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1 – 10 of 243This study attempts to find the response of the real estate market to economic changes by identifying cause-effect relationships between mortgage, residential investment, and…
Abstract
Purpose
This study attempts to find the response of the real estate market to economic changes by identifying cause-effect relationships between mortgage, residential investment, and Saudi employment.
Design/methodology/approach
A quantitative approach to analytically examine the relationship among the variables. To find out the impact of investment, mortgage and Saudi employment on the Saudi real estate growth from 1970 to 2019. All data sets were obtained from the General Authority for Statistics (GAST), Saudi Central Bank (SAMA) and World Bank Group.
Findings
This study reveals a positive relationship between the mortgage and GDP in the Saudi Arabian real estate market. The same results for employment and investment; both have a positive effect on the GDP of the real estate market.
Research limitations/implications
Analyzing the impact of real estate financing on various industries and the extent to which it is related to employment and unemployment rates is essential for future research. Moreover, this research can be applied to different countries and compared based on similarities and differences in implementing mortgage-related policies.
Practical implications
The government must encourage investment in various ways and establish a stable structure that ensures market stability and finds a balance between supply and demand.
Social implications
This study reflects the importance of real estate financing not only to individuals and governments but also to investors and business workers, and it is essential to analyze the impact of real estate financing on various industries, as well as the extent to which it is related to employment and unemployment rates. This research can be applied to different countries and compared based on similarities and differences in the implementation of mortgage-related policies.
Originality/value
This study contributes to testing this study’s hypothesis: that mortgage positively impacts the real estate market of Saudi Arabia.
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Rosli Said, Mardhiati Sulaimi, Rohayu Ab Majid, Ainoriza Mohd Aini, Olusegun Olaopin Olanrele and Omokolade Akinsomi
This study aims to address the critical need for innovative financing solutions in the global housing sector, focusing specifically on Malaysia’s distinct housing finance system…
Abstract
Purpose
This study aims to address the critical need for innovative financing solutions in the global housing sector, focusing specifically on Malaysia’s distinct housing finance system encompassing both conventional and Islamic loans. The primary objective is to develop a transformative housing finance model that addresses affordability challenges and reshapes the Malaysian housing landscape.
Design/methodology/approach
The study presents an alternate housing finance model for Malaysia, integrating lower monthly payments and reduced household debt. Key variables include house price appreciation rates, interest rates, initial guarantee fees and loan-to-value ratios. Inspired by the Help to Buy (HTB) scheme, the model aligns with proven global initiatives for enhanced affordability, balancing payment amounts, loan interest rates and acceptable price thresholds.
Findings
The study’s findings promise to address affordability disparities and reshape Malaysia’s housing finance landscape. The emphasis is on introducing a structured repayment plan that offers a sustainable path to homeownership, particularly for low-income families. Incorporating the future value adaptation concept, inspired by reverse mortgages and Islamic finance, enhances adaptability, ensuring long-term sustainability despite economic shifts.
Practical implications
The proposed model promotes widespread access to homeownership, offering practical solutions for policymakers to improve affordability, prompting adaptable risk management strategies for financial institutions and empowering potential homebuyers with increased flexibility.
Originality/value
The study introduces a transformative housing finance model for Malaysia, merging elements from reverse mortgages, Islamic finance and the HTB scheme, offering potential applicability to similar systems globally.
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Robert Mwanyepedza and Syden Mishi
The study aims to estimate the short- and long-run effects of monetary policy on residential property prices in South Africa. Over the past decades, there has been a monetary…
Abstract
Purpose
The study aims to estimate the short- and long-run effects of monetary policy on residential property prices in South Africa. Over the past decades, there has been a monetary policy shift, from targeting money supply and exchange rate to inflation. The shifts have affected residential property market dynamics.
Design/methodology/approach
The Johansen cointegration approach was used to estimate the effects of changes in monetary policy proxies on residential property prices using quarterly data from 1980 to 2022.
Findings
Mortgage finance and economic growth have a significant positive long-run effect on residential property prices. The consumer price index, the inflation targeting framework, interest rates and exchange rates have a significant negative long-run effect on residential property prices. The Granger causality test has depicted that exchange rate significantly influences residential property prices in the short run, and interest rates, inflation targeting framework, gross domestic product, money supply consumer price index and exchange rate can quickly return to equilibrium when they are in disequilibrium.
Originality/value
There are limited arguments whether the inflation targeting monetary policy framework in South Africa has prevented residential property market boom and bust scenarios. The study has found that the implementation of inflation targeting framework has successfully reduced booms in residential property prices in South Africa.
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The completion of residential housing units reached a post-Soviet record of 110 million square metres. This strong expansion in construction activity was demand-led, stimulated by…
Details
DOI: 10.1108/OXAN-DB286017
ISSN: 2633-304X
Keywords
Geographic
Topical
Emre Bulut and Başak Tanyeri-Günsür
The global financial crisis (GFC) of 2007–2008 had far-reaching consequences for the global economy, triggering widespread economic turmoil. We use the event-study method to…
Abstract
The global financial crisis (GFC) of 2007–2008 had far-reaching consequences for the global economy, triggering widespread economic turmoil. We use the event-study method to investigate whether investors priced the effect of significant events before the Lehman Brothers' bankruptcy in European and Asia-Pacific banks. Abnormal returns on the event days range from −4.32% to 5.03% in Europe and −5.13% to 6.57% in Asia-Pacific countries. When Lehman Brothers went bankrupt on September 15, 2008, abnormal returns averaged the lowest at −4.32% in Europe and −5.13% in Asia-Pacific countries. The significant abnormal returns show that Lehman Brothers' collapse was a turning point, and investors paid attention to the precrisis events as warning signs of the oncoming crisis.
