We set the stage for our formal econometric analysis by providing some graphical evidence. For example, in Figure 1, we see a close mapping of the prices of Bitcoin and Ethereum with their respective computing power values. Moreover, in Figure 2, we observe an even stronger mapping of the prices of Bitcoin and Ethereum with their respective network values. Interestingly, these graphs also show that when prices significantly exceed the trend in computing power or network (as was the case in late 2017), prices eventually fall and trace the trend in fundamentals. The convergence of prices to the trend with fundamentals suggests that fundamentals are the ultimate, long-run determinants of prices.
It might be time to remind the millennials that all that glitters is not gold. At least some cryptocurrencies — the new-age investment asset class — are on the verge of extinction. After all, not all tokens are created equal.

This cryptocurrency network has a relatively smaller footprint, and there are several reasons why it is more appealing as an investment option. First, it requires relatively lesser energy to complete transactions using the Cardano network, unlike the much larger bitcoin network. This means the transactions are not only faster, but they’re cheaper as well. The platform also claims to be more secure and adaptable, and they are consistently improving the network’s development to remain ahead of hackers.
Although few cryptocurrencies other than Bitcoin are widely accepted for merchant payments, increasingly active exchanges allow holders to exchange them for Bitcoin or fiat currencies — providing critical liquidity and flexibility. Since the late 2010s, big business and institutional investors have closely watched what they call the “crypto space” too.