Various factors can be used to monitor usage of a subreddit. Due to the promising trading strategy generated from the factors chosen in [7], these same factors will be examined here. Posts per day indicates the number of posts made on a particular subreddit, per day. (this factor does not include comments made in response to particular posts). Subscriber growth indicates the number of new subscribers that a subreddit receives, per day. New authors indicates the number of new authors posting on a particular subreddit, per day. This current work will aim to confirm the relationship the factors identified have with price in a model-free environment, rather than with the use of a trading strategy which can potentially introduce ambiguity relating to individual factor contributions.
More importantly, we find that the ACP and ANET factors can price cryptocurrency returns. In particular, all of our five cryptocurrencies have positive and significant exposures to the fundamental factors. The explanatory power of ACP and ANET is over and above any effects related to the Bitcoin and momentum factors. This finding is non-trivial given that the five cryptocurrencies in our sample have consistently accounted for between 80% to 95% of the total cryptocurrency market capitalisation. Furthermore, we extend our factor analysis to an out-of-sample set of 33 cryptocurrencies obtained from the Bittrex exchange. We find that the aggregate computing power and network factors also price cryptocurrencies in this large out-of-sample data set.

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