Poland is characterized by a relatively high level of homeowners (84% of population in 2018). The preference for ownership, as well as financial possibilities, are not balanced throughout the entire life cycle of a household. The scale of these differences, as well as the tendency to change over time, remains unknown. The subject of conducted research is to indicate how the structure of the tenure status of Poles changes over the life cycle of a household. This publication proposes the division of the household life cycle into the stages of formation, stabilization and reduction. The research on the structure of the tenure status of Poles was conducted for the period of 2006-2018. The analysis showed that, while the share of owner-occupiers increased significantly in Poland in the years 2006-2018, at the stage of forming a household rent begins to prevail. What is more, young people are more likely to choose market rent, and relocation to private housing is associated with having children or getting married. At the same time, there is no tendency to relocate to rented flats at the stage of household reduction in Poland.
This paper introduces a new approach to the sales comparison model for the valuation of real estate that can objectively estimate the coefficients associated with the explanatory price variables. The coefficients of the price adjustment process are estimated from the formulation of a quadratic programming model similar to the mean-variance model in the portfolio selection problem and are shown to be independent of the property to be valued. It is also shown that the sales comparison model should minimize the variance of the adjusted prices, and not their coefficient of variation as indicated by some national and international valuation regulations. The paper concludes with a case study on the city of Medellín, Colombia.
This research analyzes the relationship between housing and rental prices in 26 first-tier and second-tier cities in China before and after the policy of simultaneous rental and sales markets. The PVAR model and monthly panel data of these cities from June 2010 to December 2018 were employed. The study found that, before the policy of simultaneous rental and sales markets took effect, the housing and rental prices were relatively independent of each other, whereas the rental market in second-tier cities is affected more considerably by the sales market. After the enactment of the policy on simultaneous rental and sales markets, rental prices have a positive effect on housing prices, with this effect being more obvious in second-tier cities. The rental prices with the first-order lag have a significant negative impact on current rental price in first-tier cities. Considering the features of the housing market in different cities, the implementation of the simultaneous rental and sales markets policy needs to be more targeted and attention should be paid to preventing simultaneous irrational growth, both on the sales and rental markets.
The socio-economic development of municipalities is defined by a set of indicators in a period of interest and can be analyzed as a multivariate time series. It is important to know which municipalities have similar socio-economic development trends when recommendations for policy makers are provided or datasets for real estate and insurance price evaluations are expanded. Usually, key indicators are derived from expert experience, however this publication implements a statistical approach to identify key trends. Unsupervised machine learning was performed by employing K-means clusterization and principal component analysis for a dataset of multivariate time series. After 100 runs, the result with minimal summing error was analyzed as the final clusterization. The dataset represented various socio-economic indicators in municipalities of Lithuania in the period from 2006 to 2018. The significant differences were noticed for the indicators of municipalities in the cluster which contained the 4 largest cities of Lithuania, and another one containing 3 districts of the 3 largest cities. A robust approach is proposed in this article, when identifying socio-economic differences between regions where real estate is allocated. For example, the evaluated distance matrix can be used for adjustment coefficients when applying the comparative method for real estate valuation.
As the number of homes located in condominiums increases, investigations should be promoted to determine the implied price of additional amenities over the total price of the property. This study evaluated the impact of multi-attribute and construction variables on the value of condominiums in Costa Rica, using a hedonic pricing model of the amenities that influence the total price. Information from condominiums located in all provinces of the country was used to determine the importance of the variables studied. Through multiple regression analysis, it was determined that nine amenities explain the behavior of the total price. This study shows that the project’s internal and external variables have a significant effect on sales prices and consumers’ purchasing decisions. The most significant variables were income, construction area, access to a pool and gym, and the type of condominium.
The clamor for sustainable development and reduction of greenhouse gases led to the green concept which, in recent times, has gained significant momentum. To encourage the widespread development of green buildings, an understanding of the awareness, benefits, and hindrances for their adoption is necessary.
This is relevant now that concerns over climate change have led to an increasing global demand for sustainability within the built environment. While the discourse is still rather muted in Nigeria, this study will contribute to the ongoing effort to raise public awareness regarding green building development and the potential benefits by evaluating the opinion of professionals regarding the subject matter.
Structured questionnaires were distributed among five different professions in the built environment and information sourced includes the level/mode of awareness, benefits and bottleneck, and support for its development.
