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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.

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.

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.

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.

The purpose of this paper is to identify the drivers of residential price as well as the degree co-movement of housing among different states in Malaysia.

This study adopted an advanced econometrics technique: the dynamic autoregressive-distributed lag (DARDL) and – the time-frequency domain approach known as the wavelet coherence test. The DARDL model was applied to identify the cointegrating relationships and the CWT was used to analyze the co-movement and lead–lag relationships among four states’ regional housing prices. The extracted data were mainly on annual basis and comprised macroeconomics and financial factors. Information with regard to residential prices and other variables was extracted from the National Property Information Centre (NAPIC) website, the Central Bank of Malaysia Statistics Report, the Department of Statistics, Malaysia, I-Property.com and the World Bank (WB). The data covered in this study were the pool data from four main states in Malaysia and different categories of residential properties.

The empirical results indicate that there were long-run cointegration relationships between the housing price and capital gain and loss, rental per square feet, disposable income, inflation, number of marriages, deposit rate, risk premium and loan-to-value (LTV) ratio. While the wavelet analysis shows that (1) in the long run, Kuala Lumpur housing price having strong co-movement with Selangor, Penang and Melaka housing prices except for Johor and (2) the lead–lag relationship also postulates Kuala Lumpur housing price having in-phase category with Selangor, Penang and Melaka housing prices except for Johor.

This study offers relevant practical implications. First, the study proposes an active collaboration between the private sector and government support which may help to smooth the pricing issue of residential properties. More low-cost residential projects are needed for focus groups including middle- and low-income earners. Furthermore, the results are expected to provide real estate investor in Malaysia, an improved understanding of the regional housing market price dynamics.

The findings of this study were obtained from various reliable sources; therefore, the results reflected the analysis of price drivers and co-movements. Furthermore, findings from this study lend some support to the argument on the rise of residential prices and offer several policy implications from a practical point of view with regard to the residential market.

This study aims to explore the issue of residential price in Malaysia from a supply-side perspective. The views are directly obtained from medium and small-scale developers in Malaysia.

We used the semi-structured interview for analysis purpose. The samples are from property developers (medium and small-scale developers) and a single respondent from the Malaysian National House Buyers Association. We used the judgmental sampling method to choose respondents for this study. The interview results went through content analysis in order to derive common themes, resulting in the identification of four main themes.

First, developers view that the residential market is growing at a good pace, albeit slowly. However, the issue of unaffordability and construction costs remains to haunt the progress of property development in Malaysia. Second, from supply-side perspectives, there are several main reasons why the residential prices in Malaysia are uncontrollable: (1) costs of construction, (2) taxes, (3) existing units, (4) location and (5) urbanization. The third theme is the government support in catering to the needs and wants of middle- and lower-income earners. Most respondents agreed that the government has been providing low-cost houses supported by various incentives. Finally, on price control strategies for residential units, recommended suggestions are as follow: embracing different methods of construction styles, promote the uses of local materials instead of relying on imported materials, continuously review rules and regulations, provide more incentives and to build partnerships between the government and private companies on affordable housing projects.

The research is expected to present solid findings and claimsseveral significant contributions, especially policy-wise. We believe this contribution will enrich the existing literature on residential market. The present study is also predicted to produce noteworthy findings to all stakeholders in the real-estate industry, such as potential home buyers and existing house owners to housing developers, marketers and government policy regulators, as well as academic institutions.

This study is expected to enrich the existing literature available in the context of real-estate finance such as property price and property policy in emerging economies like Malaysia. One distinguishing factor which differentiates this study from others in the literature is the feedbacks obtained from medium and small-scale developers, therefore deemed to be more solid and reliable. The current research in real-estate finance is mainly focused on empirical analysis and we believe this study will offer a breakthrough view on the matter of residential market in Malaysia.

Sustainability represents innovative elements in determining the profitability of real estate investments, among other factors, including the green component in real estate. Evidence from the literature has pointed out that incorporating green features into residential buildings can reduce operational costs and increase the building’s value. Although green real estate is considered the future trend of choice, it is still being determined whether prospective buyers are willing to accept the extra cost of green residential investment. Therefore, this study aims to investigate the effect of housing attributes and green certification on residential real estate prices.

The impact of the housing attribute and green certification in the residential sectors was assessed using a transaction data set comprising approximately 861 residential units sold in Selangor, Malaysia, between 2014 and 2022. Linear and quantile regression were used in this study by using SPSS software for a robust result.

