An enhanced house price index model in Malaysia: Maqasid Shariah perspectives

The house price index (HPI) has become an important tool for measuring housing market performance in Malaysia. Having reviewed the current model of the Malaysian House Price Index (MHPI), it was discovered that HPI is constructed based on demand-driven variables. Previous studies alluded that both m...

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Main Author: Nik Nor Amalina, Nik Mohd Sukrri
Format: Thesis
Language:English
English
Published: 2023
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Online Access:https://etd.uum.edu.my/11196/1/s99241_01.pdf
https://etd.uum.edu.my/11196/2/s99241_02.pdf
https://etd.uum.edu.my/11196/
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Institution: Universiti Utara Malaysia
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spelling my.uum.etd.111962024-06-23T03:17:34Z https://etd.uum.edu.my/11196/ An enhanced house price index model in Malaysia: Maqasid Shariah perspectives Nik Nor Amalina, Nik Mohd Sukrri BP174 The practice of Islam HB Economic Theory The house price index (HPI) has become an important tool for measuring housing market performance in Malaysia. Having reviewed the current model of the Malaysian House Price Index (MHPI), it was discovered that HPI is constructed based on demand-driven variables. Previous studies alluded that both macroeconomic and supply factors should be incorporated into the HPI construction to obtain a better reflective indicator. Therefore, this study aims to construct an enhanced HPI model in Malaysia. The time series analysis technique known as the autoregressive distributed lag model (ARDL) was adopted to analyse the short and long-run dynamics between the variables. The existing determinants of HPI were first examined. The data employed in this study was quarterly data from the first quarter of 2008 to the fourth quarter of 2018. The findings revealed that the construction cost and home financing are significant in determining HPI, while the overnight policy rate and land supply are insignificant. Hence, a new enhanced HPI incorporating new demand and supply variables was developed using the Laspeyres approach. The analysis shows that the enhanced HPI has also recorded the same trend but with a lower price value than the current MHPI. This enhanced HPI model is able to contribute a better indication of the real housing market situation in Malaysia, which is more reflective of the macroeconomic fundamentals and housing market variables. The implementation of price benchmarks is another contribution as it is consistent with the goals of Shariah to create justice and fairness in financial transactions and serves as a mechanism to prevent people from facing distress and hardship. This study has an important policy implication for the involved parties to have some policy ramifications to further monitor and take appropriate measures in controlling property prices. 2023 Thesis NonPeerReviewed text en https://etd.uum.edu.my/11196/1/s99241_01.pdf text en https://etd.uum.edu.my/11196/2/s99241_02.pdf Nik Nor Amalina, Nik Mohd Sukrri (2023) An enhanced house price index model in Malaysia: Maqasid Shariah perspectives. Doctoral thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic BP174 The practice of Islam
HB Economic Theory
spellingShingle BP174 The practice of Islam
HB Economic Theory
Nik Nor Amalina, Nik Mohd Sukrri
An enhanced house price index model in Malaysia: Maqasid Shariah perspectives
description The house price index (HPI) has become an important tool for measuring housing market performance in Malaysia. Having reviewed the current model of the Malaysian House Price Index (MHPI), it was discovered that HPI is constructed based on demand-driven variables. Previous studies alluded that both macroeconomic and supply factors should be incorporated into the HPI construction to obtain a better reflective indicator. Therefore, this study aims to construct an enhanced HPI model in Malaysia. The time series analysis technique known as the autoregressive distributed lag model (ARDL) was adopted to analyse the short and long-run dynamics between the variables. The existing determinants of HPI were first examined. The data employed in this study was quarterly data from the first quarter of 2008 to the fourth quarter of 2018. The findings revealed that the construction cost and home financing are significant in determining HPI, while the overnight policy rate and land supply are insignificant. Hence, a new enhanced HPI incorporating new demand and supply variables was developed using the Laspeyres approach. The analysis shows that the enhanced HPI has also recorded the same trend but with a lower price value than the current MHPI. This enhanced HPI model is able to contribute a better indication of the real housing market situation in Malaysia, which is more reflective of the macroeconomic fundamentals and housing market variables. The implementation of price benchmarks is another contribution as it is consistent with the goals of Shariah to create justice and fairness in financial transactions and serves as a mechanism to prevent people from facing distress and hardship. This study has an important policy implication for the involved parties to have some policy ramifications to further monitor and take appropriate measures in controlling property prices.
format Thesis
author Nik Nor Amalina, Nik Mohd Sukrri
author_facet Nik Nor Amalina, Nik Mohd Sukrri
author_sort Nik Nor Amalina, Nik Mohd Sukrri
title An enhanced house price index model in Malaysia: Maqasid Shariah perspectives
title_short An enhanced house price index model in Malaysia: Maqasid Shariah perspectives
title_full An enhanced house price index model in Malaysia: Maqasid Shariah perspectives
title_fullStr An enhanced house price index model in Malaysia: Maqasid Shariah perspectives
title_full_unstemmed An enhanced house price index model in Malaysia: Maqasid Shariah perspectives
title_sort enhanced house price index model in malaysia: maqasid shariah perspectives
publishDate 2023
url https://etd.uum.edu.my/11196/1/s99241_01.pdf
https://etd.uum.edu.my/11196/2/s99241_02.pdf
https://etd.uum.edu.my/11196/
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