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...

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Main Author: Rizny, Mohamed Shezan (author)
Format: doctoralThesis
Published: 2023
Subjects:
Online Access:http://hdl.handle.net/11073/25485
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author Rizny, Mohamed Shezan
author_facet Rizny, Mohamed Shezan
author_role author
dc.contributor.none.fl_str_mv Bahroun, Zied
Alshraideh, Hussam
Samet, Anis
dc.creator.none.fl_str_mv Rizny, Mohamed Shezan
dc.date.none.fl_str_mv 2023-11
2024-03-07T10:21:06Z
2024-03-07T10:21:06Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2023.73
http://hdl.handle.net/11073/25485
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Stock Market Prediction
Machine Learning
Liquidity Measures
Emerging Markets
dc.title.none.fl_str_mv Stock Return Prediction In Emerging Markets Using Machine Learning
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description 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. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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identifier_str_mv 35.232-2023.73
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/25485
publishDate 2023
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Stock Return Prediction In Emerging Markets Using Machine LearningRizny, Mohamed ShezanStock Market PredictionMachine LearningLiquidity MeasuresEmerging MarketsA 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. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringMultidisciplinary ProgramsMaster of Science in Engineering Systems Management (MSESM)Bahroun, ZiedAlshraideh, HussamSamet, Anis2024-03-07T10:21:06Z2024-03-07T10:21:06Z2023-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2023.73http://hdl.handle.net/11073/25485en_USoai:repository.aus.edu:11073/254852025-06-26T12:30:49Z
spellingShingle Stock Return Prediction In Emerging Markets Using Machine Learning
Rizny, Mohamed Shezan
Stock Market Prediction
Machine Learning
Liquidity Measures
Emerging Markets
status_str publishedVersion
title Stock Return Prediction In Emerging Markets Using Machine Learning
title_full Stock Return Prediction In Emerging Markets Using Machine Learning
title_fullStr Stock Return Prediction In Emerging Markets Using Machine Learning
title_full_unstemmed Stock Return Prediction In Emerging Markets Using Machine Learning
title_short Stock Return Prediction In Emerging Markets Using Machine Learning
title_sort Stock Return Prediction In Emerging Markets Using Machine Learning
topic Stock Market Prediction
Machine Learning
Liquidity Measures
Emerging Markets
url http://hdl.handle.net/11073/25485