The findings indicate that the market price of residential properties in Malaysia is influenced by housing attributes, transaction types and Green Building Index certification. The empirical evidence from this study suggests that green certification significantly affects the sales price of residential properties in Malaysia. The findings of this research will help investors identify measurable factors that affect the transaction prices of green-certified residential real estate. These identifications will facilitate the development of strategic plans aimed at achieving sustainable rates of return in the sustainable residential real estate market.

Specifically, this research will contribute to achieving area 4 of the 11th Malaysia Plan, which pertains to pursuing green growth for sustainability and resilience. This will be achieved by enhancing awareness among investors and homebuyers regarding the importance of green residential buildings in contributing to the environment, the economy and society.

The regression model for housing attributes and green certification on house price developed in this study could offer valuable benefits to support and advance Malaysia in realising its medium and long-term goals for green technology.

The purpose of this study is to analyse numerous aspects affecting residential property price in Malaysia against macroeconomics issues such as gross domestic product (GDP), exchange rate, unemployment and wage.

The hedonic pricing model has been adopted as econometric model for this research to investigate the relationship between residential property price against macroeconomics indicator. The data for residential property price and macroeconomic variables were collected from 1991 to 2019. Multiple linear regression had been adopted to find the relationship between the dependent and independent variables.

The result shows that the GDP has a significant positive impact on residential property price, while exchange rate has no significant impact although it was positive. In addition, the unemployment rate has a significant impact on the residential property price and has a negative relationship. Similar to the wage that shows the negative relationship with residential property prices. Moreover, during the pandemic COVID-19 in Malaysia, this research shows a more transparent view of the relationship between residential property price and the macroeconomic issues of GDP, exchange rate, unemployment and wage.

The findings of this research found that macroeconomics issue cannot be eliminated due to Malaysia is a developing country, and there will always be an issue that will happen, but the issues can be reduced to maximise the advantages, e.g. during COVID-19, the solution to fight against COVID-19 were crucial and weaken the macroeconomics issues.

The purpose of this study is to contribute to the relatively narrow existing residential real estate literature by developing and validating several univariate forecasting models, to reliably anticipate future house price dynamics across several European Union (EU) countries.

The research approach relies on the time series analysis, by using the Box–Jenkins autoregressive integrated moving average (ARIMA) methodology to explore the trends of residential property prices in selected EU countries and to obtain a snapshot of the potential signs of change to be witnessed by domestic residential markets on a short time-period. The analysis has been performed distinctly for each country in the sample, to account for country-specific past and future trends as well as similarities in their house price growth rate evolutions. The models were estimated for a broad sample of quarterly observations during 1990-2015, while the forecast horizon ranged between the third quarter of 2015 and the fourth quarter of 2016.

The findings suggested that residential property prices’ real growth rate can be modeled through the Box–Jenkins method for France, The Netherlands, Sweden and UK. The pattern of Italy’s residential property prices’ real growth rate cannot be explained by means of univariate ARIMA models, being more suited for multivariate models.

The article subscribes to the need for timely, high-frequency and quality data about house price trends in Europe, to increase the accuracy of forecasts and prevent the appearance of bubbles on real estate market. It compares residential property prices’ dynamics across European countries to identify housing markets with similar patterns of their prices.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

This study aims to address the gap by empirically exploring how residential construction-production progress, which includes project commencement, under-construction and project completion, responds dynamically to fluctuations in house prices.

A vector autoregressive model and an impulse response function are applied to simulate and analyse the circle of the stage-responsiveness of residential construction to residential property price dynamics in the state of Victoria, Australia. The quarterly numbers of dwelling units commenced, under-construction and completed are used as the proxy for the residential construction activities at three stages over the construction progress.

The analysis indicates that the dynamics are essentially transmitted throughout the construction process and can substantially impact the pace of production progress. The findings from this study provide an empirical base that should be useful in developing price-elasticity and production theories applicable to the context of residential property construction.

The findings described above have been generated basically by examining the case of Victoria, Australia at a macro level. The generalisation of the research output needs to be verified further by future researchers using data collected from other regions/countries. Nevertheless, the reliability of the conclusions with particular practical implications can be substantially improved by future researchers by analysing more markets and production proxies at the activity level.

Based on new empirical findings, this research argues that building activity (i.e. under construction) played as a gateway between the construction and housing sectors, via which the inter-responsiveness of the housing supply in terms of construction activities and housing prices are transmitted.

This research firstly attempts to explore the inter-responsiveness between the real estate and construction sectors. A simulated circle of the stage-responsiveness of residential construction to residential property price dynamics is proposed, which can serve as a significant foundation for developing the theory of construction production.