scholarly journals ANALYSIS OF PRICING FACTORS IN REAL ESTATE MARKET

2019 ◽  
Vol 6 (2) ◽  
pp. 79-85
Author(s):  
Maria Chernyshova ◽  
Arina Malenkaya ◽  
Tatyana Mezhuyeva
Keyword(s):  
Real Estate ◽  
Supply And Demand ◽  
Market Price ◽  
Real Estate Market ◽  
Physical Factors ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Pricing Factors ◽  
Real Estate Prices

In the real estate market price depends on supply and demand is formed under the influence of social, economic and physical factors. The article presents the results of the analysis of pricing factors in the real estate market, the forecast of real estate prices in 2019.

scholarly journals O Mercado Imobiliário para Locação em Ouro Preto, Minas Gerais

2018 ◽  
Vol 4 (1) ◽  
pp. 47
Author(s):  
Rosangela A. S. Fernandes ◽  
Thais Pinto da Rocha Torres ◽  
Fábio José Rodrigues Ferreira
Keyword(s):  
Real Estate ◽  
Supply And Demand ◽  
Real Estate Market ◽  
Minas Gerais ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Economic Forces ◽  
Real Estate Prices

Nesse artigo, realizou-se uma análise descritiva e estatística das variáveis que representam o mercado imobiliário para locação na cidade de Ouro Preto. Além disso, realizou-se uma caracterização das duas forças econômicas (oferta e demanda) que influenciam o funcionamento deste mercado. Verificou-se que os imóveis disponíveis para locação no município apresentam amplo conjunto de peculiaridades. Deve-se ressaltar que as características do município (cidade histórica, universitária e presença da atividade mineradora) influenciam diretamente sobre este mercado. Existe uma escassez de imóveis com características que atendam a demanda dos potenciais locadores. Os preços dos imóveis são relativamente elevados. The Real Estate Market For Lease in Ouro Preto, Minas Gerais In this article, a descriptive and statistical analysis was performed on the variables that represent the real estate market for rent in the city of Ouro Preto. In addition, a characterization of the two economic forces (supply and demand) that influenced the functioning of this market was carried out. It was verified that the properties available for rent in the municipality present a wide set of peculiarities. It should be noted that the characteristics of the municipality (historical city, university and presence of mining activity) directly influence this market. There is a shortage of properties with features that meet the demand of potential landlords. Real estate prices are relatively high. Keywords: Real estate market. Ouro Preto. Demand. Offer. El Mercado Inmobiliario para Alquiler en Ouro Preto, Minas Gerais En ese artículo, se realizó un análisis descriptivo y estadístico de las variables que representan el mercado inmobiliario para alquiler en la ciudad de Ouro Preto. Además, se realizó una caracterización de las dos fuerzas económicas (oferta y demanda) que influencian el funcionamiento de este mercado. Se verificó que los inmuebles disponibles para alquiler en el municipio presentan un amplio conjunto de peculiaridades. Se debe resaltar que las características del municipio (ciudad histórica, universitaria y presencia de la actividad minera) influencian directamente sobre este mercado. Existe una escasez de inmuebles con características que atiendan la demanda de los potenciales locadores. Los precios de los inmuebles son relativamente altos.

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.

Content Strategy in Management of Communications

2021 ◽  
Vol 12 (3) ◽  
pp. s232-s242
Author(s):  
Olha Balabash ◽  
Valerii Ilin ◽  
Nataliia Poprozman ◽  
Inna Kuznetsova ◽  
Dmytro Shushpanov ◽  
...  
Keyword(s):  
Real Estate ◽  
Supply And Demand ◽  
Real Estate Market ◽  
The Real ◽  
The Real Estate ◽  
Construction Company ◽  
The Real Estate Market ◽  
Content Strategy ◽  
Alternative Sources ◽  
The Web

