References of "Kräussl, Roman 50002133"
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See detailPricing Dynamics and Herding Behavior of NFTs
Fridgen, Gilbert UL; Kräussl, Roman UL; Papageorgiou, Orestis UL et al

E-print/Working paper (2023)

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 ... [more ▼]

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 determinants that contribute to NFT pricing and the market dynamics. This paper attempts to evaluate these factors analyzing 860,067 art NFTs that have been deployed on the Ethereum blockchain and have been involved in 317,950 sales. We introduce a first-of-its-kind ranking system for NFT artists, adding a novel dimension to our analysis. Our results suggest that market liquidity and intrinsic value strongly predict average price of NFTs. Contrarily, social media activity surprisingly shows a negative association with NFT prices. We also uncover the dominance of a small group of artists, demonstrating the pronounced 'superstar effect' and herding behavior within the NFT market. This market dynamic, however, shows signs of shifting towards independent decision-making during extreme market volatility. [less ▲]

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See detailNon-Fungible Tokens (NFTs): A Review of Pricing Determinants, Applications and Opportunities
Kräussl, Roman UL; Tugnetti, Alessandro UL

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 its 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 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. [less ▲]

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See detailInstitutional Investors and Infrastructure Investing
Kräussl, Roman UL; Andonov, Aleksandar; M. Rauh., Joshua

in Review of Financial Studies (2021), 34(8)(3880-3934),

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See detailGendered Prices
Kräussl, Roman UL; Adams, Renee B.; Navone, Marco A. et al

in Review of Financial Studies (2021), 34(8)(3789-3839),

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See detailStrategic bias and popularity effect in the prediction of economic surprises*
Kräussl, Roman UL; Luiz

in Journal of Forecasting (2020)

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See detailBlockchain, Fractional Ownership, and the Future of Creative Work
Kräussl, Roman UL; Amy, Whitaker

in Management Science (2020)

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See detailGendered prices
Kräussl, Roman UL; Adams, R; Navone, M. et al

in Review of Financial Studies (2020)

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See detailSingle Stock Call Options as Lottery Tickets: Overpricing and Investor Sentiment
Kräussl, Roman UL; Luiz, Félix; P, Stork

in Journal of Behavioral Finance (2019), 20(4), 385-407

Detailed reference viewed: 120 (5 UL)
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See detailReliability and relevance of fair values: private equity investments and investee fundamentals
Kräussl, Roman UL; Ferreira., Petrus H.; Landsman, Wayne R. et al

in Review of Accounting Studies (2019), 24(4),

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See detailImplied Volatility Sentiment: A Tale of Two Tails
Kräussl, Roman UL; Félix; Philip, Stork

in Quantitative Finance (2019)

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See detailReliability and Relevance of Fair Values: Private Equity Investments and Investee Fundamentals
Ferreira, Petrus; Landsman, Wayne R.; Nykyforovych, Maria et al

in SSRN (2019)

Detailed reference viewed: 117 (7 UL)
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See detailSignaling or Marketing? The Role of Discount Control Mechanisms
Kräussl, Roman UL; Stefanova, Denitsa UL; Joshua, Pollet

Scientific Conference (2019)

Detailed reference viewed: 84 (1 UL)
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See detailThe Subsidy to Infrastructure as an Asset Class*
Kräussl, Roman UL; Andonov, Aleksandar; Rauh, Joshua

E-print/Working paper (2018)

Detailed reference viewed: 97 (3 UL)
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See detailSignaling or Marketing? The Role of Discount Control Mechanisms
Kräussl, Roman UL; Polletc, Joshua; Stefanova, Denitsa UL

E-print/Working paper (2018)

Detailed reference viewed: 74 (2 UL)
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See detailThe Performance of Marketplace Lenders:
Kräussl, Roman UL; Kräussl, Zsofia UL; Pollet, Joshua et al

E-print/Working paper (2018)

Detailed reference viewed: 186 (34 UL)
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See detailReliability and Relevance of Fair Values: Private Equity Investments and Investee Fundamentals
Kräussl, Roman UL; Ferreira, Petrus; R. Landsman, Wayne et al

E-print/Working paper (2018)

Detailed reference viewed: 113 (2 UL)
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See detailBlockchain, Fractional Ownership, and the Future of Creative Work
Kräussl, Roman UL; Whitaker, Amy

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: 157 (4 UL)
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See detailSignaling or Marketing? The Role of Discount Control Mechanisms
Kräussl, Roman UL; Stefanova, Denitsa UL; Pollet, Joshua

Scientific Conference (2018)

Detailed reference viewed: 79 (3 UL)
See detailAlternative Investments, Special Issue of the Journal of Empirical Finance
Lehnert, Thorsten UL; Kräussl, Roman UL

Book published by Elsevier (2017)

Detailed reference viewed: 198 (5 UL)
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See detailThe Search for Yield: Implications to Alternative Investments
Lehnert, Thorsten UL; Kräussl, Roman UL; Rinne, Kalle UL

in Journal of Empirical Finance (2017), 44(-), 227-236

Detailed reference viewed: 207 (12 UL)