scholarly journals RETHINKING THE RELATIONSHIP BETWEEN HOUSING PRICES AND INFLATION: NEW EVIDENCE FROM 29 LARGE CITIES IN CHINA

2019 ◽  
Vol 23 (3) ◽  
pp. 142-155 ◽  
Author(s):  
Jianli Tang ◽  
Kunhui Ye ◽  
Yan Qian
Keyword(s):  
Housing Prices ◽  
Housing Price ◽  
Chinese Economy ◽  
Sample Period ◽  
Large Cities ◽  
Long Run ◽  
Different Types ◽  
Bounds Test ◽  
New Evidence ◽  
The Relationship

This paper presents a longitudinal analysis of the relationship between housing prices and inflation by employing new housing price indices from 29 large Chinese cities over the 2003–2013 period. Based on the Autoregressive Distributive Lag (ARDL) model and bounds test, we find no long-run co-integration relationship between housing prices and inflation. This result is robust for different types of inflation (actual, expected, unexpected inflation). Furthermore, it is found that the housing prices in China grow spectacularly in the sample period owing to the dramatic development of the Chinese economy, while inflation grows in a more modest way. Although the study is conducted in the context of China, the results can provide useful evidence to the debate on the relationship between housing prices and inflation.

scholarly journals Do Political Institutions Affect Housing Prices in Malaysia?

2018 ◽  
Vol 14 (12) ◽  
pp. 134
Author(s):  
Noor Zahirah Mohd Sidek
Keyword(s):  
Political Institutions ◽  
Housing Prices ◽  
Housing Price ◽  
Time Frame ◽  
Economic Governance ◽  
Bounds Testing ◽  
Stable Housing ◽  
Long Run ◽  
The Relationship

This paper examines the relationship between housing price and political institutions. Political institutions is captured by elections, the role of elected government and their ramifications, and economic governance. Furthermore, the outcome of political choice on the economy is capture via economic freedom. Data ranges from 1988 to 2015. The choice of variable and time frame is highly restricted to availability of data. The effect of political institution on housing prices is examined using the ARDL bounds testing to test for both short and long run effects. Results show that elections have important effects on housing prices where prior to elections the effect is positive and negative after elections. Based on the results we recommend a strong and balance democratic regime to ensure a more stable housing prices. Strong political will is expected to curb excessive increase in housing prices in the long run.

scholarly journals The importance of knowledge for wellbeing of society in the contemporary world

2017 ◽  
Vol 28 (4) ◽  
pp. 1136-1159
Author(s):  
Dusan Markovic ◽  
Mrdjan Mladjan
Keyword(s):  
Developed Countries ◽  
Contemporary World ◽  
Types Of Knowledge ◽  
National Competitiveness ◽  
Long Run ◽  
New Knowledge ◽  
Physical Resources ◽  
Potential Problems ◽  
Different Types ◽  
The Relationship

Following the recent wave of globalization, the possession of different types of knowledge became even more important for economic development than the possession of physical resources. The ability of a society to adopt existing and create new knowledge thus gained fundamental importance for its wellbeing. In this paper, we identify important aspects of the relationship between education, creation of knowledge, economic growth, as well as both material and immate?rial wellbeing of a society. We describe potential problems that prevent societies from maximizing the benefit from the effort its members invest in acquiring knowledge. The problems of failure of the national markets for education as well as the global migrations which lead to drain of knowledge towards economically highly developed countries are especially analyzed. In the long run, they lead to a decline in both national competitiveness and different aspects of the immate?rial wellbeing. As the basis for solving these problems we propose a combination of economic theory and the concept of solidarity between more and less devel?oped countries, individuals and societies of their origin, respecting the free will of individuals.

scholarly journals Urban Structure, Subway Systemand Housing Price: Evidence from Beijing and Hangzhou, China

2019 ◽  
Vol 11 (3) ◽  
pp. 669 ◽  
Author(s):  
Xiaoqi Zhang ◽  
Yanqiao Zheng ◽  
Lei Sun ◽  
Qiwen Dai
Keyword(s):  
Housing Market ◽  
Housing Prices ◽  
Housing Price ◽  
Structural Features ◽  
Urban Structure ◽  
Constrained Clustering ◽  
The Core ◽  
Urban Core ◽  
Subway System ◽  
The Relationship

Using housing market data of Beijing and Hangzhou, China, we conduct a case study to detect how the difference of urban structure can affect the relationship between the subway system and housing prices. To quantify the characteristics of urban structure, we propose a constrained clustering method, which can not only reveal the spatial heterogeneity of the housing market, but also provides a link between heterogeneity and the underlying urban structure. Applying constrained clustering to Beijing and Hangzhou, we find that the relationship between accessibility to metro stations and housing prices is weak and vulnerable, while the improvement of commuting efficiency, measured by a key variable, the metro index, does have a robust connection to metro premium on housing units. In particular, only a large metro index can be associated with a positive metro premium. Structural features, such as the size of urban core and the existence of multiple sub-centers, influence the metro premium by affecting the value and spatial distribution of the metro index. The evidence from Beijing and Hangzhou supports that in a mono-centric city, the size of the urban core is positively associated with the metro index and the metro premium, while in a poly-centric city with a small urban core, the metro index tends to be lower in the core region and higher in the satellite regions, which enforces the metro premium to be negative in the core while positive outside of the core.

