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.
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"In fact, open pump and dump schemes are rampant in the crypto world, with investors often jumping in with eyes wide open, perhaps hoping that they can ride the wave and dump their holdings for a quick profit before prices collapse," he said.
When that’s the case and demand increases, the price of that underlying asset goes up. Roughly speaking, this is the simplest way to address how the prices of cryptos fluctuate.