scholarly journals Urban Greenery as a Component of Real Estate Value

2016 ◽  
Vol 24 (4) ◽  
pp. 79-87 ◽  
Author(s):  
Agnieszka Szczepańska ◽  
Iwona Krzywnicka ◽  
Grzegorz Lemański
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Urban Environments ◽  
Market Prices ◽  
The Real Estate ◽  
Transaction Prices ◽  
Urban Greenery ◽  
The Real Estate Market ◽  
Green Areas ◽  
Questionnaire Studies

Abstract Due to the specific characteristics of cities, such as the intensity of the use of space, the supply of green areas is limited. These areas are subjected to constant pressure (demand for new transportation or construction functions), which usually results in their reduction. As a consequence of this, green areas have become a limited asset in urban environments. City dwellers, seeking a high quality of life in the urban environment, pay attention to the proximity of greenery to their place of residence. This is, therefore, a factor that greatly influences market prices of residential real estate. In the study, the dependency of transaction prices of residential premises on the vicinity of urban greenery was subjected to analysis. Additionally, questionnaire studies were conducted with respect to the evaluation of the significance of environmental factors when choosing a place to live, which translates over to the decisions made by consumers on the real estate market.

scholarly journals Evaluation of the Applicability of Statistical Methods in Studies on Price Dynamics on the Real Estate Market

2013 ◽  
Vol 21 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Sebastian Kokot ◽  
Marcin Bas
Keyword(s):  
Real Estate ◽  
Traditional Approach ◽  
Real Estate Market ◽  
Price Dynamics ◽  
The Real ◽  
The Real Estate ◽  
Transaction Prices ◽  
Time Period ◽  
The Real Estate Market ◽  
Real Estate Prices

Abstract The specific character of the real estate market is the reason why observations of transaction prices seen as statistical variables are taken in a non-standard way. In the traditional approach each time period or specific moments of time are attributed with one observation of a studied variable per one object. In the case of the real estate market, this is not possible since transactions relate to different objects, i.e., properties, and occur at irregular, or even random, moments. This is why traditional methods used to examine the dynamics of economic phenomena must be adapted to specific conditions on the real estate market. Keeping that in mind, the aim of this paper is to adapt classical statistical examination methods of dynamics to specific conditions of the real estate market followed by the actual examination of the dynamics of real estate prices in three sub-segments of the housing market in Szczecin. On its basis, the authors evaluate various methods of examining real estate price dynamics in terms of their applicability in real estate appraisal procedures and, in a broader perspective, present characteristic phenomena that can be observed on the real estate market.

scholarly journals Use of Statistical Models for Simulating Transactions on the Real Estate Market

2015 ◽  
Vol 23 (2) ◽  
pp. 102-111 ◽  
Author(s):  
Radosław Cellmer ◽  
Katarzyna Szczepankowska
Keyword(s):  
Probability Distribution ◽  
Real Estate ◽  
Statistical Models ◽  
Real Estate Market ◽  
Model Parameters ◽  
The Real ◽  
The Real Estate ◽  
Transaction Prices ◽  
The Real Estate Market ◽  
Real Estate Prices

Abstract The regularities and relations between real estate prices and the factors that shape them may be presented in the form of statistical models, thanks to which the diagnosis and prediction of prices is possible. A formal description of empirical observation presented in the form of regressive models also offers a possibility for creating certain phenomena in a virtual dimension. Market phenomena cannot be fully described with the use of determinist models, which clarify only a part of price variation. The predicted price is, in this situation, a special case of implementing a random function. Assuming that other implementations are also possible, regressive models may constitute a basis for simulation, which results in the procurement of a future image of the market. Simulation may refer both to real estate prices and transaction prices. The basis for price simulation may be familiarity with the structure of the analyzed market data. Assuming that this structure has a static character, simulation of real estate prices is performed on the basis of familiarity with the probability distribution and a generator of random numbers. The basis for price simulation is familiarity with model parameters and probability distribution of the random factor. The study presents the core and theoretical description of a transaction simulation on the real estate market, as well as the results of an experiment regarding transaction prices of office real estate located within the area of the city of Olsztyn. The result of the study is a collection of virtual real properties with known features and simulated prices, constituting a reflection of market processes which may take place in the near future. Comparison between the simulated characteristic and actual transactions in turn allows the correctness of the description of reality by the model to be verified.

scholarly journals Diversified Price Dynamics in some Sub-Segments of the Housing Market

