scholarly journals Determinant of Residential Property Price Index in Five Asian Emerging Market Countries: A Demand and Supply Approach

2021 ◽  
Vol 7 (08) ◽  
Author(s):  
Silma Fikria Balqis ◽  
Rudi Purwono
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Real Interest Rate ◽  
Price Index ◽  
Emerging Market ◽  
Residential Property ◽  
Demand And Supply ◽  
Independent Variables ◽  
Emerging Market Countries ◽  
Property Price

This study aims to analyze the factors influencing the Residential Property Price Index (RPPI) from the demand and supply sides in five Asian emerging market countries. The data used are semi-annual data from the first semester of 2009 until the second semester of 2019 because this study aims to denote the impact of RPPI toward the demand and supply indicators after the global crisis in 2008. The dependent variable of this study is the RPPI, while the independent variables include the number of workers, real interest rate, economic growth, and the Real Effective Exchange Rate (REER). The Fixed Effects Model (FEM) is thus the applied method to process the data. In the end, the results indicate that all independent variables are significant toward the RPPI. The number of workers, real interest rate, and REER negatively affect the RPPI, while economic growth positively affects the RPPI.

scholarly journals THE INFLUENCE OF GDP, INTEREST RATE, WAGE, INFLATION AND EXCHANGE RATE ON RESIDENTIAL PROPERTY PRICE IN INDONESIA

2019 ◽  
Vol 17 (9) ◽  
Author(s):  
Badrud Duja ◽  
Heri Supriyanto
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Interest Rate ◽  
Interest Rates ◽  
Residential Property ◽  
Property Prices ◽  
The Us ◽  
Property Price ◽  
Us Dollar ◽  
The Government

Over the past years, Indonesia’s economic growth has been recorded among the top developing countries. The economic growth is believed to contribute to the increase on residential property prices. The main objective of this study is to analyse the influence of determinants of residential property prices in Indonesia by examining the dynamic relationships of residential property prices reflected through the Residential Property Price Index (RPPI) with Gross Domestic Product (GDP), investment interest rates, wages, inflation and the exchange rate against the US dollar using secondary data over a period of thirteen-years between 2002Q1 and 2014Q4. By applying the Engle-Granger co-integration testand the error correction model, this research aims to see the relationship between the variables both in the short- and long-term. The results of the study indicated that macroeconomic factors that were significantly related to Indonesian residential property prices were GDP, wages, inflation, and exchange rates against the US dollar, while the investment interest rate was not included in these factors. Furthermore, based on the results of the regression analysis on research data, government policy in setting minimum wage standards has the greatest impact on residential property prices in the property sector in Indonesia. Thus, the results of this research are expected to provide the government with better viewpoints that will assist them in enacting better policies in the residential property sector.

scholarly journals Are House Prices Driven by Capital Flows? Evidence from Singapore

2016 ◽  
Vol 07 (01) ◽  
pp. 1650006 ◽  
Author(s):  
Hwee Kwan Chow ◽  
Taojun Xie
Keyword(s):  
Capital Flows ◽  
Price Index ◽  
House Prices ◽  
House Price ◽  
Capital Inflows ◽  
Residential Property ◽  
Foreign Direct Investments ◽  
Short Term ◽  
Property Price ◽  
The Impact

This paper investigates whether real house price appreciations can be attributed to the surge in real capital inflows into Singapore. We proxy capital flows by using the amount of Foreign Direct Investments (FDI) to real estate capturing the foreign purchases of property in Singapore which we deflate by the private residential property price index. Notwithstanding the absence of a cointegrating relationship, our results support the hypothesis that lagged short term fluctuations in capital inflows are positively associated with the growth rates of house prices over the last decade. We also provide evidence that macroprudential measures implemented by Singapore reduced the impact of capital inflows on house price appreciation by more than half, suggesting the effectiveness of such market cooling measures in weakening the credit growth channel.

scholarly journals Government borrowing as a Ponzi scheme: the case of Bangladesh

2021 ◽  
Vol 10 (1) ◽  
pp. 81-86
Author(s):  
Syed Yusuf Saadat
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Interest Rate ◽  
Real Interest Rate ◽  
Government Debt ◽  
Economic Growth Rate ◽  
The Real ◽  
Ponzi Scheme ◽  
The Government

