B1644
Title: Forecasting Ethereum STORJ token prices: Comparative analyses of applied bitcoin models
Authors: Rhonda Bush - University of Texas at Dallas (United States) [presenting]
Soohyun Choi - University of Texas at Dallas (United States)
Abstract: The research on forecasting Ethereum STORJ token has not been widely studied compared to forecasting Bitcoin. We evaluate the utility and limitations of existing Bitcoin price forecasting models applied to the Ethereum STORJ token price. We evaluate the dynamics of the model predictive utility across three time horizons ($h=5$ days, h$=20 $days and $h=50$ days), and we determine if Ethereum STORJ token clustering coefficients impacted the effectiveness of the forecasting models.
