
Predicting Bitcoin Prices via Machine Learning and Time Series Models
Publication year - 2022
Language(s) - English
DOI - 10.47260/jafb/1252
Subject(s) - autoregressive integrated moving average , autoregressive conditional heteroskedasticity , autoregressive model , econometrics , heteroscedasticity , principal component analysis , time series , artificial neural network , moving average model , setar , moving average , computer science , star model , statistics , economics , mathematics , artificial intelligence , machine learning , volatility (finance)