Modelling of Malaysia House Price Index / Nur Amaelya Mastani, Nur Ashakirin Jehani and Sharmila Saudin

In Malaysia, House Price is considered high at a certain part of the country causing the lower and middle groups unable to purchase a house. This research examines the long run relationship and causality effect between House Price Index and determinants of House Price Index. Besides, the aim of this...

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Main Authors: Mastani, Nur Amaelya, Jehani, Nur Ashakirin, Saudin, Sharmila
Format: Student Project
Language:English
Published: 2020
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/50286/1/50286.pdf
https://ir.uitm.edu.my/id/eprint/50286/
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spelling my.uitm.ir.502862021-09-10T02:23:16Z https://ir.uitm.edu.my/id/eprint/50286/ Modelling of Malaysia House Price Index / Nur Amaelya Mastani, Nur Ashakirin Jehani and Sharmila Saudin Mastani, Nur Amaelya Jehani, Nur Ashakirin Saudin, Sharmila Mathematical statistics. Probabilities Data processing Analysis Analytical methods used in the solution of physical problems In Malaysia, House Price is considered high at a certain part of the country causing the lower and middle groups unable to purchase a house. This research examines the long run relationship and causality effect between House Price Index and determinants of House Price Index. Besides, the aim of this study is to identify the suitable model of Malaysia House Price Index. The data was obtained from 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. Johansen Cointegration Test and Granger Causality Test are applied in determining the long-run relationship and causality effect respectively while the method that is applied in this research for identifying ARIMA model is Box-Jenkins Methodology. The general finding of this study is that the House Price Index shows an upward trend for the past nine years but slightly drop in the first quarter of 2019. This study has found that there is a long-run relationship between the House Price Index and the independent variables which are Gross Domestic Product, Interest Rate, Inflation Rate, Population, and Unemployment Rate. Next, all independent variables does not granger cause House Price Index. At the same time, there is only one-way relationship found between House Price Index and Gross Domestic Product, and between House Price Index and Population where House Price Index is identified to granger cause both variables. Besides, this study also has found out that ARIMA( 1,2, I) is the best model for the House Price Index. 2020 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/50286/1/50286.pdf ID50286 Mastani, Nur Amaelya and Jehani, Nur Ashakirin and Saudin, Sharmila (2020) Modelling of Malaysia House Price Index / Nur Amaelya Mastani, Nur Ashakirin Jehani and Sharmila Saudin. [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Mathematical statistics. Probabilities
Data processing
Analysis
Analytical methods used in the solution of physical problems
spellingShingle Mathematical statistics. Probabilities
Data processing
Analysis
Analytical methods used in the solution of physical problems
Mastani, Nur Amaelya
Jehani, Nur Ashakirin
Saudin, Sharmila
Modelling of Malaysia House Price Index / Nur Amaelya Mastani, Nur Ashakirin Jehani and Sharmila Saudin
description In Malaysia, House Price is considered high at a certain part of the country causing the lower and middle groups unable to purchase a house. This research examines the long run relationship and causality effect between House Price Index and determinants of House Price Index. Besides, the aim of this study is to identify the suitable model of Malaysia House Price Index. The data was obtained from 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. Johansen Cointegration Test and Granger Causality Test are applied in determining the long-run relationship and causality effect respectively while the method that is applied in this research for identifying ARIMA model is Box-Jenkins Methodology. The general finding of this study is that the House Price Index shows an upward trend for the past nine years but slightly drop in the first quarter of 2019. This study has found that there is a long-run relationship between the House Price Index and the independent variables which are Gross Domestic Product, Interest Rate, Inflation Rate, Population, and Unemployment Rate. Next, all independent variables does not granger cause House Price Index. At the same time, there is only one-way relationship found between House Price Index and Gross Domestic Product, and between House Price Index and Population where House Price Index is identified to granger cause both variables. Besides, this study also has found out that ARIMA( 1,2, I) is the best model for the House Price Index.
format Student Project
author Mastani, Nur Amaelya
Jehani, Nur Ashakirin
Saudin, Sharmila
author_facet Mastani, Nur Amaelya
Jehani, Nur Ashakirin
Saudin, Sharmila
author_sort Mastani, Nur Amaelya
title Modelling of Malaysia House Price Index / Nur Amaelya Mastani, Nur Ashakirin Jehani and Sharmila Saudin
title_short Modelling of Malaysia House Price Index / Nur Amaelya Mastani, Nur Ashakirin Jehani and Sharmila Saudin
title_full Modelling of Malaysia House Price Index / Nur Amaelya Mastani, Nur Ashakirin Jehani and Sharmila Saudin
title_fullStr Modelling of Malaysia House Price Index / Nur Amaelya Mastani, Nur Ashakirin Jehani and Sharmila Saudin
title_full_unstemmed Modelling of Malaysia House Price Index / Nur Amaelya Mastani, Nur Ashakirin Jehani and Sharmila Saudin
title_sort modelling of malaysia house price index / nur amaelya mastani, nur ashakirin jehani and sharmila saudin
publishDate 2020
url https://ir.uitm.edu.my/id/eprint/50286/1/50286.pdf
https://ir.uitm.edu.my/id/eprint/50286/
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score 13.209306