The survey results showed that 43.48% of the professionals advocated for the development of green construction in Nigeria. The benefits and bottlenecks were ranked according to their perceived importance. The study recommends public enlightenment on green education, enforcement of mandatory training, formulation and implementation of policies directed towards green building acceptability. This will help promote and protect the built environment, and reduce health hazards posed by conventional development.
Variance in the cost method of valuation as caused by certain variables is objectionable in the profession of estate surveying and valuation at both local and international best practices. The study aimed at determining the variables for the variance in the application of the cost method of valuation for estate surveying and valuation practice in Uyo. The sample of the population used for the research comprised 110 estate surveyors in Uyo. The survey method was used for the research. The sampling technique was purposive sampling. The data were analyzed using standard deviation and analysis of variance (ANOVA). The findings showed that depreciation rates of σ2 =113.974 and σ = 10.676 were over 60% of the total variance of values among estate surveyors and valuers. The construction rates and errors in manual measurements and computation of areas, volumes and dimensions showed σ2 = 6.004 and σ = 2.4503, which accounted for 15% of total variance. The study recommends the use of a regional-based scientific approach to measure depreciation for consistency and high precision. Automated techniques, such as GPS, AutoCAD, Google Earth pro, are recommended to minimize variance in measurements.
This paper assesses the impact of outbreaks from the perspective of volatility of Malaysian Listed Property Companies in mixed-asset portfolios, concentrating on periods of time between outbreaks. The real issue of this study is the health crisis that has troubled institutional investors, as it has already significantly impacted the returns on investments. Investors need to be better informed on the impact of health outbreaks on investments in order to minimize their impact. To assess the impact of the outbreaks, the GARCH method has been employed to examine the dynamic volatility of listed property companies in mixed-asset portfolios. The volatility level will give investors better information from point of view of the dynamics of volatility of the Malaysian listed property companies’ performance within mixed-asset portfolios. The findings show that listed property companies demonstrate high volatility compared to other mixed-asset portfolios during the periods of outbreaks. This indicates Malaysian listed property companies were the most volatile investment in mixed-asset portfolios. This empirical study will contribute significantly to institutional investors, especially in terms of the investment decision-making process during outbreaks.
Poland is characterized by a relatively high level of homeowners (84% of population in 2018). The preference for ownership, as well as financial possibilities, are not balanced throughout the entire life cycle of a household. The scale of these differences, as well as the tendency to change over time, remains unknown. The subject of conducted research is to indicate how the structure of the tenure status of Poles changes over the life cycle of a household. This publication proposes the division of the household life cycle into the stages of formation, stabilization and reduction. The research on the structure of the tenure status of Poles was conducted for the period of 2006-2018. The analysis showed that, while the share of owner-occupiers increased significantly in Poland in the years 2006-2018, at the stage of forming a household rent begins to prevail. What is more, young people are more likely to choose market rent, and relocation to private housing is associated with having children or getting married. At the same time, there is no tendency to relocate to rented flats at the stage of household reduction in Poland.
This paper introduces a new approach to the sales comparison model for the valuation of real estate that can objectively estimate the coefficients associated with the explanatory price variables. The coefficients of the price adjustment process are estimated from the formulation of a quadratic programming model similar to the mean-variance model in the portfolio selection problem and are shown to be independent of the property to be valued. It is also shown that the sales comparison model should minimize the variance of the adjusted prices, and not their coefficient of variation as indicated by some national and international valuation regulations. The paper concludes with a case study on the city of Medellín, Colombia.
This research analyzes the relationship between housing and rental prices in 26 first-tier and second-tier cities in China before and after the policy of simultaneous rental and sales markets. The PVAR model and monthly panel data of these cities from June 2010 to December 2018 were employed. The study found that, before the policy of simultaneous rental and sales markets took effect, the housing and rental prices were relatively independent of each other, whereas the rental market in second-tier cities is affected more considerably by the sales market. After the enactment of the policy on simultaneous rental and sales markets, rental prices have a positive effect on housing prices, with this effect being more obvious in second-tier cities. The rental prices with the first-order lag have a significant negative impact on current rental price in first-tier cities. Considering the features of the housing market in different cities, the implementation of the simultaneous rental and sales markets policy needs to be more targeted and attention should be paid to preventing simultaneous irrational growth, both on the sales and rental markets.
