This study applies Fama-French-style factor loading analysis to cryptocurrency financial performance data to determine the originality of 32 novel consensus algorithms and 20 hybrid consensus mechanisms as compared to conventional PoW and PoS using a sample of 302 cryptos.Read More →
This paper uses a unique dataset of 120 regulatory events from five classes to test the relevance of the regulatory framework for cryptocurrency value.Read More →
Osiris researchers have developed first-of-a-kind valuation model for PoW coins.Read More →
In November 2018, the Osiris Team has authored an article “Cryptocurrency Value and 51% Attacks: Evidence from Event Studies”, where we were the first in the field to suggest a framework of measuring fundamental risk exposures of proof-of-work cryptocurrencies to majority attacksRead More →
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