scholarly journals Predicting real estate market trends and value using pre-processing and sentiment text mining analysis

2021 ◽  
pp. 35-43
Author(s):  
Nikolay Sinyak ◽  
Singh Tajinder ◽  
Jaglan Madhu Kumari ◽  
Vitaliy Kozlovskiy
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Real Estate ◽  
Real Estate Market ◽  
Media Analysis ◽  
Market Information ◽  
Real Estate Markets ◽  
The Real Estate ◽  
Crowd Wisdom ◽  
Market Trends

Ubiquitous growth in the text mining field is unprecedented, where social media mining is playing a significant role. Gigantic growth of text mining is becoming a potential source of crowd wisdom extraction and analysis especially in terms of text pre-processing and sentiment analysis. The analysis of a potential influence of sentiment on real estate markets controversially discussed by scholars of finance, valuation and market efficiency supporters. Therefore, it’s a significant task of current research purview which not only provide an appropriate platform for the contributors but also for active real estate market information seekers. Text mining has gained the widespread attention of real estate market information users which is almost on explosion level. Accessibility of data on such behemoth scale mandates regular and critical analysis of this information for various perspectives’ plausibility. Rich patterns of online social text can be exploited to extract the relevant real estate information effectively. As text mining plays a significant and crucial role in discovery of these insights therefore its challenges and contribution in social media analysis must be explored extensively. In this paper, we provide a brief about the current summary of the modern state of text mining in pre-processing and sentiment for the real estate market analysis. Empha-sis is placed on the resources and learning mechanism available to real estate researchers and practitioners, as well as the major text mining tasks of interest to the community. Thus, the main aim of this chapter is to expound and intellectualize the domains of social media which are accessible on an extraordinary range in the field of text mining real estate for predicting real estate market trends and value.

scholarly journals COVID-19 Infects Real Estate Markets: Short and Mid-Run Effects on Housing Prices in Campania Region (Italy)

2020 ◽  
Vol 9 (7) ◽  
pp. 114 ◽  
Author(s):  
Vincenzo Del Giudice ◽  
Pierfrancesco De Paola ◽  
Francesco Paolo Del Giudice
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Real Estate Market ◽  
Campania Region ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Short Run ◽  
Predator Model ◽  
Real Estate Prices

The COVID-19 (also called “SARS-CoV-2”) pandemic is causing a dramatic reduction in consumption, with a further drop in prices and a decrease in workers’ per capita income. To this will be added an increase in unemployment, which will further depress consumption. The real estate market, as for other productive and commercial sectors, in the short and mid-run, will not tend to move independently from the context of the aforementioned economic variables. The effect of pandemics or health emergencies on housing markets is an unexplored topic in international literature. For this reason, firstly, the few specific studies found are reported and, by analogy, studies on the effects of terrorism attacks and natural disasters on real estate prices are examined too. Subsequently, beginning from the real estate dynamics and economic indicators of the Campania region before the COVID-19 emergency, the current COVID-19 scenario is defined (focusing on unemployment, personal and household income, real estate judicial execution, real estate dynamics). Finally, a real estate pricing model is developed, evaluating the short and mid-run COVID-19 effects on housing prices. To predict possible changes in the mid-run of real estate judicial execution and real estate dynamics, the economic model of Lotka–Volterra (also known as the “prey–predator” model) was applied. Results of the model indicate a housing prices drop of 4.16% in the short-run and 6.49% in the mid-run (late 2020–early 2021).

scholarly journals Optimization of the variables selection in the process of real estate markets rating

2015 ◽  
Vol 6 (4) ◽  
pp. 139 ◽  
Author(s):  
Małgorzata Renigier-Biłozor ◽  
Andrzej Biłozor
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
Real Estate Market ◽  
Market Potential ◽  
Coherent System ◽  
Essential Information ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
The Real Estate Market

