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.
翻译:我们发现三个因素:Dogecoin网络的外在因素、势头和反映预期Dogecoin回报时间序列的推文情绪。 Dogecoin回报暴露在Dogecoin网络因素中。我们构建网络要素以捕捉用户采用Dogecoin。此外,时间序列动力效应很强,投资者关注的代理人强烈预测未来Dogecoin回报。最后,我们审视了Dogecoin价格泡沫的潜在基本机制。