Cargando…
Initial Coin Offerings: Risk or Opportunity?
Initial coin offerings (ICOs) are one of the several by-products in the world of the cryptocurrencies. Start-ups and existing businesses are turning to alternative sources of capital as opposed to classical channels like banks or venture capitalists. They can offer the inner value of their business...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861230/ https://www.ncbi.nlm.nih.gov/pubmed/33733137 http://dx.doi.org/10.3389/frai.2020.00018 |
_version_ | 1783647040232751104 |
---|---|
author | Toma, Anca Mirela Cerchiello, Paola |
author_facet | Toma, Anca Mirela Cerchiello, Paola |
author_sort | Toma, Anca Mirela |
collection | PubMed |
description | Initial coin offerings (ICOs) are one of the several by-products in the world of the cryptocurrencies. Start-ups and existing businesses are turning to alternative sources of capital as opposed to classical channels like banks or venture capitalists. They can offer the inner value of their business by selling “tokens,” i.e., units of the chosen cryptocurrency, like a regular firm would do by means of an IPO. The investors, of course, hope for an increase in the value of the token in the short term, provided a solid and valid business idea typically described by the ICO issuers in a white paper. However, fraudulent activities perpetrated by unscrupulous actors are frequent and it would be crucial to highlight in advance clear signs of illegal money raising. In this paper, we employ statistical approaches to detect what characteristics of ICOs are significantly related to fraudulent behavior. We leverage a number of different variables like: entrepreneurial skills, Telegram chats, and relative sentiment for each ICO, type of business, issuing country, team characteristics. Through logistic regression, multinomial logistic regression, and text analysis, we are able to shed light on the riskiest ICOs. |
format | Online Article Text |
id | pubmed-7861230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78612302021-03-16 Initial Coin Offerings: Risk or Opportunity? Toma, Anca Mirela Cerchiello, Paola Front Artif Intell Artificial Intelligence Initial coin offerings (ICOs) are one of the several by-products in the world of the cryptocurrencies. Start-ups and existing businesses are turning to alternative sources of capital as opposed to classical channels like banks or venture capitalists. They can offer the inner value of their business by selling “tokens,” i.e., units of the chosen cryptocurrency, like a regular firm would do by means of an IPO. The investors, of course, hope for an increase in the value of the token in the short term, provided a solid and valid business idea typically described by the ICO issuers in a white paper. However, fraudulent activities perpetrated by unscrupulous actors are frequent and it would be crucial to highlight in advance clear signs of illegal money raising. In this paper, we employ statistical approaches to detect what characteristics of ICOs are significantly related to fraudulent behavior. We leverage a number of different variables like: entrepreneurial skills, Telegram chats, and relative sentiment for each ICO, type of business, issuing country, team characteristics. Through logistic regression, multinomial logistic regression, and text analysis, we are able to shed light on the riskiest ICOs. Frontiers Media S.A. 2020-04-16 /pmc/articles/PMC7861230/ /pubmed/33733137 http://dx.doi.org/10.3389/frai.2020.00018 Text en Copyright © 2020 Toma and Cerchiello. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Toma, Anca Mirela Cerchiello, Paola Initial Coin Offerings: Risk or Opportunity? |
title | Initial Coin Offerings: Risk or Opportunity? |
title_full | Initial Coin Offerings: Risk or Opportunity? |
title_fullStr | Initial Coin Offerings: Risk or Opportunity? |
title_full_unstemmed | Initial Coin Offerings: Risk or Opportunity? |
title_short | Initial Coin Offerings: Risk or Opportunity? |
title_sort | initial coin offerings: risk or opportunity? |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861230/ https://www.ncbi.nlm.nih.gov/pubmed/33733137 http://dx.doi.org/10.3389/frai.2020.00018 |
work_keys_str_mv | AT tomaancamirela initialcoinofferingsriskoropportunity AT cerchiellopaola initialcoinofferingsriskoropportunity |