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Malaysian Residential Property: A forecasting model / Nur Atiqah Khailizan, Noor Fitrah Nabilah Ismail and Nur Alia Farhana Muhammad Harith Fadzillah

Malaysia has faced a problem where Malaysian cannot afford to own a house as the prices of the house has increase along with the increasing cost of living. This study is to identify the elements that affect the housing prices in Malaysia and develop a suitable forecasting model for this issue. The l...

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Main Authors: Khailizan, Nur Atiqah, Ismail, Noor Fitrah Nabilah, Muhammad Harith Fadzillah, Nur Alia Farhana
Format: Student Project
Language:English
Published: 2019
Subjects:
Mathematical statistics. Probabilities
Data processing
Analysis
Analytical methods used in the solution of physical problems
Online Access:https://ir.uitm.edu.my/id/eprint/50008/1/50008.pdf
https://ir.uitm.edu.my/id/eprint/50008/
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spelling my.uitm.ir.500082021-09-02T04:09:38Z https://ir.uitm.edu.my/id/eprint/50008/ Malaysian Residential Property: A forecasting model / Nur Atiqah Khailizan, Noor Fitrah Nabilah Ismail and Nur Alia Farhana Muhammad Harith Fadzillah Khailizan, Nur Atiqah Ismail, Noor Fitrah Nabilah Muhammad Harith Fadzillah, Nur Alia Farhana Mathematical statistics. Probabilities Data processing Analysis Analytical methods used in the solution of physical problems Malaysia has faced a problem where Malaysian cannot afford to own a house as the prices of the house has increase along with the increasing cost of living. This study is to identify the elements that affect the housing prices in Malaysia and develop a suitable forecasting model for this issue. The last objective is to determine the best forecasting model to forecast future property prices in Malaysia. The main variables used in this study is house price and macroeconomic variables such as GDP, interest rate, CPI and geographical variable which is population. This study used a secondary data from 1990 until 2017 obtained from The Valuation and Property Service Department (2018) and The World Bank (2017). The methodology used in resolving the objective are Unit Root Test, Johansen Coi ntegration Test, Granger Causality Test and lastly Box-Jenkins Method. The results showed a relationship between house price and interest rate only based on Granger Causality Test. It can be concluded that ARIMA( 1,2, I) is the best forecasting model for future use based on analysis made using Box-Jenkins Method. 2019 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/50008/1/50008.pdf ID50008 Khailizan, Nur Atiqah and Ismail, Noor Fitrah Nabilah and Muhammad Harith Fadzillah, Nur Alia Farhana (2019) Malaysian Residential Property: A forecasting model / Nur Atiqah Khailizan, Noor Fitrah Nabilah Ismail and Nur Alia Farhana Muhammad Harith Fadzillah. [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
Khailizan, Nur Atiqah
Ismail, Noor Fitrah Nabilah
Muhammad Harith Fadzillah, Nur Alia Farhana
Malaysian Residential Property: A forecasting model / Nur Atiqah Khailizan, Noor Fitrah Nabilah Ismail and Nur Alia Farhana Muhammad Harith Fadzillah
description Malaysia has faced a problem where Malaysian cannot afford to own a house as the prices of the house has increase along with the increasing cost of living. This study is to identify the elements that affect the housing prices in Malaysia and develop a suitable forecasting model for this issue. The last objective is to determine the best forecasting model to forecast future property prices in Malaysia. The main variables used in this study is house price and macroeconomic variables such as GDP, interest rate, CPI and geographical variable which is population. This study used a secondary data from 1990 until 2017 obtained from The Valuation and Property Service Department (2018) and The World Bank (2017). The methodology used in resolving the objective are Unit Root Test, Johansen Coi ntegration Test, Granger Causality Test and lastly Box-Jenkins Method. The results showed a relationship between house price and interest rate only based on Granger Causality Test. It can be concluded that ARIMA( 1,2, I) is the best forecasting model for future use based on analysis made using Box-Jenkins Method.
format Student Project
author Khailizan, Nur Atiqah
Ismail, Noor Fitrah Nabilah
Muhammad Harith Fadzillah, Nur Alia Farhana
author_facet Khailizan, Nur Atiqah
Ismail, Noor Fitrah Nabilah
Muhammad Harith Fadzillah, Nur Alia Farhana
author_sort Khailizan, Nur Atiqah
title Malaysian Residential Property: A forecasting model / Nur Atiqah Khailizan, Noor Fitrah Nabilah Ismail and Nur Alia Farhana Muhammad Harith Fadzillah
title_short Malaysian Residential Property: A forecasting model / Nur Atiqah Khailizan, Noor Fitrah Nabilah Ismail and Nur Alia Farhana Muhammad Harith Fadzillah
title_full Malaysian Residential Property: A forecasting model / Nur Atiqah Khailizan, Noor Fitrah Nabilah Ismail and Nur Alia Farhana Muhammad Harith Fadzillah
title_fullStr Malaysian Residential Property: A forecasting model / Nur Atiqah Khailizan, Noor Fitrah Nabilah Ismail and Nur Alia Farhana Muhammad Harith Fadzillah
title_full_unstemmed Malaysian Residential Property: A forecasting model / Nur Atiqah Khailizan, Noor Fitrah Nabilah Ismail and Nur Alia Farhana Muhammad Harith Fadzillah
title_sort malaysian residential property: a forecasting model / nur atiqah khailizan, noor fitrah nabilah ismail and nur alia farhana muhammad harith fadzillah
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/50008/1/50008.pdf
https://ir.uitm.edu.my/id/eprint/50008/
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score 13.222552

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