16 Jan 2026Open access
Predicting Financial Contagion: A Deep Learning-Enhanced Actuarial Model for Systemic Risk AssessmentPublisher siteJournal of risk and financial management, Financial Distress and Bankruptcy Prediction
UniversitiesMoulay El Mehdi Falloul
Active, last published 2026
In stock market forecasting methods
Moulay El Mehdi
Falloul
Scholar“Research focused on Stock Market Forecasting Methods and adjacent fields.”
Université Sultan Moulay Slimane
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01 · About the work
What I study
oulay El Mehdi Falloul 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
Moulay's work has been cited 9 times across 4 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Stock Market Forecasting Methods×6Financial Risk and Volatility Modeling×5Market Dynamics and Volatility×5Monetary Policy and Economic Impact×2Financial Markets and Investment Strategies×2
04 · Where I am
Affiliations
Affiliation on published researchUniversité Sultan Moulay SlimaneDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
6 works1 Jan 2025
Forecasting Volatility with Machine Learning: Case Study of the Dow Jones Industrial Average IndexPublisher siteLecture notes in networks and systems, Market Dynamics and Volatility
1 Jan 20241cites
Machine Learning in Finance Case of Credit ScoringPublisher siteLecture notes in networks and systems, Financial Distress and Bankruptcy Prediction
1 Jan 2024
Evaluating the Capital Asset Pricing Model for the Moroccan Stock ExchangePublisher siteStudies in systems, decision and control, Financial Markets and Investment Strategies
8 Nov 2023Open access1cites
Performance evaluation of technical indicators for forecasting the moroccan stock index using deep learningPublisher siteIndonesian Journal of Electrical Engineering and Computer Science, Stock Market Forecasting Methods
1 Jan 20232cites
Forecasting Performance of GARCH, EGARCH and SETAR Non-linear Models: An Application on the MASI Index of the Casablanca Stock ExchangePublisher siteCommunications in computer and information science, Financial Risk and Volatility Modeling
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