Estimating and forecasting bitcoin daily prices using ARIMA-GARCH models
Purpose – The goal of the study is to offer important insights into the dynamics of the cryptocurrency market by analyzing pricing data for Bitcoin. Using quantitative analytic methods, the study makes use of a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model and an Autoregres...
Saved in:
| Main Authors: | Quang Phung Duy, Oanh Nguyen Thi, Phuong Hao Le Thi, Hai Duong Pham Hoang, Khanh Linh Luong, Kim Ngan Nguyen Thi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing
2024-10-01
|
| Series: | Business Analyst |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/BAJ-05-2024-0027/full/pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of Bitcoin Volatility during the COVID-19 Pandemic: An Examination Using ARCH and GARCH Models
by: Vildan Bayram, et al.
Published: (2024-12-01) -
Predicting volatility of bitcoin returns with ARCH, GARCH and EGARCH models
by: Hakan Yıldırım, et al.
Published: (2023-09-01) -
Predicting bitcoin cryptocurrency price behavior based on ARIMA and NNAR modelling
by: Patricia Virginia de Santana Lima, et al.
Published: (2024-12-01) -
Optimization Modeling of Investment Portfolios Using The Mean-VaR Method with Target Return and ARIMA-GARCH
by: Arla Aglia Yasmin, et al.
Published: (2025-03-01) -
Public Investments and Forecasting in Renewable Energy Technologies: A Comparative Analysis Using ARIMA and GARCH Models
by: Bhanu Sharma, et al.
Published: (2025-01-01)