Integrating singular spectrum analysis and nonlinear autoregressive neural network for stock price forecasting
The main objective of stock market investors is to maximize their gains. As a result, stock price forecasting has not lost interest in recent decades. Nevertheless, stock prices are influenced by news, rumor, and various economic factors. Moreover, the characteristics of specific stock markets can d...
Saved in:
| Main Authors: | Fathi, A.Y., El-Khodary, I.A., Saafan, M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33323 / |
| Published: |
Institute of Advanced Engineering and Science
2022
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132360139&doi=10.11591%2fijai.v11.i3.pp851-858&partnerID=40&md5=cc010ef04158e6f96b4a3948924e23e6 http://eprints.utp.edu.my/33323/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Hybrid Model Integrating Singular Spectrum Analysis and Backpropagation Neural Network for Stock Price Forecasting
by: Fathi, A.Y., et al.
Published: (2021) -
Stikky Stock Charts
Published: (2003) -
Divining the dow /
by: MATURI, Richard, J -
Divining the dow : 100 of the world's most widely followed stock market prediction systems /
by: MATURI, Richard J.
Published: (1993) -
Stock market integration and the pricing for regionalism /
by: Hooy, Chee Wooi
Published: (2010)