Modelling of Malaysia House Price Index

In Malaysia, house price is considered high at a certain part of the country causing the lower and middle groupsunable to purchase a house. The aim of this study is to study the trend of the House Price Index and to identify the suitable model of the Malaysia House Price Index. The data was obtained...

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Main Authors: Saudin, Sharmila, Ab Malek, Isnewati, Jehani, Nur Ashakirin, Mastani, Nur Amaelya
Format: Conference or Workshop Item
Language:English
Published: 2020
Online Access:https://ir.uitm.edu.my/id/eprint/431/
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author Saudin, Sharmila
Ab Malek, Isnewati
Jehani, Nur Ashakirin
Mastani, Nur Amaelya
author_facet Saudin, Sharmila
Ab Malek, Isnewati
Jehani, Nur Ashakirin
Mastani, Nur Amaelya
author_sort Saudin, Sharmila
building UiTM Institutional Repository
collection Online Access
description In Malaysia, house price is considered high at a certain part of the country causing the lower and middle groupsunable to purchase a house. The aim of this study is to study the trend of the House Price Index and to identify the suitable model of the Malaysia House Price Index. The data was obtained from the Valuation and Property Services department (JPPH), Department of Statistics Malaysia and Bank Negara. The data was collected over 10 years from 2010 to the first quarter of 2019. Box-Jenkins methodology is applied in determining the best Autoregressive Integrated Moving Average (ARIMA) model of the House Price Index (HPI) in Malaysia. The general finding of this study is that the HPI shows an upward trend for the past nine years but slightly drops in the first quarter of 2019. This study has found out that ARIMA (1,2,1) is the best model for the HPI since it has the smallest value of AIC, BIC and Hannan-Quinn.
first_indexed 2025-11-14T21:21:36Z
format Conference or Workshop Item
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institution Universiti Teknologi MARA
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language English
last_indexed 2025-11-14T21:21:36Z
publishDate 2020
recordtype eprints
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spelling uitm-4312020-11-21T04:50:44Z https://ir.uitm.edu.my/id/eprint/431/ Modelling of Malaysia House Price Index Saudin, Sharmila Ab Malek, Isnewati Jehani, Nur Ashakirin Mastani, Nur Amaelya In Malaysia, house price is considered high at a certain part of the country causing the lower and middle groupsunable to purchase a house. The aim of this study is to study the trend of the House Price Index and to identify the suitable model of the Malaysia House Price Index. The data was obtained from the Valuation and Property Services department (JPPH), Department of Statistics Malaysia and Bank Negara. The data was collected over 10 years from 2010 to the first quarter of 2019. Box-Jenkins methodology is applied in determining the best Autoregressive Integrated Moving Average (ARIMA) model of the House Price Index (HPI) in Malaysia. The general finding of this study is that the HPI shows an upward trend for the past nine years but slightly drops in the first quarter of 2019. This study has found out that ARIMA (1,2,1) is the best model for the HPI since it has the smallest value of AIC, BIC and Hannan-Quinn. 2020-02 Conference or Workshop Item PeerReviewed text en https://ir.uitm.edu.my/id/eprint/431/1/431.pdf Saudin, Sharmila and Ab Malek, Isnewati and Jehani, Nur Ashakirin and Mastani, Nur Amaelya (2020) Modelling of Malaysia House Price Index. (2020) In: International Jasin Multimedia & Computer Science Invention & Innovation Exhibition (3rd edition), 17-28 Feb 2020, UiTM Cawangan Melaka Kampus Jasin. https://jamcsiix.wixsite.com/home
spellingShingle Saudin, Sharmila
Ab Malek, Isnewati
Jehani, Nur Ashakirin
Mastani, Nur Amaelya
Modelling of Malaysia House Price Index
title Modelling of Malaysia House Price Index
title_full Modelling of Malaysia House Price Index
title_fullStr Modelling of Malaysia House Price Index
title_full_unstemmed Modelling of Malaysia House Price Index
title_short Modelling of Malaysia House Price Index
title_sort modelling of malaysia house price index
url https://ir.uitm.edu.my/id/eprint/431/
https://ir.uitm.edu.my/id/eprint/431/