The growing significance of the real estate market prompts investors to search for factors and variables which support cohesive analyses of real estate markets, market comparisons based on diverse criteria and determination of market potential. The specificity of the real estate market is determined by the unique attributes of property. The Authors assume that developing real estate market ratings identifies the types of information and factors which affect decision-making on real estate markets. The main objective of  real estate market ratings is to create a universal and standardized classification system for evaluating the real estate market. One of the most important problems in this area is collecting appropriate features of real estate market and development dataset. The main problem involves the selection and application of appropriate features, which would be relevant to the specificity of information related to the real estate market and create a kind of coherent system aiding the decision-making process. The main aim of this study is the optimization of  set of variables that were used to develop the real estate market ratings.  For this purpose, Hellwig’s method of integral capacity of information was applied. In this particular case, the method shows what set of variables provides information most sufficiently. The results lead to obtaining the necessary set of features that constitute essential information which describes the situation on the local real estate market.

scholarly journals The Role of Macroprudential Policy in Bank Housing Loans Portfolio Quality Assurance

2021 ◽  
Vol 59 (2) ◽  
pp. 281-296
Author(s):  
Mirela Mitrašević
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
Macroprudential Policy ◽  
Mortgage Loans ◽  
Real Estate Markets ◽  
The Real Estate ◽  
Business Conditions ◽  
Policy Measures ◽  
The Impact

Abstract The subject of this paper is the contemporary trend in residential real estate markets in European countries and their impact on the quality of banks’ housing loan portfolios. Due to the fact that these are the markets that still have not fully recovered from the previous financial crisis, and at the time of writing were exposed to significant uncertainty related to the effects of specific business conditions caused by COVID-19, the research on the risks related to these markets and tools which can mitigate their consequences are of paramount importance. Given the fact that the importance of monitoring the emergence of systemic risks in the financial system and the design of macroprudential tools for Bosnia and Herzegovina is yet to come, one of the aims of the paper is to present the results of the research on the effectiveness of certain macroprudential policy measures for mitigating the impact of price fluctuations in residential real estate markets. A special attention is paid to the challenges that the real estate market and mortgage loans have been facing during the crisis caused by the COVID-19 pandemic. The paper provides a basis for future researches examining to which extent the applied macroprudential policy measures in some countries have been effective in hitherto unprecedented business conditions

scholarly journals Study on the Influence of Urban Rail Transit on the Value of Real Estate Based on Information System

2015 ◽  
Vol 9 (1) ◽  
pp. 73-80
Author(s):  
Jiao Lichao
Keyword(s):  
Information System ◽  
Real Estate ◽  
Real Estate Market ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Market Information ◽  
The Real ◽  
The Real Estate ◽  
Urban Rail ◽  
The Impact

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.

Analysis of Land Markets Intended for Single-Family Housing for Different Suburban Areas

2017 ◽  
Author(s):  
Anna Przewiezlikowska
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Single Family ◽  
Real Property ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Suburban Areas ◽  
Family Housing ◽  
Comparative Description

The aim of this article is the comparative description of two real estate markets based on the procedures for real property valuation. The study concerned only the land, which was undeveloped, intended for single-family housing in two communes located in the district of Krakow and three communes from the district of Kielce. The analyses were performed at four-year intervals and the comparison of the real estate markets was conducted. The first part contains the description of the areas covered by the research studies and the analyses of the real estate market and market trends. The next stage includes the descriptions of the two test real properties which are the subject of valuation and the fundamental comparative criterion. Then, the algorithms and methods of the calculations are presented. The practical part contains the description of individual markets, the implementation of the analyses and calculations, the comparison of the study areas and conclusions. The comparative analysis of the performed simulations of valuations was carried out first and then followed by a collective summary of descriptive statistics of all the real estate bases and the comparative description of the structures of the databases showing meaningful differences between Krakow and Kielce region.

scholarly journals RATING METHODOLOGY FOR REAL ESTATE MARKETS – POLAND CASE STUDY

2014 ◽  
Vol 18 (2) ◽  
pp. 198-212 ◽  
Author(s):  
Malgorzata Renigier-Biłozor ◽  
Radoslaw Wisniewski ◽  
Arturas Kaklauskas ◽  
Andrzej Biłozor
Keyword(s):  
Decision Making ◽  
Real Estate ◽  
National Economy ◽  
Real Estate Market ◽  
Market Potential ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Local Character ◽  
The Real Estate Market