The aim of the article is to substantiate the theoretical and methodological support for the formation and implementation of the content strategy of a construction company.  The article considers the formation of content strategy, its place in the management of communications of the enterprise. The following methods were used in the course of the research: the method of statistical analysis (for the analysis of the tendency of the real estate market development of Ukraine); analysis, synthesis, logical and theoretical generalization – to specify the factors of supply and demand in the real estate market; graphical method, table method (to visualize the results of the study); method of calculating specific indicators of communicative activity (CPC (Cost Per Click), CPA (Cost Per Action), CTR (Click Through Rate)) for analysing trends in traffic to the company's website and identifying alternative sources of traffic. The specifics of developing a content strategy taking into account the peculiarities of the company's construction industry are shown. An analysis of trends in the real estate market of Ukraine is carried out based on official statistics. The dynamics of the volume of construction works is analysed, the housing price indices in Ukraine are determined and the factors of supply and demand in the real estate market are specified. The analysis of communicative efficiency of the web-system of the construction company is carried out, as a result of which, measures for improvement of management of its external communications by substantiation of variants of advancement on the Internet are developed. This is done by analysing trends in traffic to the company's website and identifying alternative sources of traffic. The developed measures will increase the efficiency of management of the construction company. The article proposed a procedure for analysing the web-system of a construction company based on attendance indicators and search activity, which allows identifying alternative sources of traffic and developing appropriate measures to manage communications of the enterprise in order to achieve their efficiency. The practical significance lies in the fact that the developed recommendations for the formation of the communication strategy of the construction company can be further used to intensify the promotion of the company's services in the real estate market and attract investment.

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 The use of mean values for reporting real estate prices

2021 ◽  
Vol 64 (04) ◽  
pp. 513-532
Author(s):  
Melita Ulbl ◽  
Andraž Muhič
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Mean Values ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Special Challenge ◽  
The Republic ◽  
Real Estate Prices ◽  
The One

The proper and unambiguous reporting of the real estate market is one of the main requirements for ensuring its transparency. Reporting on the prices of real estate realised on the market is a special challenge here. For this purpose, averages are generally used, requiring both the reporter and the reader to be well acquainted with the rules of individual types of averages on the one hand and the specificities and heterogeneity of the real estate market on the other. In this paper, we present the specifics of individual mean values that can be used for this purpose. These characteristics are analysed in more detail and presented in the case of the Slovenian housing market. The purpose of this paper is to present the dilemmas faced in Slovenia when reporting on real estate prices on the market and present the solutions that the Surveying and Mapping Authority of the Republic of Slovenia will begin to introduce in its reports on the real estate market.

scholarly journals Level of Foreign Direct Investments and Transparency of Polish and Global Real Estate Market

2013 ◽  
Vol 21 (2) ◽  
pp. 22-28 ◽  
Author(s):  
Karolina Czechowska
Keyword(s):  
Real Estate ◽  
Supply And Demand ◽  
Real Estate Market ◽  
Easy Access ◽  
Foreign Direct Investments ◽  
The Real ◽  
The Real Estate ◽  
Market Transparency ◽  
Property Prices ◽  
The Real Estate Market

Abstract The article aimed to present the dependencies between the transparency of the real estate market and the level of foreign investments realized on it. For developers on the real estate market, a key element, other than potential profits, may be the market’s transparency. The main feature of a transparent real estate market is easy access to credible data concerning supply and demand, rent, property prices, transactions, vacant houses and capitalization rates that could be the basis for analysis. Market transparency does not guarantee the success of an investment, but considerably influences investment decisions and the level of risk connected with them.

scholarly journals Assessing the Possibility of Implementing Tools of Technical Analysys for Real Estate Market Analysis

2016 ◽  
Vol 24 (2) ◽  
pp. 85-96
Author(s):  
Justyna Brzezicka
Keyword(s):  
Real Estate ◽  
Capital Market ◽  
Traditional Approach ◽  
Supply And Demand ◽  
Technical Analysis ◽  
Real Estate Market ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market ◽  
The Capital Market

