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1 – 10 of over 2000The purpose of this study, the nonlinear relationship between the real estate market and the stock market was investigated in Iran. For this intent, the monthly data from 2012:4…
Abstract
Purpose
The purpose of this study, the nonlinear relationship between the real estate market and the stock market was investigated in Iran. For this intent, the monthly data from 2012:4 to 2022:5 is used.
Design/methodology/approach
In this study, the quantile-on-quantile estimation method is used, which is a combination of the nonparametric estimation methods and the quantile regression.
Findings
The research results show that, in the low quantiles, the effect of stock market return on the housing market return is negative or zero. In fact, in this situation, the increasing returns in the stock market will shift part of the financial resources of the economy to the market and create stagnation or even negative returns in the housing market. This situation is seen more strongly in some other quantiles, including the 0.25 and 0.75 quantiles; in contrast, the effect of high quantiles of stock market returns is positive on the housing market.
Originality/value
It seems that the demand in the housing market increase in a situation where the returns of the stock market are growing, and the market is in a bullish condition, and this causes an increase in the price and returns in this market. In addition, the results show that the effect of stock market returns on capital market returns is asymmetric and nonlinear.
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Benjamin Kwakye and Tze-Haw Chan
Market sentiment has shown to influence housing prices in the global north, but in emerging economies, the nexus is rare to chance on in the current state of science for policy…
Abstract
Purpose
Market sentiment has shown to influence housing prices in the global north, but in emerging economies, the nexus is rare to chance on in the current state of science for policy direction. More importantly in the recent decade where policymakers are yet to conclude on the myriad of factors confronting the housing market in sub-Saharan Africa inhibiting affordability. This paper therefore examines the impact of market sentiment on house prices in South Africa.
Design/methodology/approach
The study used the Autoregressive Distributed Lag (ARDL) approach with quarterly data spanning from 2005Q1 to 2020Q4.
Findings
In all, it was established that market sentiment plays a minimal role in the property market in South Africa. But there was enough evidence of cointegration from the bound test between sentiment and house prices. Nevertheless, the lag values of sentiment pointed to a rise in house prices. Exchange rate volatilities and inflation had a statistically significant effect on prices in both the long and short term, respectively.
Research limitations/implications
Policymakers could still monitor market sentiment in the housing market due to the strong chemistry between house prices and sentiment, as evidenced from the bound test, but focus on economic fundamentals as the main policy tool for house price reduction.
Originality/value
The findings and the creation of the sentiment index make an invaluable contribution to the paper and add to the paucity of literature on the study of market sentiment in the housing market.
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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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Jieyu Li, Libang Ma, Tianmin Tao, Zhihang Zhu and Sixia Li
By analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a…
Abstract
Purpose
By analyzing the mechanisms by which rural infrastructure resilience (RIR) impacted population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.
Design/methodology/approach
This study considered 213 administrative villages in Longxi County in the Longzhong loess hilly region as the evaluation unit. Based on the construction of a multidimensional RIR evaluation system, the spatial spillover effect of RIR on population loss was determined using the spatial Durbin model (SDM).
Findings
The average resilience of each subsystem of rural infrastructure in Longxi County was low, and there were large differences in the spatial distribution. The mean RIR index value was 0.2258, with obvious spatial directivity and agglomeration characteristics. The population loss index of Longxi County had a value of 0.1759, with 26.29 of villages having a high loss level. The population loss was relatively serious and was correlated with the spatial distribution of RIR. The villages with larger RIR index values had lower population loss. The RIR had a significant spatial spillover effect on population loss. Productive infrastructure resilience and living infrastructure resilience (LIR) had negative spillover effects on population loss, and social service infrastructure resilience (SSIR) had a positive spillover effect on population loss.
Originality/value
By analyzing the mechanisms by which RIR impacted on population loss in Longxi County, this study proposes measures to improve RIR, which provides a practical reference for realizing China's rural revitalization strategy, besides providing ideas for alleviating population loss in similar regions around the world.
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Z. Göknur Büyükkara, İsmail Cem Özgüler and Ali Hepsen
The purpose of this study is to explore the intricate relationship between oil prices, house prices in the UK and Norway, and the mediating role of gold and stock prices in both…
Abstract
Purpose
The purpose of this study is to explore the intricate relationship between oil prices, house prices in the UK and Norway, and the mediating role of gold and stock prices in both the short- and long-term, unraveling these complex linkages by employing an empirical approach.
Design/methodology/approach
This study benefits from a comprehensive set of econometric tools, including a multiequation vector autoregressive (VAR) system, Granger causality test, impulse response function, variance decomposition and a single-equation autoregressive distributed lag (ARDL) system. This rigorous approach enables to identify both short- and long-run dynamics to unravel the intricate linkages between Brent oil prices, housing prices, gold prices and stock prices in the UK and Norway over the period from 2005:Q1 to 2022:Q2.