Modelling housing prices and market fundamentals: evidence from the Sydney housing market

2019 ◽  
Vol 12 (4) ◽  
pp. 746-762 ◽  
Author(s):  
Md Abdullah Al-Masum ◽  
Chyi Lin Lee
Keyword(s):  
Investment Decision ◽  
Housing Prices ◽  
National Level ◽  
Housing Price ◽  
Capital City ◽  
Content Type ◽  
Price Series ◽  
Long Run ◽  
Investment Decision Making ◽  
Market Fundamentals

PurposeHousing prices in Sydney have increased rapidly in the past three decades. This leads to a debate of whether Sydney housing prices have departed from macroeconomic fundamentals. However, little research has been devoted to this area. Therefore, this study aims to fill this gap by examining the long-run association between housing prices and market fundamentals. Further, it also examines the long-run determinants of housing prices in Greater Sydney.Design/methodology/approachThe analysis of this study involves two stages. The first stage is to estimate the presence of long-run relationship between housing prices and market fundamentals with the Johansen and Juselius Cointegration test. Thereafter, the determinants of housing prices in Greater Sydney is assessed by using a vector error correction model.FindingsThe empirical results show that Sydney housing prices are cointegrated with market fundamentals in the long run. In addition, there is evidence to suggest that market fundamentals such as gross disposable income, housing supply, unemployment rate and gross domestic product are the key long-run determinants of Sydney housing prices, reflecting that Sydney housing prices, in general, can be explained by market fundamentals in the long run.Research limitations/implicationsThe findings enable more informed and practical policy and investment decision-making regarding the relation between housing prices and market fundamentals.Originality/valueThis paper is the first study to offer empirical evidence of the degree to which the behaviour of housing prices can be explained by market fundamentals, from a capital city instead of at a national level, using a relatively disaggregated dataset of housing price series for Greater Sydney.

scholarly journals Spot and Derivative Contract Prices: Articulation of Relationships of Cardamom through ARDL Method

2019 ◽  
Vol 8 (3S2) ◽  
pp. 73-77
Keyword(s):  
Spot Price ◽  
Short Term ◽  
Commodity Exchange ◽  
Speed Of Adjustment ◽  
Ardl Bounds Test ◽  
Long Run ◽  
Period Derivative ◽  
Short Run ◽  
Bounds Test ◽  
The Relationship

India is known as land of spices and boast of a long history in spices trading. Cardamom derivative contract is listed for trading on Multi commodity Exchange in India. This paper endeavors to find out relationship between spot and derivative contract of cardamom. The relationship is also tested between derivative price of cardamom and spot price. Two period derivative contracts, near month contract and next contract of cardamom are used for the study. Long run relationship is examined through ARDL Bounds test. ECM is applied to find out short term relationship and speed of adjustment towards long run. Long run relationship was found between spot and derivative as well as between derivative and spot. Long run relationship was established in both period contracts. Short run relationship was also established and speed of adjustment is higher in near month contract.

scholarly journals HUBUNGAN INDEKS HARGA PROPERTI RESIDENSIAL DAN KREDIT PERBANKAN

2019 ◽  
Vol 3 (1) ◽  
pp. 95-111
Author(s):  
Njo Anastasia ◽  
Fabian Hidayat
Keyword(s):  
Gross Domestic Product ◽  
Housing Market ◽  
Housing Prices ◽  
Housing Price ◽  
Domestic Product ◽  
Test Model ◽  
Mortgage Interest ◽  
House Type ◽  
Banking Credit ◽  
The Relationship

Demand and supply in housing market depends on macroeconomic conditions such as Gross Domestic Product, interest rates, and housing prices. Changes to these variables are related to changes in housing market. This study aims to examine the relationship of housing prices, Gross Domestic Product, mortgage interest rate to Banking Credit. Knowing the relationship will be useful in making strategic decisions related to property investment and portfolio management. Housing price using Residential Price Index in primary market will be grouped into three parts based on land area of residential property consist of small house type, medium house type, and big house type. Data processing using Auto Regressive Distribution Lag (ARDL) bound test model to test the relationship between variables. The result of the research shows that there is a significant long run cointegration on the variable of housing price, Gross Domestic Product, and mortgage interest to banking credit. Furthermore, in testing each housing price group, the test results also show the relationship between these variables.

scholarly journals The Effect of Bank Specific Factors on Loan Performance of HFC Bank in Ghana

2016 ◽  
Vol 8 (7) ◽  
pp. 185
Author(s):  
Grace Ofori-Abebrese ◽  
Robert Becker Pickson ◽  
Eric Opare
Keyword(s):  
Sample Period ◽  
Loan Loss ◽  
Quarterly Data ◽  
Loan Loss Provision ◽  
Bank Management ◽  
Long Run ◽  
Specific Factors ◽  
Default Rate ◽  
Bounds Test ◽  
Bank Specific Factors

The default rate of loan in the country has been on the increase and worrying to all in recent times. This study assessed the effect of bank specific factors on the loan performance in HFC Bank in Ghana. The sample period used for the study was based on a quarterly data from 2008 to 2015. The study employed the ARDL bounds test of co-integration as an estimation technique to show the evidence of long run relationship among the variables. The study found bank’s loan interest rate, loan to asset ratio and bank’s loan loss provision over reserve as bank specific factors that influenced loan performance. These therefore showed that bank specific factors do have significant impact on loan performance. Hence, there is the need for bank management and regulators to undertake policies that can ensure efficiency in banks’ operations.

