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@article{2251604,
author = {Hampl, Filip and Láncošová, Elena},
keywords = {utility token; ITO; nature language processing; sentiment analysis; named entity recognition},
language = {eng},
journal = {Accounting & Finance},
title = {The Secrets of Successful Initial Utility Token Offering White Papers, Revealed (UNDER REVIEW)},
year = {2024}
}
TY - JOUR
ID - 2251604
AU - Hampl, Filip - Láncošová, Elena
PY - 2024
TI - The Secrets of Successful Initial Utility Token Offering White Papers, Revealed (UNDER REVIEW)
JF - Accounting & Finance
PB - Wiley on behalf of The Accounting and Finance Association of Australia and New Zealand
KW - utility token
KW - ITO
KW - nature language processing
KW - sentiment analysis
KW - named entity recognition
N2 - The study identifies text-related variables measuring the collocations contained, white paper transparency, and tone to determine the amount of capital raised by an initial utility token offering. The study employs textual analysis and linear regression models to examine a dataset of 1,072 white papers published between 2017 and 2020. The results reveal four specific textual collocations, indicating the importance of financial and technological information, which contribute to the amount of capital obtained. Moreover, the results suggest that mentioning more unique organisations and keeping the tone of the text positive, without too much exaggerated language, enable issuers to raise more funds.
ER -
HAMPL, Filip a Elena LÁNCOŠOVÁ. The Secrets of Successful Initial Utility Token Offering White Papers, Revealed (UNDER REVIEW). Online. \textit{Accounting \&{} Finance}. Wiley on behalf of The Accounting and Finance Association of Australia and New Zealand, 2024.
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