We further explore the significance of cryptocurrency fundamentals at the aggregate market level using traditional asset pricing tests. For this analysis, we construct risk factors that are based on aggregate values of computing power and network. We denote the aggregate computing power factor with ACP and aggregate network factor with ANET. The innovation in constructing these factors is that we express them in cryptocurrency return units following the factor mimicking portfolio approach (Knez et al. 1994, Lamont 2001, Vassalou 2003).
About 15 years later, an accomplished software engineer named Wei Dai published a white paper on b-money, a virtual currency architecture that included many of the basic components of modern cryptocurrencies, such as complex anonymity protections and decentralization.

It’s always hard to know exactly what is driving crypto prices given the opacity of the market and a certain rather large player whose name rhymes with weather, but we think it’s probably partly related to the same market madness that drove GameStop to da moon, as well as to a desire for an alternative to central bank-issued money due to worries about the government overreach (by means of Covid restrictions), and also endorsements from chief executives at the likes of PayPal, Tesla and Twitter/Square.
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