Search Results

1 - 10 of 83 items :

  • "residential real estate" x
Clear All

Reference ANGLIN P.M., WIEBE R., 2013, Pricing in an Illiquid Real Estate Market , Journal of Real Estate Research vol. 35, issue 1, pages 83-102. BEŁEJ M., 2013, Catastrophe Theory in Explaining Price Dynamics on the Real Estate Market , Real Estate Management and Valuation. Volume 21, Issue 3, Pages 51–61, ISSN (Online) 1733-2478, DOI: 10.2478/remav-2013-0026, October. BERACHA E., WINTOKI M.B., 2013, Forecasting Residential Real Estate Price Changes from Online Search Activity , Journal of Real Estate Research vol. 35, issue 3, pages 283-312. CHEN M

Abstract

The aim of the present article is to research the availability of rules in the change of the prices of the most spread flats in the neighbourhoods of Sofia. The results from a research in the change of the offered prices of the residential real estates by months for an annual period of time (from October 2016 to September 2017) have been presented. The presence of an uprising tendency for the bigger share of the neighbourhoods has been proven. For those of them where there is a tendency missing are calculated indices for seasonality by the method of the mean chronological value. Upcoming seasonal deviations of the mean monthly prices from the average annual by the separate types of flats (studios, one-bedroom and two-bedroom flats), whereas the highest values are registered in the summer and the early autumn - the months August and September, and the lowest in the late autumn - the months October and November. The most significant are the fluctuations in the variation of the prices in the studios, followed by the two-bedroom flats and one-bedroom flats. The results could be useful to some potential investors.

Abstract

The paper presents the results of a comparison of the development of mean offer and transaction prices per 1m2 in primary and secondary residential real estate markets in 16 provincial capital cities in Poland, during the time period from the 3rd quarter of 2006 to the 3rd quarter of 2012. The quarterly data came from the residential real estate price database of the National Bank of Poland (NBP). The research concerns the dependencies in the residential real estate market between the following four price categories: offer prices in the primary market, transaction prices in the primary market, offer prices in the secondary market and transaction prices in the secondary market. For each city, the dynamics of each price category per 1m2, the existence of a linear correlation between the individual mean price categories in chosen subintervals and their convergence and variability in time were studied and compared.

Abstract

We conduct an exploratory analysis using proxy measures of cross-sectional returns and rental yields in residential real estate. Asset pricing models predict that expected returns should exhibit some sensitivity to one or several fundamental variables that represent a common source of undiversifiable risk. Residential real estate, just like works of art and collectibles, is unique because it represents both an investment vehicle and a durable consumption good. Its pricing and returns should thus reflect both the benefits from portfolio diversification and the effect of supply and demand. In this paper, we investigate the variation in proxy returns and proxy rental yields across 34 major European cities, using a handful of independent variables that should account for the influence of market risk, inflation, and liquidity. In spite of obvious limitations stemming from our sample, we find that the explanatory power of our model is unusually high for a cross-sectional data analysis. Some of our findings concur with other studies showing that in spite of strong segmentation, real estate markets respond to the same structural risk factors. A good portion of our results, however, is hard to explain and interpret. Either we need to take into account cultural differences between Eastern and Western Europe as part of a behavioral approach, or we have to concede that we have been misled by the mismatch in the level of aggregation and the crude estimation of the dependent variables.

:] Gigerenzer G., Selten R.(eds.) Bounded Rationality: The Adaptive Toolbox, MIT Press, Cambridge 2001, pp. 124–145. R ącka I., 2015, Czynniki atrakcyjności nieruchomości mieszkaniowych na obszarach podmiejskich Kalisza (Attractiveness Factors of Residential Real Estate in the Suburban Areas of Kalisz) [in Polish], Problemy Rynku Nieruchomości (Problems of the Real Estate Market) Vol. 2/2015, pp. 29-37. R ieskamp J., H offrage U., 1999, When do People Use Simple Heuristics, and How Can we Tell? [in:] Gigerenzer G., Todd P. M. (eds.) Simple Heuristics that Make us Smart

Abstract

The understanding of price-setting attributes operating on local real estate market is not only an essential element of property appraisers’ work, it can also greatly assist the professional activities of real estate agents. However, its primary importance is for the market – facilitating the decision-making processes of developers (developers become aware of the buyers’ expectations and preferences, making it possible to more accurately form market offers and pricing strategy).

With the use of computer-assisted interviewing, a questionnaire was designed to find out students’ preferences in the housing market of large Polish cities. The research was undertaken at six universities: Nicolaus Copernicus University in Torun, Poznan University of Economics, Wroclaw Medical University, Wroclaw University of Environmental and Life Sciences, University of Technology and Life Sciences in Bydgoszcz, and President Stanislaw Wojciechowski Higher Vocational State School in Kalisz. At each university, the survey was carried out on two groups of students: one included those who had chosen specializations related to the real estate market, the other one – students who did not explore the subject of the real estate market in their field of studies.

The research can make a significant contribution to the problems of real estate market analysis. The results are the first part of a broader concept of research, which ultimately aims to internationalize the findings.

Application Of The Hedonic Method, Actual Problems Of Economics. Voicu C., Seiler M. J., 2013, Understanding Systematic Risk In Real Estate Markets, Journal Of Housing Research, 22(2), Pp. 165-201. Wilson P.I, Okunev J, Ta G., 1996, Are Real Estate And Securities Markets Integrated: Some Australian Evidence, Journal Of Property Valuation And Investment 14, Pp. 119- 132. Wolski R., 2014, Application Of Beta Coefficient In The Market Of Direct Residential Real Estate Investments, Real Estate Management And Valuation, Vol. 22, No. 2, Pp. 13-21. Wolski R. 2017, Risk And Return

Abstract

The economy is subject to periodic changes in activity, which is apparent in the financial situation of households and enterprises. However, the recent economic crisis has been particularly severe. After the great increase in economic activity, which in many countries was connected with the boom in the real estate market, it experienced a sudden turn for the worse, including the broadly understood construction sector. This contributed to a slowdown of the growth rate, or even a permanent economic downturn. The authors have undertaken an analysis of the situation in the construction sector and the condition of residential real estate markets in selected Central European countries, and next, on the basis of a database on the financial situation of selected construction companies constructing buildings in those countries, searched for an answer to the question of how much the construction sector and the analyzed enterprises changed their activity in the recent years. For the purpose of the analysis, a database of over 340 entities from the Czech Republic, Poland, Slovakia and Hungary was created. The work is of a comparative nature, which allows the scale of the processes studied in the individual countries to be identified.

Abstract

The research process aimed at building regression models, which helps to valuate residential real estate, is presented in the following article. Two widely used computational tools i.e. the classical multiple regression and regression models of artificial neural networks were used in order to build models. An attempt to define the utilitarian usefulness of the above-mentioned tools and comparative analysis of them is the aim of the conducted research. Data used for conducting analyses refers to the secondary transactional residential real estate market.

Abstract

The study is concerned with an examination of resource distribution in order to promote sustainable development of housing sector in the context of evolving residential real estate market after the economic recession period in Latvia. The statistical and comparative analysis methods have mainly been applied in the study, and the recommendations on the implementation of conceptual solutions for promoting the efficient management of housing sector according to the public needs have been provided. The findings of the study may significantly contribute when improving the housing policy and appropriate institutional environment in Latvia.