scholarly journals Application of AHP Method in Assessment of the Influence of Attributes on Value in the Process of Real Estate Valuation

2019 ◽  
Vol 27 (4) ◽  
pp. 15-26
Author(s):  
Krzysztof Dmytrów ◽  
Sebastian Gnat

Abstract Property valuation in the comparative approach requires the determination of the impact of market characteristics on the formation of prices on the local real estate market. Valuers have a variety of methods for determining weights. Some of them require the collection of a sufficiently large database of information on transactions. However, this is not always possible. In the absence of sufficient data, alternative approaches, including an expert approach, may be used. The goal of the article is the proposal of an expert approach at the stage of assessing the influence of attributes on the value of the real estate. The AHP (Analytical Hierarchy Process) method will be used. On its basis, pairwise comparisons of the importance of attributes will be done by experts (valuers). By means of the AHP method, the weights of each attribute will be obtained and, subsequently, the influence of each attribute on the real estate value will be assessed. Research will be done on the basis of 318 real estates in Szczecin.

2019 ◽  
Vol 27 (2) ◽  
pp. 33-43
Author(s):  
Tomasz Adamczyk ◽  
Agnieszka Bieda ◽  
Piotr Parzych

Abstract The complexity of multi-component real properties results from the possibility of identifying various components in legal, physical or functional terms. The possibility of distinguishing various functional elements of real properties, combined with the specificity resulting from their market properties, is problematic when applying the comparative approach to real estate valuation. In this case, the valuation procedure can be implemented using statistical models: the parametric model or the conditional one. This research paper demonstrates the construction of the parametric and conditional models taking into account the geometric and pricing attributes of multi-component real estate. The authors paid attention to adjusting the models to the available market data. They also specified the conditions for the use of statistical models in the real estate valuation process. Based on the analytical and accounting considerations, the estimation criteria for the parametric model and the conditional model were defined, which allow the correct application of these models at the stages of the real estate market analysis and the real estate valuation process.


2021 ◽  
Vol 27 (4) ◽  
pp. 894-912
Author(s):  
Tat'yana A. RUBLEVA

Subject. This article examines the impact of project financing on the development of the real estate funding market in the context of the transition to the digital economy. Objectives. The article aims to define the features of project financing in the property construction and its development prospects in the context of the transition to the digital economy. Methods. For the study, I used comparative and logical analyses, object-oriented design, and the systems approach. Results. The article defines the essence of project financing and its role in the development of the real estate funding market in the transition to the digital economy. It describes a number of features of project financing in construction and compares them with the features of project financing of innovative industrial projects. The article shows how to solve existing problems in this area and offers a use case diagram that helps develop a software product relevant to the real estate funding market. Conclusions and Relevance. The real estate funding market is a complex structure and it includes the synergy of the real estate market, banking market, and the financial market. Project financing is an integral part of the real estate funding market. It stimulates the development of quality consulting services in the market and produces key requirements for the profession of the next generation. The results of the study can be used to improve banking activities in project financing and when creating quality services of consulting companies in the real estate funding market.


Author(s):  
Олександр Володимирович Києвич

Nowadays, when we still see the impact of COVID not only in the Czech Republic, but all over the world, when the value of money is constantly decreasing due to inflation and negative trends in the economy, people usually try to save their savings where they are confident that they will not lose value. The purpose of the article is to characterize the policy of the Czech National Bank in relation to the real estate market. Research hypothesis. The population of the Czech Republic now perceives housing as a safe haven and protects their savings by buying real estate. That is why, according to practicing economists, the great interest of Czechs in investing in real estate will continue in the coming years. Presentation of the main material. Wealthy people in the Czech Republic are now investing their money in apartments to protect their savings from inflation, which was largely fueled by covid restrictions. Rising inflation and volatility in world currencies is a serious blow to those who keep their savings in cash, so people want to own any asset that has any hope of going up. Originality and practical significance of the research. It has been proven that overheated markets sometimes collapse with dire consequences for a country's economy. And this is the responsibility of the regulators, who must anticipate and prevent such trends in the markets. Conclusions and prospects for further research. The current situation with the pandemic has not affected the real estate market, which is perhaps surprising. The population of the Czech Republic now perceives housing as a safe haven and protects their savings by buying real estate. The main task today of all financial market regulators, not only in the Czech Republic, but all over the world, is and will be the task of preventing a sharp collapse of the formed bubbles, including the real estate market.


2021 ◽  
Vol 16 (02) ◽  
pp. 58-65
Author(s):  
Natia Terterashvili Natia Terterashvili

The article analyzes the early effects of the COVID_19 pandemic on the Georgian real estate market. There are studies examining the impact of health deterioration and pandemic shocks on housing markets. Based on the analysis of the economic consequences caused by similar events in the past and the tools of state regulation in a crisis situation, parallels are drawn with the modern Covid pandemic. In studying the crisis situation in the real estate market, we also rely on the experience of the global financial crisis of 2007-2008, which is most often associated with the current situation. The research is mainly based on the data of the Georgian Public Registry on the real estate market, which is updated by months. The article also discusses the role and importance of government decision-making in the development business, which has helped the real estate market to some extent. Crises are particularly damaging to the construction and real estate sectors, but we also expect that the real estate market will recover rapidly with the lifting of restrictions. This is based on the recent experience of Georgia, in particular, our simultaneous analysis of the results of the first wave of the COVID_19 pandemic. The situation was different during the crisis of 2007-2008, which was accompanied by war with Russia. Then the turn over of the construction sector decreased by 12% per year and it took about three years for the market to fully recover. At the same time, before 2008, the prices in the real estate market were very high, which confirmed the existence of a real estate "bubble". In modern conditions, it is difficult to talk about the existence of a "bubble", because before the pandemic real estate prices were balanced and stable. This fact allows for additional optimism. The paper summarizes the main findings, identifies all the challenges the market are facing and also provides relevant recommendations for market participants. Keywords: COVID_19 pandemic, Real Estate, Crisis, development business, State regulations.


2015 ◽  
Vol 9 (1) ◽  
pp. 73-80
Author(s):  
Jiao Lichao

Urban rail transit has strong transportation capability, but little environmental pollution. Besides, it also saves land resource. These advantages make the urban rail transit gradually becomes an effective measure to solve city traffic problems. In order to analyze the impact of the scope and extent of urban rail transit on the real estate, this paper first introduces the composition of real estate market information system, explains the process of how the urban rail transit influences the value of real estate by taking the 1st project of line 1 of Zhengzhou urban rail transit in Henan province for example, finds the semi logarithmic model which has the best regression effects with three hedonic price models and the collected data from the real estate market information system, and finally works out the added value of real estate generated by the above urban rail transit.


2018 ◽  
Vol 06 (04) ◽  
pp. 1850025
Author(s):  
Xiaoxi ZHANG ◽  
Lu GUO

As the pillar industry of China’s economy, the real estate sector has a significant impact on macroeconomic growth. We assume that the first stage of economic actors’ working lives is a low-income one, while their second stage is a high-income one. Then, relying on an Overlapping-Generations Model, we analyze how, via real estate, the behaviors of different income groups affect the macroeconomy. The results show that when the supply of real estate market fluctuates then this has an impact on economic growth, but the extent of the impact depends on the relationship between the real estate and the consumer markets. We also find that when economic actors more greatly prefer their current situations of well-being, no matter whether there takes place or not a new increase in real estate stocks, a negative correlation will exist in the relation between real estate stocks and their prices. Lastly, we come to the conclusion that increases in property taxes can effectively reduce housing prices, but the impact of transaction taxes on housing prices can still not be determined.


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