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The purpose of this study is to investigate the Granger causal link between the stock market index and housing prices in terms of apartment and villa prices.

Monthly data from September 2005 to October 2013 on apartment prices, villa prices, the stock market index, mortgage rates and the consumer price index were used. Statistical methods were applied to explore the long-run co-integration and Granger causal link between the stock market index and apartment and villa prices in Sweden.

The results indicate that the stock market index and housing prices are co-integrated and that a long-run equilibrium relationship exists between them. According to the Granger causality tests, bidirectional relationships exist between the stock market index and apartment and villa prices, respectively, supporting the wealth and credit-price effects. Moreover, variations in apartment and villa prices are primarily caused by endogenous shocks.

To the authors’ best knowledge, this study represents a first analysis of the causal nexus between the stock market and the housing market in terms of apartment and villa prices in the Swedish context using a vector error-correction model to analyze monthly data.

The purpose of this study is to investigate the Granger causal link between bank lending and housing prices.

Several econometric methods, including Granger causality tests based on a vector error correction model, were applied to analyse monthly time series data in the Swedish context. The data cover bank lending, apartment prices, villa prices, mortgage rates and the consumer price index from September 2005 to October 2013.

The results indicate that bank lending and housing prices are cointegrated. According to Granger causality tests, bidirectional relationships exist between bank lending and each of apartment and villa prices, confirming the financial accelerator mechanism. However, earlier shocks arising from housing prices themselves account for the greatest variation in future prices.

To the authors’ knowledge, this study represents the first analysis of the causal link between bank lending and the housing market in terms of apartment and villa prices in the Swedish context.

Since 2005, Belgian housing prices have strongly increased. As the timing coincides with the implementation of a new fiscal package in order to stimulate homeownership, our study attempts to provide an understanding whether the mortgage interest and capital deduction (MICPD) policy has had the side-effect of increasing housing prices while, at the same time, controlling for key housing price determinants.

A fixed-effects regression model is used on a panel dataset of the three Belgian regions over the period 1995–2015.

Estimations are carried out separately for different house types, being useful as our empirical analysis ascertains a significant price-increasing effect for ordinary houses and apartments but a significant price-reducing effect for villas. In addition, we find, among other things, that interest rates' influence has been less substantial than commonly thought.

These results are relevant for all governments willing to stimulate homeownership through fiscal stimuli.

Gated communities, residential enclaves that offer upscale housing and a variety of recreational and communal facilities within a walled area with controlled entrances, are proliferating in many of India's large metropolitan cities. In this paper, we analyze the images of place and identity that are evoked in online advertisements for gated communities in the city of Bangalore in southern India. Since the 1990s, Bangalore has become known as India's premier information technology (IT) hub and a magnet for multinational corporations and high-skill personnel. The latter include Non-Resident Indians (NRIs) who lived and worked abroad for several years and have returned to partake of new opportunities offered in the country. We explore the intersection of notions of identity, home and community in a globalised world through an examination of the graphic and textual images encoded in the advertisements of thirteen prominent developers in Bangalore whose upscale gated developments cater to NRIs. The advertisements depict high-end gated communities as places of luxury, exclusiveness, high security and convenience which also offer a range of recreational facilities for individuals and families. Additionally, those who live in the gated enclaves are portrayed as persons of distinction and class who are global and cosmopolitan in their outlook and identity.

This study aims to evaluate The Springs’ indoor environment, one of the iconic townhouse-type residential buildings in Dubai, more efficiently for the integrated evaluation of the indoor environment with the weights of indoor environmental factors such as thermal, indoor air, lighting and acoustic.

The weights of the indoor environment factors were derived for the integrated evaluation to reflect the residents’ preferences. Based on the post-occupancy evaluation (P.O.E.) survey, the weights according to the gender, age group and indoor spaces followed a comparison and analytical processes.

This paper had found the priority of residents’ needs for each space in The Springs project. In summer, thermal comfort was the most important factor for living room and the master bedroom. In winter, the priority for living room and kitchen was the indoor air quality.

As it is the first research survey for housing project in Dubai, it needs to be extended to other housing projects in Dubai. To increase the reliability of the weights calculated through this study and the applicability of the integrated indoor environmental evaluation, more in-depth P.O.E. survey is needed with wide range of survey participants.

