Comparison between artificial neural network and autoregressive integrated moving average model in bitcoin price forecasting
In this era of globalization, cryptocurrency is being created as one of the modern investment instruments and an alternative payment method. Many cryptocurrency has been created since the last decade, for examples Bitcoin, Litecoin, Peercoin, Auroracoin, Dogecoin and Ripple. The investment and usage...
Main Authors: | Chan Chian Tun, Noriza Majid |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit Universiti Kebangsaan Malaysia
2018
|
Online Access: | http://journalarticle.ukm.my/12742/ http://journalarticle.ukm.my/12742/ http://journalarticle.ukm.my/12742/1/jqma-14-2-paper5.pdf |
Similar Items
-
Comparing Autoregressive Moving Average (ARMA) coefficients determination using artificial neural network with other techniques
by: Aibinu, Abiodun Musa, et al.
Published: (2008) -
MR image reconstruction with autoregressive moving average
by: Salami, Momoh Jimoh Emiyoka, et al.
Published: (2007) -
Prediction accuracy improvement for Bitcoin market prices based on symmetric volatility information using artificial neural network approach
by: Othman, Anwar Hasan Abdullah, et al.
Published: (2020) -
Integration of Seasonal Autoregressive Integrated Moving Average and Bayesian Methods to Predict Production Throughput Under Random Variables
by: Amir, Azizi
Published: (2014) -
The Use of Artificial Neural Network for Forecasting of FTSE Bursa Malaysia KLCI Stock Price Index
by: Ardiansyah, Soleh, et al.
Published: (2013)