This paper investigates the relationship between Bitcoin returns and frequency of daily abnormal over period from June 2013 to February 2020 using a number regression techniques model specifications including standard OLS, weighted least squares (WLS), ARMA ARMAX models, quantile regressions, Logit Probit piecewise linear non-linear regressions. Both in sample out-of-sample performance various ...