![]() Fridgen, Gilbert ![]() ![]() ![]() E-print/Working paper (2023) Art-related non-fungible tokens (NFTs) took the digital art space by storm in 2021, generating massive amounts of volume and attracting a large number of users to a previously obscure part of blockchain ... [more ▼] Art-related non-fungible tokens (NFTs) took the digital art space by storm in 2021, generating massive amounts of volume and attracting a large number of users to a previously obscure part of blockchain technology. Still, very little is known about the attributes that influence the price of these digital assets. This paper attempts to evaluate the level of speculation associated with art NFTs, comprehend the characteristics that confer value on them and design 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 sale prices, independent of any fundamental value. [less ▲] Detailed reference viewed: 21 (3 UL)![]() Kräussl, Roman ![]() ![]() E-print/Working paper (2022) 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 ... [more ▼] 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. [less ▲] Detailed reference viewed: 154 (27 UL)![]() Kräussl, Roman ![]() in Review of Financial Studies (2021), 34(8)(3880-3934), Detailed reference viewed: 55 (8 UL)![]() Kräussl, Roman ![]() in Review of Financial Studies (2021), 34(8)(3789-3839), Detailed reference viewed: 61 (4 UL)![]() Kräussl, Roman ![]() in Journal of Forecasting (2020) Detailed reference viewed: 127 (3 UL)![]() Kräussl, Roman ![]() in Management Science (2020) Detailed reference viewed: 55 (4 UL)![]() Kräussl, Roman ![]() in Review of Financial Studies (2020) Detailed reference viewed: 60 (6 UL)![]() Kräussl, Roman ![]() in Journal of Behavioral Finance (2019), 20(4), 385-407 Detailed reference viewed: 119 (5 UL)![]() Kräussl, Roman ![]() in Review of Accounting Studies (2019), 24(4), Detailed reference viewed: 53 (0 UL)![]() Kräussl, Roman ![]() in Quantitative Finance (2019) Detailed reference viewed: 66 (3 UL)![]() ; ; et al in SSRN (2019) Detailed reference viewed: 116 (7 UL)![]() ![]() Kräussl, Roman ![]() ![]() Scientific Conference (2019) Detailed reference viewed: 84 (1 UL)![]() Kräussl, Roman ![]() E-print/Working paper (2018) Detailed reference viewed: 95 (3 UL)![]() Kräussl, Roman ![]() ![]() E-print/Working paper (2018) Detailed reference viewed: 72 (2 UL)![]() Kräussl, Roman ![]() ![]() E-print/Working paper (2018) Detailed reference viewed: 182 (33 UL)![]() Kräussl, Roman ![]() E-print/Working paper (2018) Detailed reference viewed: 111 (2 UL)![]() Kräussl, Roman ![]() E-print/Working paper (2018) While record-making prices at art auctions receive headline news coverage, artists typically do not receive any direct proceeds from those sales. Early-stage creative work in any field is perennially ... [more ▼] While record-making prices at art auctions receive headline news coverage, artists typically do not receive any direct proceeds from those sales. Early-stage creative work in any field is perennially difficult to value, but the valuation, reward, and incentivization for artistic labor are particularly fraught. A core challenge in studying the real return on artists’ work is the extreme difficulty accessing data from when an artwork was first sold. Galleries keep private records that are difficult to access and to match to public auction results. This paper, for the first time, uses archivally sourced primary market records, for the artists Jasper Johns and Robert Rauschenberg. Although this approach restricts the size of the data set, this innovative method shows much more accurate returns on art than typical regression and hedonic models. We find that if Johns and Rauschenberg had retained 10% equity in their work when it was first sold, the returns to them when the work was resold at auction would have outperformed the US S&P 500 by between 2 and 986 times. The implication of this work opens up vast policy recommendations with regard to secondary art market sales, entrepreneurial strategies using blockchain technology, and implications about how we compensate creative work. [less ▲] Detailed reference viewed: 148 (4 UL)![]() ![]() Kräussl, Roman ![]() ![]() Scientific Conference (2018) Detailed reference viewed: 77 (3 UL)![]() Lehnert, Thorsten ![]() ![]() Book published by Elsevier (2017) Detailed reference viewed: 171 (5 UL)![]() Lehnert, Thorsten ![]() ![]() ![]() in Journal of Empirical Finance (2017), 44(-), 227-236 Detailed reference viewed: 200 (12 UL) |
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