2015 ◽  
Vol 15 (1) ◽  
pp. 162-173
Author(s):  
Sebastian G. Kokot
Keyword(s):  
Real Estate ◽  
Price Index ◽  
Real Estate Market ◽  
Quality Of Data ◽  
The Real ◽  
The Real Estate ◽  
Transaction Prices ◽  
The Real Estate Market ◽  
Price Movements

Abstract The observation of price movements on the real estate market is an extremely difficult task as we have to face problems belonging to two spheres. The first of them is the specific nature of real estate as marketable objects and of the real estate market itself. The second one is the character and quality of data on real estate transaction prices. In this article the author, based on an empirical study, attempts to prove that even in a single segment of a local real estate market the prices in individual sub-segments can fluctuate with different intensity. The range of price movements can be so vast that it seems pointless to apply a single averaged price index for the whole segment, and usually that is what analysts do.

scholarly journals People and the City: Urban Fragility and the Real Estate-Scape in a Neighborhood of Catania, Italy

2020 ◽  
Vol 12 (13) ◽  
pp. 5409 ◽  
Author(s):  
Maria Rosa Trovato ◽  
Claudia Clienti ◽  
Salvatore Giuffrida
Keyword(s):  
Real Estate ◽  
Social Life ◽  
Life Quality ◽  
Real Estate Market ◽  
Market Prices ◽  
The Real ◽  
The Real Estate ◽  
The Social ◽  
The Real Estate Market ◽  
Civil Economy

Urban/social fragility is the main focus of most studies on civil economy involving the commitment of politics in the prospect of integrating and somehow guiding an ordered development of and ordered communities. The contemporary city is strongly influenced by the incommunicability between the social system and environment, the latter more and more, including urban and societal components. This study tries to outline a comparative social-urban profile of Picanello, a popular central neighborhood of Catania, in Sicily, Italy, characterized by the combination of different urban and social life-quality levels, thus expressing a heterogeneous vulnerability/resilience profile. The analysis is placed in the urban planning context and aims to: (1) Denotative a pattern that considers the different fragility/resilience descriptive indices; and (2) connotative a pattern of the human and urban dimensions of the social capital asset. This analysis was performed by implementing a multidimensional pattern allowing us to place the neighborhood in a ranking of the neighborhoods of Catania, thus highlighting strength and weakness under different respects. Furthermore, the monetary measurements of this vulnerability/resilience profile, was carried by means of the structured observation of the real estate market. Fuzzy k-medoids cluster analyses have been comparatively performed—showing and mapping the relationships between urban value density and real estate market prices tensions.

scholarly journals The Use of the Geographically Weighted Regression for the Real Estate Market Analysis

2012 ◽  
Vol 11 (1) ◽  
pp. 19-32 ◽  
Author(s):  
Radosław Cellmer
Keyword(s):  
Real Estate ◽  
Geographically Weighted Regression ◽  
Real Estate Market ◽  
Weighted Regression ◽  
The Real ◽  
The Real Estate ◽  
Transaction Prices ◽  
The Real Estate Market ◽  
Market Transaction ◽  
Grading Scale

Abstract The article presents a method for developing geographically weighted regression models for analyzing real estate market transaction prices and evaluating the effect of selected property attributes on the prices and value of real estate. The property attributes were evaluated on a grading scale to determine the relative (percentage) indicators characterizing the relationships on the real estate market. The market data were analyzed to evaluate the influence of infrastructure availability on the prices of land in Olsztyn. The results were used to assess the effect of every utility service on the property transaction prices.

scholarly journals The Use of Indicator Kriging for Analyzing Prices in the Real Estate Market

2016 ◽  
Vol 24 (4) ◽  
pp. 5-15
Author(s):  
Katarzyna Kobylińska ◽  
Radosław Cellmer
Keyword(s):  
Real Estate ◽  
Spatial Information ◽  
Real Estate Market ◽  
Indicator Kriging ◽  
Geostatistical Simulation ◽  
The Real ◽  
The Real Estate ◽  
Geostatistical Methods ◽  
Transaction Prices ◽  
The Real Estate Market