This study investigates whether government borrowing can be likened to a Ponzi scheme which will allow the government to roll-over its debt perpetually. The results show that, on the basis of the condition of maintaining real economic growth rate above and beyond the real interest rate on government debt, it will not be possible to sustain a perpetual Ponzi scheme of all four types of National Savings Certificates in Bangladesh. The government’s debt may be rolled over perpetually for two types of National Savings Certificates, following the condition outlined in Ball, et al. (1998), or for three types of National Savings Certificates following the condition outlined in Mehrotra (2017). 

scholarly journals ANALISIS PENGARUH PERTUMBUHAN EKONOMI, INFLASI, SUKU BUNGA DAN HARGA MINYAK DUNIA TERHADAP INDEKS HARGA SAHAM GABUNGAN DI INDONESIA PERIODE TAHUN 2001-2017

2020 ◽  
pp. 10-21
Author(s):  
A. Mahendra
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Interest Rate ◽  
Multiple Regression Analysis ◽  
Stock Price ◽  
Price Index ◽  
Secondary Data ◽  
Oil Prices ◽  
Sampling Technique ◽  
Stock Price Index

This research is intended to know the influence of economic growth, inflation, interest rate and world oil prices variables to join stock price variable in Indonesia. Population in this research is Indonesia and 68 of them were selected to be the samples for this research through purposive sampling technique. Estimates conducted by the multiple regression analysis. The data that were used in this study were secondary data, consisted of Economic Growth, Inflation, Interest Rate and World Oil Prices to joint stock price index for the year 2001-2017. The results of this research, that Based on the partial test (t test), the Inflation variable has no significant effect while the Economic Growth, Interest Rateand World Oil Prices variables have a significant effect on the variables of the Joint Stock Price Index in Indonesia. But the simultan test (F test), economic growth, inflation, interest rate and world oil prices have a significant effect on the variables of the joint stock price index.

scholarly journals Factors Inducing the Investment and Saving Behaviour in Pakistan

2019 ◽  
Vol 1 (2) ◽  
pp. 82-88
Author(s):  
Muhammad Farhan Ashraf ◽  
Muhammad Mehran Latif ◽  
Hina Kanwal
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
World Bank ◽  
Growth And Development ◽  
Participation Rate ◽  
Study Data ◽  
Economic Growth And Development ◽  
Independent Variables ◽  
National Investment ◽  
The Relationship

This study endeavour’s to identify in detail the behaviour of investment and saving in Pakistan's economy. Both investment and saving have a dynamic role in economic growth and development. Gross domestic product, remittances, income, dependency rate, taxes, labor participation rate, national saving, and national investment are included as independent variables for this study; data were obtained from the Pakistan Bureau of Statistics and World Bank for the years (1980-2016). The results show that the relationship between Investment and Interest rate is negative, while the relationship between saving and interest rate is positive. There is a dire need to review the monetary policy issued by the State Bank of Pakistan.

scholarly journals A COMPARATIVE STUDY ON THE INVESTMENT VALUE OF RESIDENTIAL PROPERTY AND STOCKS

2004 ◽  
Vol 8 (2) ◽  
pp. 63-72 ◽  
Author(s):  
Bing Sun ◽  
Hongyu Liu ◽  
Siqi Zheng
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Consumer Price Index ◽  
Residential Property ◽  
Investment Value ◽  
Stock Investment ◽  
Property Price ◽  
Weak Negative Correlation

As real estate, residential property comprises not only the value of utilization, but also the value of investment, which is somewhat different from that of securities such as stocks and bonds. In this paper, the investment value of newly‐built residences and stocks are compared and analyzed theoretically and empirically. Firstly, the paper summarizes the diversity of costs, risks, and benefits of these two investments. Secondly, by quoting the quarterly price/rent indices on the housing market and that at the stock exchange in Shanghai, the paper explores the variances of these two investments with respect to their risk‐return characteristics from 1993 to 2003. Thirdly, the paper discusses the correlations between residential property price/rent index, property/general stock price index, and Consumer Price Index (CPI). Finally, by utilizing the Capital Asset Pricing Model (CAPM), the systematic and the unsystematic risks of these investments are segregated and compared with each other, based on a series of assumptions. The result suggests, on a quarterly basis, that residential property investment produces a higher risk‐adjusted return than that of general stock and property stock investment. Because of a weak/negative correlation between residential property and stock returns, residential property is an ideal candidate to be included into the stock investment portfolio. Moreover, residential property and property stock can be used as effective hedges against inflation.

