- Corporate Finance
- Advanced Corporate Finance
- Capital Market Analysis and Investment Strategies
- Financial Econometrics and Quantitative Finance
- Cryptocurrency Markets and Digital Assets
- Machine Learning and AI Applications in Finance
- Time Series Analysis and Forecasting Techniques
- Risk Management and Financial Modeling
- Volatility Modeling and Risk Forecasting
- Financial Investments and Portfolio Management
- Statistics and Econometrics for Business and Finance
- Real Estate Finance and Investment
- Strategic Financial Decision-Making
- Decision Analysis and Business Strategy
- Data Management and Data Analytics
- Statistics and Quantitative Methods for Business
- Big Data Analytics and Applications in Finance
Ahmed S. Wafi
Ahmed S. Wafi
Senior Lecturer
- Doctoral Candidate in Financial Econometrics, Ludwig-Maximilian University of Munich
- Bachelor’s and Master’s degree in Business Administration (Finance Division), Cairo University
- Postgraduate Diplomas in Capital Market Analysis and Econometrics & Time Series Analysis, Cairo University
✉ ahmed_s.wafi@euruni.edu
LinkedIn | Munich Campus
Bio
Ahmed S. Wafi is a Doctoral Candidate in Financial Econometrics at Ludwig-Maximilian University of Munich (LMU München), Germany, with expertise in financial markets, volatility modeling, quantitative finance, and venture capital. He holds a Bachelor’s and Master’s degree in Business Administration (Finance Division) as well as two Postgraduate Diplomas in Capital Market Analysis and Econometrics & Time Series Analysis, all earned with distinction from Cairo University, Egypt.
His research focuses on advancing methods for modeling and predicting financial market behavior using cutting-edge econometric and machine learning techniques. Ahmed is currently developing several working papers, including: a comprehensive review of financial market models combining systematic, bibliometric, and content analysis; a hybrid GARCH–LSTM framework for modeling Bitcoin’s conditional volatility with special emphasis on crisis periods; a hybrid ARIMA–LSTM model integrating climate policy uncertainty to forecast S&P 500 returns; and a comparative study on cryptocurrency volatility forecasting across different market regimes.
Ahmed has published in peer-reviewed journals such as China-USA Business Review, Procedia Economics and Finance, and International Journal of Business and Management Study. His latest publication on sustainable energy investment modeling was presented at the 3rd International Conference on Resilience and Sustainability in Management at MSA University, Egypt. He has presented at prestigious events, including the 20th Doktorand:innentreffen der Stochastik (University of Mannheim, Germany), the 5th Barcelona Summer School of Stochastic Analysis & Quantitative Finance, and will present at the JAFEE-SOFINE-ISM International Symposium in Tokyo, Japan.
Since 2021, Ahmed has been an Adjunct Lecturer at EU Business School Munich, Derby Business School (UK), and Dublin Business School (Ireland), and was promoted to Adjunct Senior Lecturer in September 2024. He also works as a Business and Finance Consultant. In June 2024, he received the Prince Fellow Faculty Excellence Award for outstanding teaching.
Teaching Interests
Research Interests
• Financial Econometrics and Quantitative Finance
• Volatility Modeling and Forecasting
• Hybrid Econometric–Machine Learning Models
• Time Series Analysis and Financial Market Prediction
• Cryptocurrency Markets and Digital Asset Volatility
• Climate Policy Uncertainty and Financial Markets
• Sustainable Finance and ESG Integration
• High-Frequency Trading and Market Microstructure
• Risk Management and Financial Modeling
• Systematic Literature Reviews and Bibliometric Analysis
• Capital Market Efficiency and Behavioral Finance
• Crisis Effects on Financial Markets and Predictive Models
• Data Analytics and AI Applications in Finance
Publications
1. Robert, R. M., & Wafi, A. S. (2024). Developing a financial model for sustainable energy: A case study on solar power investments. Resilience and Sustainability in Management: A Multidisciplinary Outlook on Global Trends, 3rd International Conference Proceedings.
https://www.researchgate.net/publication/389004770
2. Wafi, A. S. (2015). Profitability of technical analysis rules in emerging and developed markets: Review. China-USA Business Review, 14(10), 495–503.
https://www.davidpublisher.com/index.php/Home/Article/index?id=22551.html
3. Wafi, A. S., Hassan, H., & Mabrouk, A. (2015). Fundamental analysis models in financial markets – Review study. Procedia Economics and Finance, 30, 939–947.
https://doi.org/10.1016/S2212-5671(15)01344-1
4. Wafi, A. S., Hassan, H., & Mabrouk, A. (2015). Fundamental analysis vs. technical analysis in the Egyptian stock exchange – Empirical study. International Journal of Business and Management Study, 2(2), 212–218.
https://theired.org/conference/paper/fundamental-analysis-vs-technical-analysis-in-the-egyptian-stock-exchange-empirical-study-2806
Working papers
1. Wafi, A. S., El-Halaby, S., & Ahmed, H. (Under review). Modeling in financial markets: A comprehensive review paper (systematic review, bibliometrics, and content analysis).
2. Wafi, A. S., El-Halaby, S., & Albitar, K. (Under review). Stochastic return prediction under climate policy uncertainty: A hybrid econometric–ML framework (ARIMA–LSTM) applied to the S&P 500. Selected for presentation at the 5th Barcelona Summer School of Stochastic Analysis & Quantitative Finance, Spain (July 2025).
3. Wafi, A. S., El-Halaby, S., & Aboul-Dahab, S. A. (In preparation). Modeling Bitcoin’s daily conditional volatility with GARCH–LSTM: Crisis effects and predictive accuracy. Presented at the 20th Doktorand:innentreffen der Stochastik, University of Mannheim, Germany (Aug 2025).
4. Wafi, A. S. (In preparation). Forecasting cryptocurrency volatility: A model and market regime comparison. Scheduled for presentation at the JAFEE-SOFINE-ISM International Symposium, Seijo University, Tokyo, Japan (Sept 2025).