SG property analysis of non-landed private residential property

Singapore's residential property market has been rapidly expanding throughout the years. Property values have risen dramatically in the private sector, in particular. The URA Property Price Index is a measure of the overall price trends in Singapore's private housing sector. It has been im...

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Main Author: Wu, Jia Bin
Other Authors: Wong Jia Yiing, Patricia
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157243
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1572432023-07-07T19:34:22Z SG property analysis of non-landed private residential property Wu, Jia Bin Wong Jia Yiing, Patricia School of Electrical and Electronic Engineering EJYWong@ntu.edu.sg Engineering::Computer science and engineering::Mathematics of computing::Numerical analysis Science::Mathematics::Applied mathematics::Numerical analysis Singapore's residential property market has been rapidly expanding throughout the years. Property values have risen dramatically in the private sector, in particular. The URA Property Price Index is a measure of the overall price trends in Singapore's private housing sector. It has been improved with a new “stratified hedonic regression methodology” because of greater diversity in unit size and age. It also has a more thorough coverage of transactions thanks to the addition of IRAS stamp duty data to current data sources. This report aims to improve current URA Property Price Index again with including the distance to the nearest MRT/LRT stations and proximity to top primary schools these two additional factors that influence the resale values of non-landed private residential units in Singapore. The computed improved Property Price Index will include overall property price index of non-landed residential properties as well as property price index in each region (Core Central Region, Rest of Central Region and Outside Central Region). This will provide investors a better idea of the areas they might want to invest in. This new improved property price index also showed how other unpredictable factors such as, government cooling measure, Financial Crisis, coronavirus pandemic and so on impacted it. As a result, as an investor, investing in the Rest of Central Region would be profitable because it would generate the most profit. It would not recommend investing in the Core Central Region as the rate of growth in Core Central Region is quite stable and its high capital. Last but not least, to mitigate the risks, one would need to keep up with global news and happenings. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-11T06:12:30Z 2022-05-11T06:12:30Z 2022 Final Year Project (FYP) Wu, J. B. (2022). SG property analysis of non-landed private residential property. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157243 https://hdl.handle.net/10356/157243 en P1027-202 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Mathematics of computing::Numerical analysis
Science::Mathematics::Applied mathematics::Numerical analysis
spellingShingle Engineering::Computer science and engineering::Mathematics of computing::Numerical analysis
Science::Mathematics::Applied mathematics::Numerical analysis
Wu, Jia Bin
SG property analysis of non-landed private residential property
description Singapore's residential property market has been rapidly expanding throughout the years. Property values have risen dramatically in the private sector, in particular. The URA Property Price Index is a measure of the overall price trends in Singapore's private housing sector. It has been improved with a new “stratified hedonic regression methodology” because of greater diversity in unit size and age. It also has a more thorough coverage of transactions thanks to the addition of IRAS stamp duty data to current data sources. This report aims to improve current URA Property Price Index again with including the distance to the nearest MRT/LRT stations and proximity to top primary schools these two additional factors that influence the resale values of non-landed private residential units in Singapore. The computed improved Property Price Index will include overall property price index of non-landed residential properties as well as property price index in each region (Core Central Region, Rest of Central Region and Outside Central Region). This will provide investors a better idea of the areas they might want to invest in. This new improved property price index also showed how other unpredictable factors such as, government cooling measure, Financial Crisis, coronavirus pandemic and so on impacted it. As a result, as an investor, investing in the Rest of Central Region would be profitable because it would generate the most profit. It would not recommend investing in the Core Central Region as the rate of growth in Core Central Region is quite stable and its high capital. Last but not least, to mitigate the risks, one would need to keep up with global news and happenings.
author2 Wong Jia Yiing, Patricia
author_facet Wong Jia Yiing, Patricia
Wu, Jia Bin
format Final Year Project
author Wu, Jia Bin
author_sort Wu, Jia Bin
title SG property analysis of non-landed private residential property
title_short SG property analysis of non-landed private residential property
title_full SG property analysis of non-landed private residential property
title_fullStr SG property analysis of non-landed private residential property
title_full_unstemmed SG property analysis of non-landed private residential property
title_sort sg property analysis of non-landed private residential property
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157243
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