Findings
The findings indicate that rising oil prices negatively impact house prices, whereas the positive influence of stock market performance on housing is more pronounced. A two-way causal relationship exists between stock market indices and house prices, whereas a one-way causal relationship exists from crude oil prices to house prices in both countries. The VAR model reveals that past housing prices, stock market indices in each country and Brent oil prices are the primary determinants of current housing prices. The single-equation ARDL results for housing prices demonstrate the existence of a long-run cointegrating relationship between real estate and stock prices. The variance decomposition analysis indicates that oil prices have a more pronounced impact on housing prices compared with stock prices. The findings reveal that shocks in stock markets have a greater influence on housing market prices than those in oil or gold prices. Consequently, house prices exhibit a stronger reaction to general financial market indicators than to commodity prices.
Research limitations/implications
This study may have several limitations. First, the model does not include all relevant macroeconomic variables, such as interest rates, unemployment rates and gross domestic product growth. This omission may affect the accuracy of the model’s predictions and lead to inefficiencies in the real estate market. Second, this study does not consider alternative explanations for market inefficiencies, such as behavioral finance factors, information asymmetry or market microstructure effects. Third, the models have limitations in revealing how predictors react to positive and negative shocks. Therefore, the results of this study should be interpreted with caution.
Practical implications
These findings hold significant implications for formulating dynamic policies aimed at stabilizing the housing markets of these two oil-producing nations. The practical implications of this study extend to academics, investors and policymakers, particularly in light of the volatility characterizing both housing and commodity markets. The findings reveal that shocks in stock markets have a more profound impact on housing market prices compared with those in oil or gold prices. Consequently, house prices exhibit a stronger reaction to general financial market indicators than to commodity prices.
Social implications
These findings could also serve as valuable insights for future research endeavors aimed at constructing models that link real estate market dynamics to macroeconomic indicators.
Originality/value
Using a variety of econometric approaches, this paper presents an innovative empirical analysis of the intricate relationship between euro property prices, stock prices, gold prices and oil prices in the UK and Norway from 2005:Q1 to 2022:Q2. Expanding upon the existing literature on housing market price determinants, this study delves into the role of gold and oil prices, considering their impact on industrial production and overall economic growth. This paper provides valuable policy insights for effectively managing the impact of oil price shocks on the housing market.
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This paper aims to test the hedging ability of housing investment against inflation in Japan and the USA during the period 2000–2020.
Abstract
Purpose
This paper aims to test the hedging ability of housing investment against inflation in Japan and the USA during the period 2000–2020.
Design/methodology/approach
This study applies the deep learning method and The exponential general autoregressive conditional heteroskedasticity in mean (1, 1) model with breaks.
Findings
Within the asymmetric framework, it is found that housing returns (HR) can hedge against inflation in both these markets, which mentions that when investing in the housing market in Japan and the USA, investors are compensated for bearing from inflation. This result is consistent with Fisher’s hypothesis. Especially, the empirical results show that the risk-return tradeoff is available in Japan’s housing market and not available in the US housing market. Any signal of a high inflation rate – referred to as “bad news” – may cause a drop in HR in Japan and a raise in the USA.
Originality/value
To the best of the author’s knowledge, this is one of the first studies using the deep learning method (long short-term memory model) to estimate the expected/unexpected inflation rates.
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María-del-Carmen Alarcón-del-Amo, Carlota Lorenzo-Romero and Miguel-Ángel Gómez-Borja
This study aims to understand the motivations behind using Airbnb as a collaborative housing platform brand, their impact on satisfaction and engagement, and how the latter…
Abstract
Purpose
This study aims to understand the motivations behind using Airbnb as a collaborative housing platform brand, their impact on satisfaction and engagement, and how the latter affects brand electronic Word of Mouth (eWOM) and brand loyalty. It also analyzes the potential moderating effect of the use intensity of collaborative housing platforms for the proposed causal relationships.
Design/methodology/approach
An online survey was addressed to active users of Airbnb with a final sample of 405 users. Data were analyzed using a covariance-based structural equation modeling (SEM) to test the causal model and a multigroup SEM to test the moderator effect of the intensity of use.
Findings
The results show that convenience affects brand satisfaction and hedonic motivation influences brand engagement, and both affect return intention and eWOM. In contrast, sustainability motivations seem unrelated both with satisfaction and engagement. Furthermore, the mechanism by which people reach loyalty in terms of return intention varies according to their usage intensity. Thus, the engagement–intention way is stronger for more intensive brand users. In contrast, the satisfaction–intention mechanism is significantly stronger for those with more sporadic use.
