Fourth Edition of the International Conference on Research in Applied Mathematics and Computer Science ICRAMCS 2022
 March 24-25-26, 2022
Online and Face-to-Face Conference

ICRAMCS, 4 (2022) | Proceedings ISSN: 2605-7700

Research Communication | Open Access
Volume 2022 | Communication ID 104
Predicting stock prices: a comparison between machine learning and deep learning methods
Khalid Bentaleb, Mohamed Ben Houad, Mohammed Mestari
Academic Editor: Youssef EL FOUTAYENI
Received
Accepted
Published
January 11, 2022
March 03, 2099
April 15, 2099

Abstract: Financial institutions (e.g. banks, insurance companies, and asset management companies), as well as individual investors, face uncertainties in investment portfolios. These uncertainties that result from fluctuations in asset prices, impact the risk level of their financial portfolios and affect the decision-making process. However, forecasting stock market trends are one of the most challenging problems for investors and researchers [1]. This is due to the nature of inventory data that is dynamic, nonlinear, nonstationary, non-parametric, and volatile [2]. Prediction of realized volatility ...