The socio-economic development of municipalities is defined by a set of indicators in a period of interest and can be analyzed as a multivariate time series. It is important to know which municipalities have similar socio-economic development trends when recommendations for policy makers are provided or datasets for real estate and insurance price evaluations are expanded. Usually, key indicators are derived from expert experience, however this publication implements a statistical approach to identify key trends. Unsupervised machine learning was performed by employing K-means clusterization and principal component analysis for a dataset of multivariate time series. After 100 runs, the result with minimal summing error was analyzed as the final clusterization. The dataset represented various socio-economic indicators in municipalities of Lithuania in the period from 2006 to 2018. The significant differences were noticed for the indicators of municipalities in the cluster which contained the 4 largest cities of Lithuania, and another one containing 3 districts of the 3 largest cities. A robust approach is proposed in this article, when identifying socio-economic differences between regions where real estate is allocated. For example, the evaluated distance matrix can be used for adjustment coefficients when applying the comparative method for real estate valuation.
As the number of homes located in condominiums increases, investigations should be promoted to determine the implied price of additional amenities over the total price of the property. This study evaluated the impact of multi-attribute and construction variables on the value of condominiums in Costa Rica, using a hedonic pricing model of the amenities that influence the total price. Information from condominiums located in all provinces of the country was used to determine the importance of the variables studied. Through multiple regression analysis, it was determined that nine amenities explain the behavior of the total price. This study shows that the project’s internal and external variables have a significant effect on sales prices and consumers’ purchasing decisions. The most significant variables were income, construction area, access to a pool and gym, and the type of condominium.
The clamor for sustainable development and reduction of greenhouse gases led to the green concept which, in recent times, has gained significant momentum. To encourage the widespread development of green buildings, an understanding of the awareness, benefits, and hindrances for their adoption is necessary.
This is relevant now that concerns over climate change have led to an increasing global demand for sustainability within the built environment. While the discourse is still rather muted in Nigeria, this study will contribute to the ongoing effort to raise public awareness regarding green building development and the potential benefits by evaluating the opinion of professionals regarding the subject matter.
Structured questionnaires were distributed among five different professions in the built environment and information sourced includes the level/mode of awareness, benefits and bottleneck, and support for its development.
The survey results showed that 43.48% of the professionals advocated for the development of green construction in Nigeria. The benefits and bottlenecks were ranked according to their perceived importance. The study recommends public enlightenment on green education, enforcement of mandatory training, formulation and implementation of policies directed towards green building acceptability. This will help promote and protect the built environment, and reduce health hazards posed by conventional development.
Variance in the cost method of valuation as caused by certain variables is objectionable in the profession of estate surveying and valuation at both local and international best practices. The study aimed at determining the variables for the variance in the application of the cost method of valuation for estate surveying and valuation practice in Uyo. The sample of the population used for the research comprised 110 estate surveyors in Uyo. The survey method was used for the research. The sampling technique was purposive sampling. The data were analyzed using standard deviation and analysis of variance (ANOVA). The findings showed that depreciation rates of σ2 =113.974 and σ = 10.676 were over 60% of the total variance of values among estate surveyors and valuers. The construction rates and errors in manual measurements and computation of areas, volumes and dimensions showed σ2 = 6.004 and σ = 2.4503, which accounted for 15% of total variance. The study recommends the use of a regional-based scientific approach to measure depreciation for consistency and high precision. Automated techniques, such as GPS, AutoCAD, Google Earth pro, are recommended to minimize variance in measurements.
This paper assesses the impact of outbreaks from the perspective of volatility of Malaysian Listed Property Companies in mixed-asset portfolios, concentrating on periods of time between outbreaks. The real issue of this study is the health crisis that has troubled institutional investors, as it has already significantly impacted the returns on investments. Investors need to be better informed on the impact of health outbreaks on investments in order to minimize their impact. To assess the impact of the outbreaks, the GARCH method has been employed to examine the dynamic volatility of listed property companies in mixed-asset portfolios. The volatility level will give investors better information from point of view of the dynamics of volatility of the Malaysian listed property companies’ performance within mixed-asset portfolios. The findings show that listed property companies demonstrate high volatility compared to other mixed-asset portfolios during the periods of outbreaks. This indicates Malaysian listed property companies were the most volatile investment in mixed-asset portfolios. This empirical study will contribute significantly to institutional investors, especially in terms of the investment decision-making process during outbreaks.