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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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; Green 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; Green Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1820775473500651520 |