Understanding of Singapore REITs (office, retail and diversified) using traditional analysis and machine learning
This study structures a methodology to sift out Singapore Real Estate Investment Trusts (S-REITs) with bad fundamentals and identify the good ones using Fundamental Analysis (FA). The methodology will eventually give scores to each REIT in Office, Retail and Diversified sectors and the REITs will be...
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Nanyang Technological University
2023
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sg-ntu-dr.10356-1677842023-07-07T15:43:03Z Understanding of Singapore REITs (office, retail and diversified) using traditional analysis and machine learning Luen, Zhe Yong Wong Jia Yiing, Patricia School of Electrical and Electronic Engineering EJYWong@ntu.edu.sg Business::Finance::Stock exchanges Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence This study structures a methodology to sift out Singapore Real Estate Investment Trusts (S-REITs) with bad fundamentals and identify the good ones using Fundamental Analysis (FA). The methodology will eventually give scores to each REIT in Office, Retail and Diversified sectors and the REITs will be ranked based on FA. After which, the top REIT from each sector will be pick out for Price Prediction and Price Movement Prediction using LSTM model. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-06-05T00:22:55Z 2023-06-05T00:22:55Z 2023 Final Year Project (FYP) Luen, Z. Y. (2023). Understanding of Singapore REITs (office, retail and diversified) using traditional analysis and machine learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167784 https://hdl.handle.net/10356/167784 en A1136-221 application/pdf Nanyang Technological University |
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Business::Finance::Stock exchanges Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Luen, Zhe Yong Understanding of Singapore REITs (office, retail and diversified) using traditional analysis and machine learning |
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This study structures a methodology to sift out Singapore Real Estate Investment Trusts (S-REITs) with bad fundamentals and identify the good ones using Fundamental Analysis (FA). The methodology will eventually give scores to each REIT in Office, Retail and Diversified sectors and the REITs will be ranked based on FA. After which, the top REIT from each sector will be pick out for Price Prediction and Price Movement Prediction using LSTM model. |
author2 |
Wong Jia Yiing, Patricia |
author_facet |
Wong Jia Yiing, Patricia Luen, Zhe Yong |
format |
Final Year Project |
author |
Luen, Zhe Yong |
author_sort |
Luen, Zhe Yong |
title |
Understanding of Singapore REITs (office, retail and diversified) using traditional analysis and machine learning |
title_short |
Understanding of Singapore REITs (office, retail and diversified) using traditional analysis and machine learning |
title_full |
Understanding of Singapore REITs (office, retail and diversified) using traditional analysis and machine learning |
title_fullStr |
Understanding of Singapore REITs (office, retail and diversified) using traditional analysis and machine learning |
title_full_unstemmed |
Understanding of Singapore REITs (office, retail and diversified) using traditional analysis and machine learning |
title_sort |
understanding of singapore reits (office, retail and diversified) using traditional analysis and machine learning |
publisher |
Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/167784 |
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1772827791573647360 |