Stock Return Prediction In Emerging Markets Using Machine Learning
A Master of Science thesis in Engineering Systems Management by Mohamed Shezan Rizny entitled, “Stock Return Prediction in Emerging Markets Using Machine Learning”, submitted in November 2023. Thesis advisor is Dr. Zied Bahroun and thesis co-advisors are Dr. Hussam Alshraideh and Dr. Anis Samet. Sof...
Saved in:
| Main Author: | Rizny, Mohamed Shezan (author) |
|---|---|
| Format: | doctoralThesis |
| Published: |
2023
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/11073/25485 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting Emerging Stock Market Crashes via Machine Learning
by: Khan, Mohammad Osama
Published: (2023) -
Outperforming Emerging Market Securities Using Simple Technical Strategy (United Arab Emirates, Brazil, and Indonesian Stock Markets)
by: Al-Ghafli, Mohammed Hussain Bin Mutlaq
Published: (2011) -
An Empirical Analysis of the Turn-of-the-month and January Anomalies in Five Emerging Stock Markets
by: Khouri, Yousuf
Published: (2013) -
Profitability of Momentum and Overreaction Trading Strategies in Switzerland Stock Market
by: Naghavi, Mani
Published: (2012) -
Forecasting the Direction of GCC Stock Indexes Using Support Vector Machine (SVM) Algorithm
by: Zeino, Yaser Abdullah
Published: (2014)