The long term positive coherence relationship observed between online metrics and price may be the result of another factor which we hypothesise could be technical progress. As a project makes technical progress, it is likely to have a community form around it over time, increasing online activity and also demand, and hence price, of the particular cryptocurrency. An interesting avenue of future work would be to consider the coherence between price and technical progress (via looking at each projects source code repository—these are available as cryptocurrency projects are generally open-source).
Since the Great Recession ended more than 12 years ago, growth stocks have been the talk of Wall Street. Historically low lending rates and an accommodative Federal Reserve have paved the way for fast-paced companies to borrow cheaply in order to hire, acquire, and innovate. A report from J.P. Morgan Asset Management, a division of JPMorgan Chase, found the average annual return for companies that initiated and grew their payouts between 1972 and 2012 completely trounced the average annual return of companies that didn't pay a dividend over the same four-decade span (9.5% vs. 1.6%).

The crypto community is witnessing impressive growth in the fourth quarter. With several altcoins rising out of the odds. Meanwhile, the dominance of the star crypto is at 41.4%. Numerous newer and lesser-known coins in the crypto industry are giving out impressive returns, leaving out top-tier coins behind the dust.
In order to provide a methodology to detect bubbles in time series, Phillips, Wu, and Yu [23] proposed the supremum augmented Dickey-Fuller (SADF) test. This applies a series of right-tailed unit root tests to expanding windows of a time series (with a fixed start date), defined by where r2 is the final data point to be considered in each window, starting at r0 which is a fraction representing the smallest allowed window size and expanding to 1(the complete data set).