scholarly journals Analisis Perubahan Nilai Tukar Rupiah Akibat Peningkatan Inflasi, Tingkat Suku Bunga SBI dan Pertumbuhan Ekonomi (Studi Pada Bank Indonesia Periode 2008 – 2017)

2021 ◽  
Vol 23 (1) ◽  
pp. 20
Author(s):  
Mirna Herawati
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Interest Rate ◽  
Regression Model ◽  
Interest Rates ◽  
Direct Relationship ◽  
Inflation Rate ◽  
Rate Coefficient ◽  
Independent Variables ◽  
The Interest Rate

The purpose of this study was to determine the simultaneous effect of the inflation rate, interest rates and economic growth on the rupia exchange rate. This study also examines the partial effect of the inflation rate on the rupia exchange rate, finds the effect of interest rates on the rupia exchange rate, and economic growth on the rupia exchange rate. The research method used in this study is a quantitative method. The data source used is secondary data in the form of a Time Series. Time-series data is data that is collected over a specified period / period of time. The data collection technique used in this research is the documentary method taken from the Central Bureau of Statistic's data. From the calculation of the F value it is known that 0.00467 < 0.050, so there is a simultaneous influence of the inflation rate, interest rate and economic growth variables on the Rupiah exchange rate. The regression equation is Y = . The inflation rate coefficient for variable X1 is 0.009 and positive. This shows that the inflation rate has a direct relationship with the Rupiah exchange rate. This means that every time one unit of inflation increases, the beta variable (Y) of the rupia exchange rate will also increase by 0.009 with the assumption that other independent variables from the regression model have been corrected. The value of the interest rate coefficient for variable X2 is -0.02 and is negative. This indicates that the interest rate has a direct relationship with the Rupiah exchange rate. This means that each time the interest rate increases by one unit, the beta (Y) variable of the rupia exchange rate will decrease by 0.02 assuming that the other independent variables of the regression model have been corrected. If the value of economic growth (X3) increases one point, then the Y value will decrease by 0.06, assuming that the other independent variables of the regression model are fixed.Keywords: Inflation rate, interest rate, economic growth, rupia exchange rate

scholarly journals Why House Prices Increase in the COVID-19 Recession: A Five-Country Empirical Study on the Real Interest Rate Hypothesis

Urban Science ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 77
Author(s):  
Chung Yim Yiu
Keyword(s):  
Economic Growth ◽  
New Zealand ◽  
Interest Rate ◽  
Fixed Effects ◽  
Real Interest Rate ◽  
House Prices ◽  
House Price ◽  
The United States ◽  
Housing Affordability ◽  
The Real

There are substantial rebounds in house prices in many developed economies after the outbreak of COVID-19. It provides a special opportunity to test the real interest rate hypothesis empirically as a “synchronized” price rebound implies a common cause of house price hikes across the economies. This study conducts a panel regression analysis on five economies, namely Australia, Canada, European Union, New Zealand, the United Kingdom, and the United States of America, to test the hypothesis. The data range from 2017Q1 to 2021Q1. The results confirm that the real interest rate imposes a negative and significant effect on house price growth rate after controlling for economic growth factors, unemployment factors, and cross-country fixed effects. The empirical result of the five housing markets shows that a 1% fall in the real interest rate caused a 1.5% increase in house prices, ceteris paribus, in this period. It also provides casual evidence refuting the economic growth hypothesis and the migrant hypothesis in New Zealand. The results provide far-reaching practical implications on housing policy and on the ways forward to solve housing affordability problems.

scholarly journals Bangladesh

2020 ◽  
Vol 20 (195) ◽  
Author(s):  
Keyword(s):  
Price Index ◽  
Technical Assistance ◽  
Residential Property ◽  
Property Price

The purpose of the mission was to assist the Bangladesh Bank (BB) in progressing on the compilation of a residential property price index (RPPI). This will be the first technical assistance (TA) mission to Bangladesh on the RPPI to be conducted under the auspices of the Data for Decisions Fund (D4D). The aim of the mission is to assist the BB in improving data for RPPI compilation and to compile an experimental RPPI.

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