The Relationship between Housing Finance and Macroeconomics Variables in Malaysia

Housing finance is one of the factors that contribute in the overall economy growth of the country. The purpose of this paper is to analyse the relationship of housing finance variable and the macroeconomic variables in Malaysia. By adopting time series technique of Vector Auto regression (VAR) and...

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Published in:MATEC Web of Conferences
Main Author: Shukor N.B.B.M.; Said R.B.; Majid R.B.A.
Format: Conference paper
Language:English
Published: EDP Sciences 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983535016&doi=10.1051%2fmatecconf%2f20166600100&partnerID=40&md5=523e97d83abe6d54af87892c3bd50af7
id 2-s2.0-84983535016
spelling 2-s2.0-84983535016
Shukor N.B.B.M.; Said R.B.; Majid R.B.A.
The Relationship between Housing Finance and Macroeconomics Variables in Malaysia
2016
MATEC Web of Conferences
66

10.1051/matecconf/20166600100
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983535016&doi=10.1051%2fmatecconf%2f20166600100&partnerID=40&md5=523e97d83abe6d54af87892c3bd50af7
Housing finance is one of the factors that contribute in the overall economy growth of the country. The purpose of this paper is to analyse the relationship of housing finance variable and the macroeconomic variables in Malaysia. By adopting time series technique of Vector Auto regression (VAR) and Impulse Response to determine the dynamic relationship between the macroeconomic and housing finance variable. The cointegration result shows that there exists a long run relationship between the macroeconomic variable and housing finance variable. The finding from impulse response function indicates that Gross Domestic Product (GDP) response positively to the Primary Mortgage Market (PMM), which shows that during the good economy there are more housing loan extends by the banking institution. Meanwhile, interest rate response negatively to Secondary Mortgage Market (SMM), which implies that during the financial crisis, more housing loan sold to the Secondary Mortgage Market as one of the measure by the government to increase liquidity in banking institutions. As a conclusion, there is presence of relationship between the variable which change in one variable will affect the other variable in the long run. © 2016 The Authors.
EDP Sciences
2261236X
English
Conference paper
All Open Access; Gold Open Access
author Shukor N.B.B.M.; Said R.B.; Majid R.B.A.
spellingShingle Shukor N.B.B.M.; Said R.B.; Majid R.B.A.
The Relationship between Housing Finance and Macroeconomics Variables in Malaysia
author_facet Shukor N.B.B.M.; Said R.B.; Majid R.B.A.
author_sort Shukor N.B.B.M.; Said R.B.; Majid R.B.A.
title The Relationship between Housing Finance and Macroeconomics Variables in Malaysia
title_short The Relationship between Housing Finance and Macroeconomics Variables in Malaysia
title_full The Relationship between Housing Finance and Macroeconomics Variables in Malaysia
title_fullStr The Relationship between Housing Finance and Macroeconomics Variables in Malaysia
title_full_unstemmed The Relationship between Housing Finance and Macroeconomics Variables in Malaysia
title_sort The Relationship between Housing Finance and Macroeconomics Variables in Malaysia
publishDate 2016
container_title MATEC Web of Conferences
container_volume 66
container_issue
doi_str_mv 10.1051/matecconf/20166600100
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983535016&doi=10.1051%2fmatecconf%2f20166600100&partnerID=40&md5=523e97d83abe6d54af87892c3bd50af7
description Housing finance is one of the factors that contribute in the overall economy growth of the country. The purpose of this paper is to analyse the relationship of housing finance variable and the macroeconomic variables in Malaysia. By adopting time series technique of Vector Auto regression (VAR) and Impulse Response to determine the dynamic relationship between the macroeconomic and housing finance variable. The cointegration result shows that there exists a long run relationship between the macroeconomic variable and housing finance variable. The finding from impulse response function indicates that Gross Domestic Product (GDP) response positively to the Primary Mortgage Market (PMM), which shows that during the good economy there are more housing loan extends by the banking institution. Meanwhile, interest rate response negatively to Secondary Mortgage Market (SMM), which implies that during the financial crisis, more housing loan sold to the Secondary Mortgage Market as one of the measure by the government to increase liquidity in banking institutions. As a conclusion, there is presence of relationship between the variable which change in one variable will affect the other variable in the long run. © 2016 The Authors.
publisher EDP Sciences
issn 2261236X
language English
format Conference paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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