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This study aims to examine the impact of some real variables such as real effective exchange rates, real mortgage rates, real money supply, real construction cost index and…
Abstract
Purpose
This study aims to examine the impact of some real variables such as real effective exchange rates, real mortgage rates, real money supply, real construction cost index and housing sales on the real housing prices.
Design/methodology/approach
This study uses a nonlinear autoregressive distributed lag (NARDL) model in the monthly period of 2010:1–2021:10.
Findings
The real effective exchange rate has a positive and symmetric effect. The decreasing effect of negative changes in real money supply on real housing prices is higher than the increasing effect of positive changes. Only positive changes in the real construction cost index have an increasing and statistically significant effect on real house prices, while only negative changes in housing sales have a small negative sign and a small increasing effect on housing prices. The fact that the positive and negative changes in real mortgage rates are negative and positive, respectively, indicates that both have a reducing effect on real housing prices.
Originality/value
This study suggests the first NARDL model that investigates the asymmetric effects on real housing prices instead of nominal housing prices for Turkey. In addition, the study is the first, to the best of the authors’ knowledge, to examine the effects of the five real variables on real housing prices.
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The purpose of this paper is to examine the effects of financialisation on the changing structure of housing supply in Malaysia. The share of newly launched sub-MYR250,000 houses…
Abstract
Purpose
The purpose of this paper is to examine the effects of financialisation on the changing structure of housing supply in Malaysia. The share of newly launched sub-MYR250,000 houses has been decreasing continuously in the past decade. This implies that housing developers are launching more expensive houses. The greater focus on higher cost housing could be attributed to inflation. But while input cost is rising, the housing sector has also become increasingly financialised. This claim can be supported by the rising share of mortgage and real estate loans in gross domestic product. Financialisation is a process in which the financial sector becomes more dominant relative to the real sector. The extent to which this process is responsible for the changing structure of housing supply in Malaysia is investigated.
Design/methodology/approach
A survey of the literature suggested that the decreasing the proportion of newly launched sub-MYR250,000 housing could be result of rising input cost, greater degree of financialisation and changing market concentration. Thus, long-run cointegrating equations were formulated and estimated. These equations linked housing share with financialisation, market structure and input cost. The quantitative and qualitative impact of financialisation on the structure of housing supply is of interest.
Findings
The analyses of secondary data suggested that financialisation and input cost did indeed contribute to the decrease in proportion of newly launched sub-MYR250,000 housing. However, the impact of market concentration on housing share was ambiguous. This conclusion survived several robustness checks.
Practical implications
The financialisation of the housing sector implies that developers are increasingly building for profits instead of accommodating the social objective of providing shelter. This result is unsettling because access to adequate housing is a human right. The transformation of housing from the concept of a shelter to a tradable, money-making asset could be a major contributor to the declining housing affordability in the country. Thus, efforts to improve affordability must take account of the effects of financialisation.
Originality/value
An empirical framework for assessing the changes in the structure of housing supply was developed. Existing studies tended to focus only on the volume of housing supply. It is a comprehensive study on changes in the structure of housing supply. Second, while existing studies on the financialisation of housing are mostly qualitative in methodology, this paper offers a quantitative assessment of the financialisation in the housing sector.
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Sampa Chisumbe, Clinton Ohis Aigbavboa, Erastus Mwanaumo and Wellington Didibhuku Thwala
This paper aims to examine the dynamics of house prices in metropolitan cities in an emerging economy. The purpose of this study is to characterise the house price dynamics and…
Abstract
Purpose
This paper aims to examine the dynamics of house prices in metropolitan cities in an emerging economy. The purpose of this study is to characterise the house price dynamics and the spatial heterogeneity in the dynamics.
Design/methodology/approach
The author explores spatial heterogeneity in house price dynamics, using data for 35 Indian cities with a million-plus population. The research methodology uses panel econometrics allowing for spatial heterogeneity, cross-sectional dependence and non-stationary data. The author tests for spatial differences and analyses the income elasticity of prices, the role of construction costs and lending to the real estate industry by commercial banks.
Findings
Long-term fundamentals drive the Indian housing markets, where wealth parameters are stronger than supply-side parameters such as construction costs or availability of financing for housing projects. The long-term elasticity of house prices to aggregate household deposits (wealth proxy) varies considerably across cities. However, the elasticity estimated at 0.39 is low. The highest coefficient is for Ludhiana (1.14), followed by Bhubaneswar (0.78). The short-term dynamics are robust and show spatial heterogeneity. Short-term momentum (lagged housing price changes) has a parameter value of 0.307. The momentum factor is the crucial dynamic in the short term. The second driver, the reversion rate to long-term equilibrium (estimated at −0.18), is higher than rates reported from developed markets.
Research limitations/implications
This research applies to markets that require some home equity contributions from buyers of housing services.
Practical implications
Stakeholders can characterise stable housing markets based on long-term fundamental value and short-run house price dynamics. Because stable housing markets benefit all stakeholders, weak or non-existent mean reversion dynamics may prompt the intervention of policymakers. The role of urban planners, and local and regional governance, is essential to remove the bottlenecks from the demand side or supply side factors that can lead to runaway prices.
Originality/value
Existing literature is concerned about the risk of a housing bubble due to relaxed credit norms. To prevent housing market bubbles, some regulators require higher contributions from home buyers in the form of equity. The dynamics of house prices in markets with higher owner equity requirements vary from high-leverage markets. The influence of wealth effects is examined using novel data sets. This research, documents in an emerging market context, the observations cited in low-leverage developed markets such as Germany and Japan.
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