Comparative Performance of LSTM and ARIMA for the Short-Term Prediction of Bitcoin Prices
This research assesses the prediction of Bitcoin prices using the autoregressive integrated moving average (ARIMA) and long-short-term memory (LSTM) models. We forecast the price of Bitcoin for the following day using the static forecast method, with and without reestimating the forecast model at...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Wollongong
2023-02-01
|
Series: | Australasian Accounting, Business and Finance Journal |
Subjects: | |
Online Access: | https://ro.uow.edu.au/aabfj/vol17/iss1/16/ |