Abstract The patterns and relations between real estate prices and the factors which shape them can be presented, among others, in the form of traditional statistical models, as well as by means of geostatistical methods. In the case of research involving the diagnosis and prediction of transaction prices, the key role is played by the spatial aspect, hence the particular significance of geostatistical methods using spatial information. The main goal of the conducted research is to determine the probability of the occurrence of a price in a given location in space by means of geostatistical simulation - indicator kriging. Indicator kriging does not use the entirety of information included in a dataset, and can, therefore, be useful in situations when the assumptions involving the spatial stationarity of the examined phenomenon are not fulfilled by an entire dataset, but are fulfilled by a certain part of the set. The maps of the probability with which a regionalized variable (price) takes on particular values, limited by arbitrarily selected cutoff values, were prepared by means of indicator kriging. An alternative approach to the preparation of price probability maps is the determination of the spatial distribution of areas in which, with the assumed probability, the value of the price falls within the predetermined ranges. The paper presents both the essence as well as a theoretical description of the geostatistical simulation of a transaction on the real estate market, as well as the results of an experiment involving the transaction prices of real properties located in the north-western part of the city of Olsztyn. The result of the research is a set of virtual information about the places in which the transactions have occurred and about the prices of real estate, constituting a reflection of the market processes which may take place in the near future.

scholarly journals The cadastral value as a tool for monitoring the real estate market value

2021 ◽  
Vol 37 (1) ◽  
pp. 84-108
Author(s):  
Lyudmila Gadasina ◽  
◽  
Mikhail Laskin ◽  
Ekaterina Zaytseva ◽  
◽  
...  
Keyword(s):  
Real Estate ◽  
Market Value ◽  
Real Estate Market ◽  
Theory And Practice ◽  
Two Dimensional ◽  
Market Prices ◽  
Market Data ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market

In the theory and practice of real estate valuation, in analytical studies of the dynamics of real estate markets there is a problem of tracking changes in market prices. The apparent simplicity of this task leads to the fact that in everyday practice both market participants and professional analysts are satisfied with observations of average prices. The advantage of this traditional approach is computational simplicity. However, in the conditions of presence of a large number of special software and extensive statistical material can be used more complex research methods. The purpose of this article is to research big current market data of real estate objects and compare these data with the cadastral value determined in accordance with Russian legislation as the market value at the specified date. In this regard, there are problems associated with the multidimensional distribution of market prices and cadastral values. The article presents the method of calculation of changes of the real estate market prices on the basis of comparison of two-dimensional prices distributions of offers and cadastral prices for two periods. The main problem in studying the dynamics of real estate market prices is the inability to track the change in market prices for each property, as objects are constantly put up for sale and removed from it. The work carried out in the Russian Federation in 2014 to establish the cadastral value of real estate opens opportunity to analyze two-dimensional distributions of current market and cadastral prices and to assess the dynamic characteristics of the market for any real estate objects. The main result of article is the method which allows to apprise the market value of real estate in real time when new market data come by their comparison with the previously established cadastral value. Cadastral value is assumed to be defined as market value at the valuation date.

scholarly journals Speculative Bubbles and their Components on the Real Estate Market–A Preliminary Analysis

2016 ◽  
Vol 24 (1) ◽  
pp. 87-99 ◽  
Author(s):  
Justyna Brzezicka
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Market Prices ◽  
Speculative Bubble ◽  
The Real ◽  
The Real Estate ◽  
Speculative Bubbles ◽  
Price Bubbles ◽  
The Real Estate Market ◽  
Over Time

Abstract Various speculative phenomena arise on the real estate market, and the speculative bubble (SB) is one of the best known events of the type. Speculative bubbles still have many unidentified components, and are characterized by high research potential due to the multiple factors responsible for bubble creation, as well as considerable practical implications on account of the multivariate results describing the real estate market (REM) and its surroundings. Speculative price bubbles are associated mainly with changes in price trends on the real estate market. A thorough analysis of a speculative bubble over time demonstrates trend changes also in other research categories which constitute bubble components and elements of the real estate market and its surroundings. The above criteria were used to identify a new research category termed speculative bubble components (SBC). The research hypothesis states that speculative bubbles should be analyzed based not only on prices, but also on bubble components. The objectives of this study were to: 1) classify speculative phenomena on the REM, 2) describe a speculative bubble based on market prices and SBC, and 3) present the results of a study evaluating speculative bubble components in relation to market prices, and discuss the trajectories of the analyzed research categories over time. This study attempts to determine whether a speculative bubble can be analyzed in view of its components, and which elements of the real estate market and its surroundings can be classified as SBC. Attempts were also made to identify a research method that supports the identification of SBC variables and classification of variables into groups, and explains market prices in view of the identified variables and groups. The research relies on a review of literature in the theoretical part and statistical analyses in the experimental part. The results will broaden our knowledge of the mechanisms behind speculative phenomena on the real estate market.

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