Have a personal or library account? Click to login
Designing an LSTM-Based Model for Financial Asset Forecasting Using Machine Learning Cover

Designing an LSTM-Based Model for Financial Asset Forecasting Using Machine Learning

Central European Economic Journal
Volume 13 (2026): Issue 60 (January 2026)
By: Najlae Yachou,  Omar Abahman and  Khalid Hakimi  
Open Access
|Feb 2026

Authors

Najlae Yachou

yachou.najlae@isiam.ma

International University of Agadir, ISIAM Business School, Agadir, Morocco

Omar Abahman

International University of Agadir, ISIAM Business School, Agadir, Morocco

Khalid Hakimi

International University of Agadir, ISIAM Business School, Agadir, Morocco
DOI: https://doi.org/10.2478/ceej-2026-0001 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
Journal RSS Feed
Language: English
Page range: 1 - 23
Submitted on: Jun 17, 2025
|
Accepted on: Nov 20, 2025
|
Published on: Feb 2, 2026
Published by: Faculty of Economic Sciences, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
financial forecasting,
LSTM,
financial markets,
Apple stock,
prediction accuracy
Related subjects:
Business and economics,
Political economics,
Economic theory, systems and structures,
Microeconomics,
Macroeconomics,
Economic policy

© 2026 Najlae Yachou, Omar Abahman, Khalid Hakimi, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 13 (2026): Issue 60 (January 2026)