Practical implications
The management of collaborative housing platforms should promote tools and actions that favor enjoyment and fun since they increase engagement. On the other hand, it should be interesting to communicate the idea of the convenience of the applications, such as availability for a great offer, ease of contracting, or saving time, since this type of motivation directly correlates with customer satisfaction.
Originality/value
The motivational and behavioral heterogeneity demonstrated in this research can make it easier for people to be reached through different communication strategies and arguments both by the collaborative housing platforms and by public agencies with interests in city tourism management.
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Promoting enterprises' green innovation is vital to realize the sustainable growth of cities and environmental protection and the rise of urban housing prices might affect the…
Abstract
Purpose
Promoting enterprises' green innovation is vital to realize the sustainable growth of cities and environmental protection and the rise of urban housing prices might affect the green innovation of enterprises to a certain extent. This study aims to discuss the aforementioned objective.
Design/methodology/approach
Based on the data of listed companies and urban housing prices of main cities in China from 2011 to 2019, this paper examines the impact of housing prices on enterprises' green innovation and analyzes the mechanism of rising housing prices on enterprises' green innovation.
Findings
The rise of urban housing prices can significantly promote the quality of green innovation of enterprises, but it has no significant impact on the quantity of green innovation. The heterogeneity test results show that the rising house prices have a more significant role in promoting the green innovation of non-state-owned enterprises, enterprises listed on the main board, enterprises in the central and western regions, and enterprises in non-first-tier cities. The mechanism research finds that the rise of urban housing prices has a financing relief effect and cost-pushing effect on the green innovation of enterprises.
Originality/value
Firstly, it thoroughly examines the influence of housing prices on corporate green innovation. Second, it explores the differential impact of housing prices on enterprises' green innovation based on variations among enterprises and regions, offering valuable insights for the government to formulate proper policy. Lastly, it elucidates the influencing mechanism of housing prices on enterprise green innovation from the perspectives of corporate financing and costs, providing empirical support for enterprises to appropriately perceive the opportunities and challenges posed by rising housing prices and actively promote green innovation.
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Zafirah Al Sadat Zyed, Izma Syazana Badrudin and Peter Aning Tedong
This paper aims to discuss the issues and challenges related to housing continuity for individuals transitioning from homelessness to securing a place to live in Klang Valley…
Abstract
Purpose
This paper aims to discuss the issues and challenges related to housing continuity for individuals transitioning from homelessness to securing a place to live in Klang Valley, Malaysia. The aim of the study is to explore the problems and solutions in the context of housing policy, particularly as they pertain to homeless households. The study involves conducting in-depth interviews with various stakeholders involved in helping homeless households find shelter and access to public housing.
Design/methodology/approach
The research methodology comprises a comprehensive literature review encompassing housing affordability, affordable housing and homelessness both within Malaysia and globally to identify research gaps. One of the key questions highlighted the effectiveness of existing programs aimed at providing short-term shelter and social integration for homeless individuals. Additionally, it highlights one of the primary challenges in this process, which is the tendency of homeless individuals to return to homelessness due to various factors. The data collection uses a qualitative approach and the data are obtained through in-depth interviews with key stakeholders responsible for assisting homeless households in Klang Valley, Malaysia, encompassing federal, state and local government representatives. Purposive sampling ensures diverse stakeholder representation. Interviews are structured semi-structured to maintain consistency while allowing for open-ended discussions on challenges and successes in facilitating homeless individuals' transition to stable housing. Thematic analysis of transcribed interview data focuses on recurring themes related to housing continuity, affordability and homeless households' behavioural patterns.
Findings
There are five (n = 5) stakeholders consist of local government (Code: R1), ministries (Code: R2; R5) and government agencies (Code: R3; R4). The study revealed that various programs have been implemented to provide short-term shelter and facilitate the integration of homeless individuals into society. Nevertheless, a significant challenge identified was the recurring tendency of homeless households to return to homelessness. This “behavioural direction” was found to be influenced by multiple factors which includes mental health and attitude problem. The findings emphasise the need for collaborative efforts among all stakeholders to address the issues and challenges related to housing continuity in Klang Valley.
Originality/value
The originality of this research lies in its focus on the specific and under-researched context of Klang Valley, Malaysia, regarding the critical issues of housing affordability and the challenges of housing continuity for homeless households. While housing affordability and affordable housing are widely recognised as global housing policy concerns, this study delves into a localised setting where limited attention has been given to understanding the transitions of homeless individuals to stable housing. The findings provide unique insights into the efforts and challenges faced in Klang Valley, shedding light on the behavioural patterns and factors contributing to recurring homelessness. This paper offers a context-specific perspective that contributes to the broader understanding of housing continuity issues.
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