A Hybrid Model Integrating Singular Spectrum Analysis and Backpropagation Neural Network for Stock Price Forecasting
The primary purpose of trading in stock markets is to profit from buying and selling listed stocks. However, numerous factors can influence the stock prices, such as the company's present financial situation, news, rumor, macroeconomics, psychological, economic, political, and geopolitical fact...
Saved in:
Main Authors: | Fathi, A.Y., El-Khodary, I.A., Saafan, M. |
---|---|
Format: | Article |
Published: |
International Information and Engineering Technology Association
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122723136&doi=10.18280%2fria.350606&partnerID=40&md5=bff149351800e7e03ea25cb8fe2bf06a http://eprints.utp.edu.my/29588/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating singular spectrum analysis and nonlinear autoregressive neural network for stock price forecasting
by: Fathi, A.Y., et al.
Published: (2022) -
Integrating singular spectrum analysis and nonlinear autoregressive neural network for stock price forecasting
by: Fathi, A.Y., et al.
Published: (2022) -
A hybrid singular spectrum analysis and neural networks for forecasting inflow and outflow currency of bank Indonesia
by: Suhartono, Suhartono, et al.
Published: (2019) -
Indonesian electricity load forecasting using singular spectrum analysis, fuzzy systems and neural networks
by: Sulandari, W., et al.
Published: (2020) -
Prediction of Rainfall Trends Using Forecasting Approaches
Based on Singular Spectrum Analysis
by: Kismiantini, Kismiantini, et al.
Published: (2024)