  We find that three factors: Dogecoin network externalities, momentum, and
tweet sentiment that capture the time-series expected Dogecoin returns.
Dogecoin returns are exposed to Dogecoin network factors. We construct the
network factors to capture the user adoption of Dogecoin. Moreover, there is a
strong time-series momentum effect, and proxies for investor attention strongly
forecast future Dogecoin returns. Lastly, we examine potential underlying
mechanisms of the Dogecoin price bubble.