Abstract Technical analysis (TA) and its different aspects are widely used to study the capital market. In the traditional approach, this analysis is used to determine the probability of changes in current rates on the basis of their past changes, accounting for factors which had, have or may have an influence on shaping the supply and demand of a given asset. In the practical sense, TA is a set of techniques used for assessing the value of an asset based on the analysis of the asset's trajectories as well as statistical tools. The work assumes three research objectives: 1) a review of tools applied in technical analysis, 2) an attempt at implementing selected tools of technical analysis for analyzing the real estate market (REM), 3) an assessment of the possibilities of implementing selected tools for assessing the real estate market on the example of the Olsztyn residential real estate market. The research hypothesis is a presumption regarding the possibility of implementing tools used in traditional technical analysis for the analysis of the real estate market accounting for the natural limitations and specifics of the market. The work extends scientific achievements in the part regarding the methods and tools of analyzing the real estate market as well as the connections between the real estate market and the capital market.

scholarly journals Identifying Real Estate Opportunities Using Machine Learning

2018 ◽  
Vol 8 (11) ◽  
pp. 2321 ◽  
Author(s):  
Alejandro Baldominos ◽  
Iván Blanco ◽  
Antonio Moreno ◽  
Rubén Iturrarte ◽  
Óscar Bernárdez ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Estate ◽  
Housing Prices ◽  
Market Price ◽  
Real Estate Market ◽  
Support Vector ◽  
Regression Problem ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market

The real estate market is exposed to many fluctuations in prices because of existing correlations with many variables, some of which cannot be controlled or might even be unknown. Housing prices can increase rapidly (or in some cases, also drop very fast), yet the numerous listings available online where houses are sold or rented are not likely to be updated that often. In some cases, individuals interested in selling a house (or apartment) might include it in some online listing, and forget about updating the price. In other cases, some individuals might be interested in deliberately setting a price below the market price in order to sell the home faster, for various reasons. In this paper, we aim at developing a machine learning application that identifies opportunities in the real estate market in real time, i.e., houses that are listed with a price substantially below the market price. This program can be useful for investors interested in the housing market. We have focused in a use case considering real estate assets located in the Salamanca district in Madrid (Spain) and listed in the most relevant Spanish online site for home sales and rentals. The application is formally implemented as a regression problem that tries to estimate the market price of a house given features retrieved from public online listings. For building this application, we have performed a feature engineering stage in order to discover relevant features that allows for attaining a high predictive performance. Several machine learning algorithms have been tested, including regression trees, k-nearest neighbors, support vector machines and neural networks, identifying advantages and handicaps of each of them.

scholarly journals Housing Affordability Index: Real Estate Market and Housing Situations

2014 ◽  
Vol 11 ◽  
pp. 527-535
Author(s):  
Leopoldo Sdino ◽  
Paola Castagnino
Keyword(s):  
Real Estate ◽  
Public Administration ◽  
Supply And Demand ◽  
Real Estate Market ◽  
Housing Affordability ◽  
Territorial Development ◽  
The Real ◽  
The Real Estate ◽  
Synthetic Index ◽  
The Real Estate Market

One of the main problems in defining strategies for the real estate market (whether in terms of planning and, therefore, in public administration, or whether of a considerably more speculative nature, and therefore, in the private sector) lies in the operator’s less than perfect knowledge of the aspects of supply and demand, due to the real estate market’s characteristics. The prerequisite to starting or sustaining virtuous dynamics in territorial development is knowledge of the real estate market, an area that has now been widely studied, in terms of the potential for economic, social and territorial development. This paper proposes the application of a synthetic index, the Housing Affordability Index (HAI), which was developed in detail at the municipality level to identify areas where housing is inadequate. The territorial scope includes Northwest regions of Italy, Liguria and Lombardy. HAI describes what happened and must then be understood conducing multi-disciplinary examinations, intended to explain why it happened.

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