This paper will help developing guidelines for future renovation based on the comparative analysis among thermal comfort, acoustic comfort, lighting comfort and indoor air comfort.

This paper is the first attempt to analyze the condition of early housing projects in Dubai. The data can be used to increase not only the design quality and marketability of housing projects in Dubai but also the condition of residents’ health status to avoid sick building syndrome from approximately 20 years old buildings.

Estimation of the rental price of a residential property is important to real estate investors, financial institutions, buyers and the government. These estimates provide information for assessing the economic viability and the tax accruable, respectively. The purpose of this study is to develop a neural network model for estimating the rental prices of residential properties in Cape Town, South Africa.

Data were collected on 14 property attributes and the rental prices were collected from relevant sources. The neural network algorithm was used for model estimation and validation. The data relating to 286 residential properties were collected in 2018.

The results show that the predictive accuracy of the developed neural network model is 78.95 per cent. Based on the sensitivity analysis of the model, it was revealed that balcony and floor area have the most significant impact on the rental price of residential properties. However, parking type and swimming pool had the least impact on rental price. Also, the availability of garden and proximity of police station had a low impact on rental price when compared to balcony.

In the light of these results, the developed neural network model could be used to estimate rental price for taxation. Also, the significant variables identified need to be included in the designs of new residential homes and this would ensure optimal returns to the investors.

A number of studies have shown that crime influences the value of residential properties. However, to the best of the authors’ knowledge, there is limited research investigating this relationship within the South African context.

The historic assets are heterogeneous and different to each other, and for this reason, consolidated valuation methodologies do not exist in practice or in the literature. It is, therefore, necessary to dwell on the study of a particular historic building type or category. The assessment process of the valuers of Venetian Villas was explored, focusing on the study of the valuation function construction. The paper investigated if a possible value function, based on the partition of the characteristics, which significantly influence the value, exists and it is generalizable to the whole set of Venetian Villas. The purpose of this paper is to contribute knowledge on the economic valuation of Venetian Villas.

An application of Hedonic Pricing study to a database of 71 Venetian Villas has been tested. This statistical procedure allowed the authors to discover which results in a percentage of property values can be attributed to the historical characteristics of a building. Using a multiple linear regression and its variables an analysis of residuals and data relating to the variance has been performed.

This research identifies and proposes, therefore, a valuation approach that can be generalizable to the whole set of Venetian Villas (over 4,000 properties). The models show that the most important variables which influence the value of the villas are: age, internal and external area, maintenance conditions, and author. This model could be used for future valuations of the same type of asset.

The model enables valuers to address better to the property valuation of the Venetian Villas through the valuation functions, which suggest which are the main features which focus in the case of a Venetian Villa valuation and what impact they have on the value asset. The model can be specifically used for valuation reports in the enhancement project of such properties.

The football industry is a most unusual one. Football clubs, unlike most other organisations, need to cooperate in order to provide a saleable product, a game. Companies can only enter the industry with the specific approval of those already within, and this approval is rarely given since it leads to the expulsion of existing members. The industry requires that less successful clubs be cross‐subsidised and restricts the payment of directors' fees and dividends. Until 1981/2 a minimum admission price was also stipulated. Such supportive measures contrast sharply with the nature of competition on the field of play in which there can be ‘only one winner’. The pursuit of playing success as a dominant objective means that few can ‘succeed’ in any one season, whereas in industries in which orthodox financial objectives are important several firms may succeed simultaneously.

The purpose of this study is to identify the preferred characteristics of buyers of single-family homes in Saudi Arabia with an emphasis on the city of Dammam.

Data were collected using face-to-face structured interviews conducted from November 2016 to May 2017 with 177 owners of single-family homes that were purchased between 2010 and the first quarter of 2017.

The findings indicate that homes can be divided into three types: villas, detached duplexes and semi-detached duplexes. Also, more than three-quarters of the respondents purchased their homes through mortgages from either lenders or the government. It seems we find that the advantages of the detached duplex, particularly its privacy level, over other types of single-family homes induce homebuyers to choose this home type.

In this study, the authors analyze housing preferences among various segments of the Saudi society, in the city of Dammam, to understand the housing supply in Saudi Arabia. Only a few studies have investigated the preferences of homebuyers in Saudi Arabia. Below the authors provide a literature review, discuss data and methods and results, as well as provide concluding remarks.