2021
DOI: 10.1080/13600834.2021.1950382
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The legal content of a white paper for an ICO (initial coins offering)

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Cited by 6 publications
(5 citation statements)
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“…In the same vein, Aggarwal, Hanley and Zhao (2019) and Yen, Wang and Chen (2021) examine external quality ratings, while Belitski and Boreiko (2022) interpret additional venture characteristics as quality signals. 6 For instance, Faust et al (2022) and Mansouri and Momtaz (2022) examine whitepapers using machine learning models, while Samieifar and Baur (2021), Florysiak and Schandlbauer (2022), Kasatkin (2022) and Thewissen et al (2022Thewissen et al ( , 2023) also focus on whitepaper characteristics; Roosenboom, van der Kolk and de Jong (2020) examine bonus schemes and offering duration; Amsden and Schweizer (2018) consider the ETH/USD traded price and volatility; Albrecht, Lutz and Neumann (2020) focus on the initial offering price and online search trends; Blaseg (2018), Momtaz (2020), Campino, Brochado andRosa (2021), Guzman, Pinto-Gutierrez and Trujillo (2021) Wei (2021), andXu et al (2021) focus on venture team characteristics; venture CEO characteristics are examined by Momtaz (2021aMomtaz ( , 2021c and Colombo et al (2022);Fisch, Meoli and Vismara (2022) examine the choice of token offerings versus traditional financing alternatives; topics such as venture capital investor participation, venture domicile and fraudulent behaviour are examined by Giudici and Adhami (2019), An et al (2021), Hackober and Bock (2021) (similar to the topics examined for traditional venture capital finance by Capizzi, Croce andTenca, 2022 andLevasseur, Johan andEckhardt, 2022), Shrestha et al (2021), Hornuf, Kück andSchwienbacher (2022), Swartz (2022), and…”
Section: Hypothesis Development and Related Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…In the same vein, Aggarwal, Hanley and Zhao (2019) and Yen, Wang and Chen (2021) examine external quality ratings, while Belitski and Boreiko (2022) interpret additional venture characteristics as quality signals. 6 For instance, Faust et al (2022) and Mansouri and Momtaz (2022) examine whitepapers using machine learning models, while Samieifar and Baur (2021), Florysiak and Schandlbauer (2022), Kasatkin (2022) and Thewissen et al (2022Thewissen et al ( , 2023) also focus on whitepaper characteristics; Roosenboom, van der Kolk and de Jong (2020) examine bonus schemes and offering duration; Amsden and Schweizer (2018) consider the ETH/USD traded price and volatility; Albrecht, Lutz and Neumann (2020) focus on the initial offering price and online search trends; Blaseg (2018), Momtaz (2020), Campino, Brochado andRosa (2021), Guzman, Pinto-Gutierrez and Trujillo (2021) Wei (2021), andXu et al (2021) focus on venture team characteristics; venture CEO characteristics are examined by Momtaz (2021aMomtaz ( , 2021c and Colombo et al (2022);Fisch, Meoli and Vismara (2022) examine the choice of token offerings versus traditional financing alternatives; topics such as venture capital investor participation, venture domicile and fraudulent behaviour are examined by Giudici and Adhami (2019), An et al (2021), Hackober and Bock (2021) (similar to the topics examined for traditional venture capital finance by Capizzi, Croce andTenca, 2022 andLevasseur, Johan andEckhardt, 2022), Shrestha et al (2021), Hornuf, Kück andSchwienbacher (2022), Swartz (2022), and…”
Section: Hypothesis Development and Related Literaturementioning
confidence: 99%
“…Not all analysis of whitepapers uses machine learning techniques. In this strand of the literature, Thewissen et al (2022) suggest that particular topics are associated with higher fundraising success, while Thewissen et al (2023) analyse the negative impact of linguistic errors in whitepapers and Kasatkin (2022) focuses on their legal content -a topic which is similar to the 'legal signalling' examined by Schnyder et al (2022) in the context of IPOs.…”
Section: Hypothesis Development and Related Literaturementioning
confidence: 99%
“…Startups and established firms find it attractive to register and launch ICOs in jurisdictions with predictable and clear regulations, such as the legal clarity of BCPs. In such jurisdictions, the initiators of ICO projects can include the key legal provisions in a white paper, providing legal guarantees to investors (Kasatkin 2022). Furthermore, jurisdictions that take administrative measures (Feldman and Kelley 2002;Keuschnigg and Nielsen 2001) to facilitate the availability of key ingredients needed for blockchain firms are preferable from the perspective of locating higherend activities, such as headquarters and R&D facilities, and management employees.…”
Section: Managerial Implicationsmentioning
confidence: 99%
“…In the same vein, Aggarwal, Hanley and Zhao (2019) and Yen, Wang and Chen (2021) examine external quality ratings, while Belitski and Boreiko (2022) interpret additional venture characteristics as quality signals. 6 For instance, Faust et al (2022) and Mansouri and Momtaz (2022) examine whitepapers using machine learning models, while Samieifar andBaur (2021), Florysiak andSchandlbauer (2022), Kasatkin (2022) and Thewissen et al (2022Thewissen et al ( , 2023) also focus on whitepaper characteristics; Roosenboom, van der Kolk and de Jong (2020) examine bonus schemes and offering duration; Amsden and Schweizer (2018) consider the ETH/USD traded price and volatility; Albrecht, Lutz and Neumann (2020) focus on the initial offering price and online search trends; Blaseg (2018), Momtaz (2020), Campino, Brochado and Rosa (2021), Guzman, Pinto-Gutierrez and Trujillo (2021) Huang, Vismara and Wei (2021), and Xu et al (2021) focus on venture team characteristics; venture CEO characteristics are examined by Momtaz (2021aMomtaz ( , 2021c and Colombo et al (2022);Fisch, Meoli and Vismara (2022) examine the choice of token offerings versus traditional financing alternatives; topics such as venture capital investor participation, venture domicile and fraudulent behaviour are examined by Giudici and Adhami (2019), An et al (2021), Hackober and Bock (2021) (similar to the topics examined for traditional venture capital finance by Capizzi, Croce andTenca, 2022 andLevasseur, Johan andEckhardt, 2022), Shrestha et al (2021), Hornuf, Kück and…”
Section: Hypothesis Development and Related Literaturementioning
confidence: 99%
“…Not all analysis of whitepapers uses machine learning techniques. In this strand of the literature, Thewissen et al (2022) suggest that particular topics are associated with higher fundraising success, while Thewissen et al (2023) analyse the negative impact of linguistic errors in whitepapers and Kasatkin (2022) focuses on their legal content -a topic which is similar to the 'legal signalling' examined by Schnyder et al (2022) Lyandres, Palazzo and Rabetti (2022), who examine 980 token offerings between 2013 and 2018. They also review the data quality and availability from multiple online sources.…”
Section: Hypothesis Development and Related Literaturementioning
confidence: 99%