Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory
Joint Authors
Car, Zlatan
Baressi Šegota, Sandi
Štifanić, Daniel
Musulin, Jelena
Miočević, Adrijana
Šubić, Roman
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
COVID-19 is an infectious disease that mostly affects the respiratory system.
At the time of this research being performed, there were more than 1.4 million cases of COVID-19, and one of the biggest anxieties is not just our health, but our livelihoods, too.
In this research, authors investigate the impact of COVID-19 on the global economy, more specifically, the impact of COVID-19 on the financial movement of Crude Oil price and three US stock indexes: DJI, S&P 500, and NASDAQ Composite.
The proposed system for predicting commodity and stock prices integrates the stationary wavelet transform (SWT) and bidirectional long short-term memory (BDLSTM) networks.
Firstly, SWT is used to decompose the data into approximation and detail coefficients.
After decomposition, data of Crude Oil price and stock market indexes along with COVID-19 confirmed cases were used as input variables for future price movement forecasting.
As a result, the proposed system BDLSTM + WT-ADA achieved satisfactory results in terms of five-day Crude Oil price forecast.
American Psychological Association (APA)
Štifanić, Daniel& Musulin, Jelena& Miočević, Adrijana& Baressi Šegota, Sandi& Šubić, Roman& Car, Zlatan. 2020. Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1139965
Modern Language Association (MLA)
Štifanić, Daniel…[et al.]. Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1139965
American Medical Association (AMA)
Štifanić, Daniel& Musulin, Jelena& Miočević, Adrijana& Baressi Šegota, Sandi& Šubić, Roman& Car, Zlatan. Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1139965
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139965