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ICO Financial Risks Scoring Models: Research and Development

Student: Lazarenko Aleksandr

Supervisor: Sergey M. Avdoshin

Faculty: Faculty of Computer Science

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2018

In the last few years blockchain companies gained a lot of popularity. ICO (initial coin offering) is the one of the most widespread way of raising money. Tokens issued with ICO are almost immediately available on the cryptocurrency exchanges. Despite all the transparency and availability of public blockchain data it is still very hard to identify a really good and profitable project with reliable team and sufficient level of security. Due to this fact we decided to conduct a research on the scoring models of the financial risks of ICO projects. The goal of the current paper is research and development of Scoring models for financial risks assessment. We provided the first academic research on financial risks related to information security and investment transaction tracing. The classification of scoring models is shown in the paper as well as the results of research.

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