The problem of trust in crypto economics, the risks of private investors in cryptocurrency market are just some of the issues discussed during the two-week summer blockchain courses at the Finance University working under the Government of the Russian Federation.

The educational courses were organized by the adviser at the Financial University rectorate, candidate of economic sciences Alexander Didenko. The school was open from 17 to 30 July, with more than 30 participants attending lectures of experts on cryptography, economics, law and computer technologies.

On 30 July, the blockchain school summarized the most discussable issues related to the blockchain industry. Russian experts concluded that it is vital to study energy constraints under various scenarios while planning to implement distributed ledgers in different industries of the global economy. CoinFox attended their panel discussion.

The authors put forward the hypothesis that energy is a dramatically limiting factor for the blockchain technology. It is necessary to thoroughly calculate energy costs of Internet of things and cryptocurrencies platforms using different consensus algorithms.

DLT may pose various risks to private investors, governmental bodies and business owners, and it is necessary to classify all those types and risk factors in the cryptocurrency market.

The authors concluded that technological risk is the most important one. This risk is a feature that distinguishes cryptocurrency projects from traditional economy ones. In this regard, experts announced their intentions to calculate how technological risks (as well as information about their occurrence) affect the overall cumulative price risk of these assets.

Confidence is a major factor of dynamical growth of cryptocurrency economics. The authors expressed their opinion that crypto projects most actively expanding are not only those with so-called technical confidence (as bitcoin), but also with social confidence, for example, to the project founder (as Ethereum). The plans are to develop and calculate a confidence index of various cryptocurrency communities and, as a consequence, to predict their development.

These issues are planned to be further studied, and their authors are supposed to release their projects, including ready-made models and indexes.