Value and momentum everywhere. The Journal of Finance, 68(3), 929–985.
Baker, M., Wurgler, J., & Yuan, Y. (2012). Global, local, and contagious investor sentiment. Journal of Financial Economics, 104(2), 272–287.
Banz, R. W. (1981). The relationship between return and market value of common stocks. Journal of Financial Economics, 9(1), 3–18.
Benamar, H., Foucault, T., & Vega, C. (2021). Demand for information, uncertainty, and the response of U.S. Treasury Securities to News. The Review of Financial Studies, 34(7), 3403–3455.
Boido, C., & Aliano, M. (2023). Digital art and non-fungible-token: Bubble or revolution? Finance Research Letters, 52, 103380.
Borri, N., Liu, Y., & Tsyvinski, A. (2022). The economics of non-fungible tokens. SSRN Scholarly Paper (4052045).
Braden, L. E. A., & Teekens, T. (2019). Reputation, status networks, and the art market. Arts, 8(3), 81.
Burton, B. J., & Jacobsen, J. P. (1999). Measuring returns on investments in collectibles. Journal of Economic Perspectives, 13(4), 193–212.
Campbell, J. Y., Lettau, M., Malkiel, B. G., & Xu, Y. (2022). Idiosyncratic equity risk two decades later. National Bureau of Economic Research Working Paper 29916.
Cong, L. W., & He, Z. (2019). Blockchain disruption and smart contracts. The Review of Financial Studies, 32(5), 1754–1797.
Cong, L. W., He, Z., & Li, J. (2021). Decentralized mining in centralized pools. The Review of Financial Studies, 34(3), 1191–1235.
Crosby, M., Nachiappan, Pattanayak, P., Verma, S., & Kalyanaraman, V. (2016). BlockChain technology: Beyond bitcoin. Applied Innovation Review, 2, 1–19.
Das, S. R., & Uppal, R. (2004). Systemic risk and international portfolio choice. The Journal of Finance, 59(6), 2809–2834.
Davis, J., & Segal, G. (2022). Trendy business cycles and asset prices. The Review of Financial Studies, 36(6), 2509–2570.
De Bondt, W. F. M., & Thaler, R. (1985). Does the stock market overreact? The Journal of Finance, 40(3), 793–805.
De Santis, G., & Gerard, B. (1997). International asset pricing and portfolio diversification with time-varying risk. Journal of Finance, 52(5), 1881–1912.
Dowling, M. (2022). Is non-fungible token pricing driven by cryptocurrencies? Finance Research Letters, 44, 102097.
Ertug, G., Yogev, T., Lee, Y. G., & Hedström, P. (2016). The art of representation: How audience-specific reputations affect success in the contemporary art field. Academy of Management Journal, 59, 113–134.
Fama, E. F., & French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33(1), 3–56.
Goetzmann, W. N., Renneboog, L., & Spaenjers, C. (2011). Art and money. American Economic Review, 101(3), 222–226.
Goldberg, M., Kugler, P., & Schär, F. (2021). Land valuation in the metaverse: Location matters. SSRN Scholarly Paper, (3932189).
Gryglewicz, S., Mayer, S., & Morellec, E. (2021). Optimal financing with tokens. Journal of Financial Economics, 142(3), 1038–1067.
Gu, S., Kelly, B., & Xiu, D. (2020). Empirical asset pricing via machine learning. Review of Financial Studies, 33(5), 2223–2273.
Halim, E., Riyanto, Y. E., & Roy, N. (2019). Costly information acquisition, social networks, and asset prices: Experimental evidence. The Journal of Finance, 74(4), 1975–2010.
Han, B., & Yang, L. (2013). Social networks, information acquisition, and asset prices. Management Science, 59(6), 1444–1457.
Harrison, J. M., & Kreps, D. M. (1978). Speculative investor behavior in a stock market with heterogeneous expectations. The Quarterly Journal of Economics, 92(2), 323–336.
Howell, S. T., Niessner, M., & Yermack, D. (2020). Initial coin offerings: Financing growth with cryptocurrency token sales. The Review of Financial Studies, 33(9), 3925–3974.
Jensen, R. (2022). The rise and fall and rise again of the contemporary art market. Journal of Cultural Economics, 47, 461–488.
Kireyev, P., & Evans, P. (2021). Making sense of the NFT marketplace. Harvard Business Review.
Kireyev, P., & Lin, R. (2021). Infinite but rare: Valuation and pricing in marketplaces for blockchain-based nonfungible tokens. INSEAD Working Paper, (2020/58/MKT).
Kleinhans, J., & LaTour, K. A. (2022). Underpricing Luxury: When a Lower Price Results in Higher Reputation. Cornell Hospitality Quarterly, 63(1), 96–107.
Kong, D.-R., & Lin, T.-C. (2021). Alternative investments in the Fintech era: The risk and return of non-fungible token (NFT). SSRN Scholarly Paper, (ID 3914085).
Korteweg, A., Kräussl, R., & Verwijmeren, P. (2016). Does it pay to invest in art? A selection-corrected returns perspective. The Review of Financial Studies, 29(4), 1007–1038.
Kumar, V., & Reinartz, W. (2016). Creating enduring customer value. Journal of Marketing, 80(6), 36–68.
Lovo, S., & Spaenjers, C. (2018). A model of trading in the art market. American Economic Review, 108(3), 744–774.
Mandel, B. R. (2009). Art as an investment and conspicuous consumption good. American Economic Review, 99(4), 1653–1663.
McAndrew, C. (2023). The art market. UBS Art Basel.
Mei, J., & Moses, M. (2002). Art as an investment and the underperformance of masterpieces. The American Economic Review, 92(5), 1656–1668.
Nadini, M., Alessandretti, L., Di Giacinto, F., Martino, M., Aiello, L. M., & Baronchelli, A. (2021). Mapping the NFT revolution: Market trends, trade networks, and visual features. Scientific Reports, 11(1), 20902.
Oh, S., Rosen, S., & Lee Zhang, A. (2022). Investor experience matters: Evidence from generative art collections on the blockchain. Becker Friedman Institute Working Paper Series, (2022-116).
Ozoguz, A. (2009). Good times or bad times? Investors’ uncertainty and stock returns. The Review of Financial Studies, 22(11), 4377–4422.
Renneboog, L., & Spaenjers, C. (2013). Buying beauty: On prices and returns in the art market. Management Science, 59(1), 36–53.
Schaar, L., & Kampakis, S. (2022). Non-fungible tokens as an alternative investment: Evidence from CryptoPunks. The Journal of The British Blockchain Association, 5(1), 1–12.
Siebert, A., Gopaldas, A., Lindridge, A., & Simões, C. (2020). Customer experience journeys: Loyalty loops versus involvement spirals. Journal of Marketing, 84(4), 45–66.
Umar, Z., Gubareva, M., Teplova, T., & Tran, D. K. (2022). Covid-19 impact on NFTs and major asset classes interrelations: Insights from the wavelet coherence analysis. Finance Research Letters, 47, 102725.
Vasan, K., Janosov, M., & Barabási, A.-L. (2022). Quantifying NFT-driven networks in crypto art. Scientific Reports, 12(1), 2769.
Wang, Q., Li, R., Wang, Q., & Chen, S. (2021). Non-fungible token (NFT): Overview, evaluation, opportunities and challenges. arXiv:2105.07447 [cs].
Whitaker, A., & Kräussl, R. (2020). Fractional equity, blockchain, and the future of creative work. Management Science, 66(10), 4594–4611.
Yogev, T., & Grund, T. (2012). Network dynamics and market structure: The case of art fairs. Sociological Focus, 45(1), 23–40.