Long-run drivers and integration in interprovincial Canadian housing price relations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vijay Kumar Vishwakarma
Keyword(s):  
Housing Market ◽  
Granger Causality ◽  
Global Financial Crisis ◽  
Housing Prices ◽  
Housing Price ◽  
Housing Markets ◽  
Content Type ◽  
Stochastic Trend ◽  
Long Run ◽  
Long Run Equilibrium

Purpose This paper aims to examine the integration of housing markets in Canada by examining housing price data (1999–2016) of six metropolitan areas in different provinces, namely, Calgary, Vancouver, Winnipeg, Toronto, Montreal and Halifax. The authors test for cointegration, driver cities of long-run relationships, long-run Granger causality and instantaneous causality in light of the global financial crisis (GFC) (2007–2008). Design/methodology/approach The authors use Johansen’s system cointegration approach with structural breaks. Moving average representation is used for common stochastic trend(s) analysis. Finally, the authors apply vector error correction model-based Granger causality and instantaneous causality. Findings Cities’ housing prices are in long-run equilibrium. Post-crisis Canadian housing markets became more integrated. The Calgary, Vancouver, Toronto and Montreal markets drive the Canadian housing market, leading all cities toward long-run equilibrium. Strong long-run Granger causality exists, but the authors observe no instantaneous causality. Price information takes time to disseminate, and long-run price adjustments play a significant role in causation. Practical implications The findings of cointegration increasing after the GFC and strong lead–lag can be used by investors to arbitrage and optimize portfolios. This can also help national and local policymakers in mitigating risk. Incorporating these findings can lead to better price forecasting. Originality/value This study presents many novelties for the Canadian housing market: it is the first to use repeat-sales regional pricing indices to test long-run behaviors, conduct common stochastic trend analyzes and present causality relations.

International Real Estate Review

2020 ◽  
Vol 23 (3) ◽  
pp. 417-432
Author(s):  
Yen-Jong Chen ◽  
◽  
Cheng-Kai Hsu ◽  
Keyword(s):  
Urban Areas ◽  
Housing Prices ◽  
Housing Price ◽  
Hedonic Price ◽  
Rapid Transit ◽  
Transit Oriented Development ◽  
Transaction Data ◽  
Hedonic Price Models ◽  
Transit Accessibility ◽  
Different Types

Constructing multimodal stations is one of the considered ways to implement transit-oriented development (TOD), with the goal of synergizing land use and transportation to promote both greater transit accessibility and sustainability in urban areas. Improvements in such accessibility have led to an uplift in land value and housing prices. These price changes have been primarily studied by analyzing the effects of proximity to stations of a single line or multi-line mass rapid transit (MRT) system. However, little attention has been paid to investigating the effects of different types of multimodal MRTs and railway joined stations. The aim of this study is to investigate the different types of multimodal stations in Kaohsiung City, Taiwan. We use publicly available housing transaction data to construct hedonic price models. The results show that in the Kaohsiung MRT stations, an increase of 100 m in distance from the stations results in a TWD 258,000 decrease in the average housing price. The housing price elasticity with respect to a 1% increase in distance from these stations is -0.067%.

Does terrorism hamper FDI inflows? A pre and post 9/11 analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Imtiaz Arif ◽  
Amna Sohail Rawat ◽  
Lubna Khan
Keyword(s):  
Design Methodology ◽  
Policy Implications ◽  
Sample Period ◽  
Fdi Inflows ◽  
Content Type ◽  
Empirical Estimates ◽  
Pooled Mean Group ◽  
Long Run ◽  
The Relationship

PurposeThis research intends to determine the role of terrorism in defying foreign direct investment (FDI) in top terror effected economies.Design/methodology/approachPanel data on FDI and terrorism from top terror effected economies spanning from 1987 to 2018 were used and the relationship for whole sample was investigated. Later the sample period was divided into pre (1987–2001) and post 9/11 (2002–2018) subsample and same relationship was tested to investigate the normalization of terror effect on FDI. The method of Pooled Mean Group (PMG) was used to test the hypothesis.FindingsThe results showed a negative but statistically insignificant impact of terrorism on the FDI inflows in the long run. Later the sample period was divided into pre (1987–2001) and post 9/11 (2002–2018) subsample. The empirical estimates for pre and post 9/11 periods indicated a negative and statistically significant relationship between terrorism and FDI for pre 9/11 period, and a negative but statistically insignificant relationship between the two variables for post 9/11 period.Originality/valueThe findings suggest several important policy implications for the terror affected countries and are further discussed in the study.

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