20232cites
Forecasting Performance of GARCH, EGARCH and SETAR Non-linear Models: An Application on the MASI Index of the Casablanca Stock ExchangeCommunications in computer and information science, Financial Risk and Volatility Modeling
UniversitiesYouness Saoudi
Active, last published 2026
In stock market forecasting methods
Youness
Saoudi
“Research focused on Stock Market Forecasting Methods and adjacent fields.”
Université Ibn-Tofail
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Claim Your Profile01 · About the work
What I study
ouness Saoudi is a researcher working on Stock Market Forecasting Methods. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Youness's work has been cited 8 times across 4 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
05 · Research focus
Topics
Stock Market Forecasting Methods×6Financial Risk and Volatility Modeling×4Market Dynamics and Volatility×4Financial Markets and Investment Strategies×2Stochastic processes and financial applications×2
06 · Where I am
Affiliations
CurrentlyUniversité Ibn-Tofail
Research themes (UN SDGs)
07 · Selected work
Recent publications
View all 12 works20232cites
Simulation of a Second-Order Fractional Differential Equation: The Black-Scholes Equation for Call and Put Options as a Model20231cites
A Comparative Study of Masi Stock Exchange Index Prediction Using Nonlinear Setar, MS-AR and Artificial Neurones Network ModelsAdvances in intelligent systems and computing, Stock Market Forecasting Methods
20241cites
Machine Learning in Finance Case of Credit ScoringLecture notes in networks and systems, Financial Distress and Bankruptcy Prediction
20241cites
Pricing Basket Option in Using the Two-Dimensional Black Scholes Equation and the Monte Carlo ApproachAre you Youness?
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