Picking flowers in an ICO garden

• Main Authors: TENG, Fam Guo, GRIFFIN, Paul R., KOH, Andrew
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: blockchain; Ethereum; ICO; Initial Coin Offerings; quality; data analysis; MITB student; Finance and Financial Management; Numerical Analysis and Scientific Computing; Technology and Innovation
• Online Access: https://ink.library.smu.edu.sg/sis_research/5900; https://ink.library.smu.edu.sg/context/sis_research/article/6910/viewcontent/picking_flowers.pdf
• Institution: Singapore Management University

The rise of Initial Coin Offerings (ICO) in recent times and their potential for investment opportunities have investors spending a lot of time researching ICOs or having to follow the crowd. This paper aims to explore four broad factors of ICOs: identity, credibility, investor sentiment, and price movement to develop a framework that is useful in determining ICO quality. Research is shown using data sources including public forums, chat groups, web sites, white papers as well as smart contract details. Finally, a system, based on the framework, is proposed that can be used to detect and regulate ICO activities and even potentially identifying fraudulent ICOs. Ultimately, the framework aims to improve the current ICO eco-system based on self-regulation, and standards.