The development of the real estate market is conditioned by a variety of endogenous and exogenous factors. Selected factors determine the local character of the real estate market, whereas others contribute to its classification as one of the main branches of the national economy. Rapid economic growth and the search for new investment opportunities have turned the real estate market into a highly competitive arena where various players carry out diverse investment strategies. Investors search for similarities that would enable them to develop risk minimizing strategies. Ratings are a modern tool that can be deployed in analyses and predictions of real estate market potential. This paper proposes a methodology for developing real estate market ratings, and it identifies the types of information and factors which affect decision-making on real estate markets. The following research hypotheses are formulated and tested in the article: 1) a real estate market can be rated in view of its significance for the local and national economy, 2) real estate market ratings support market participants in the decision-making process.

scholarly journals Closed-End Real Estate Funds in Comparison with other Investment Opportunities in Poland

2017 ◽  
Vol 25 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Rafal Wolski ◽  
Magdalena Załęczna
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Investment Fund ◽  
Investment Funds ◽  
Real Estate Markets ◽  
The Real Estate ◽  
The Real Estate Market ◽  
Commercial Market ◽  
Dynamic Growth ◽  
And Performance

Abstract The first closed-end real estate investment funds in Poland began to appear in 2004, along with the development of the capital market and the real estate market. The funds invested both in the housing market and in the commercial market. In general, they encouraged potential investors to purchase investment fund units by pointing to positive results obtained by similar funds in other countries, as well as the dynamic growth of prices in domestic real estate markets. However, the analysis of the performance of closed-end real estate funds in Poland shows that they have failed to earn satisfactory rates of return. The aim of the study was to compare their performance with the profitability of other investment instruments in the 2004 to 2014 period. In addition, the authors aimed to establish why closed-end real estate funds had failed to succeed in Poland, by analyzing, among other things, their institutional context. The study was based on a comparison of the characteristics and performance of particular funds, and also analyzed the profitability of selected alternative investments.

scholarly journals The impact of fake news on the real estate market

2020 ◽  
Vol 14 (1) ◽  
pp. 316-323
Author(s):  
Cristian Bogdan Onete ◽  
Sandra Diana Chita ◽  
Vanesa Madalina Vargas
Keyword(s):  
Social Media ◽  
Real Estate ◽  
User Behavior ◽  
Harmful Effect ◽  
Real Estate Market ◽  
Fake News ◽  
Negative Effects ◽  
The Real Estate ◽  
Building Process ◽  
The Impact

AbstractWe are living in an extremely globalized and digitalized world where social media represent the core of our existence whether for personal or professional reasons. Social media impact on business in general caught the attention of researchers (Grizane & Jurgelane, 2017) during the last years, especially to measure the impact of their use in business growth, increasing sales and/or customer loyalty. There are more and more studies that focus on the harmful effect of fake news on specific markets, news that may appear easily and are difficult to control. Fake news can affect both the customers and/ or the business depending on the context. The purpose of this study is to identify how are the fake news appearing in a world where access to information is so simple and everybody can check the truthfulness of information and what kind of barriers are used to protect the business from being affected and the customers from being misinformed. Data for this paper are gathered using in-depth interviews with entrepreneurs from real estate businesses. The results show that the level of increasing fake news is affecting the trust building process. Recommendations are put forward for organizations to analyze more user behavior and use it for the decision-making process in order to limit the negative effects of fake news. Also, customers need to learn to identify quality brand communication, pay attention to details and be very precautions while taking decisions based on news that may be fake.

scholarly journals International Real Estate Review

2016 ◽  
Vol 19 (2) ◽  
pp. 151-170
Author(s):  
Lucia Gibilaro ◽  
◽  
Gianluca Mattarocci ◽  
Keyword(s):  
Real Estate ◽  
Bank Lending ◽  
Real Estate Market ◽  
Risk Exposure ◽  
Bank Risk ◽  
Property Market ◽  
The Real Estate ◽  
Significant Difference ◽  
Market Trends ◽  
And Performance

The literature primarily focuses on the effect of changes on property prices in terms of macrovariables and monetary aggregates. Only a few studies have taken into account bank characteristics when considering the effects of real estate market trends on bank lending policies and performance, and there is no study that controls for the type of bank or loan purpose. The paper studies the linkage between property market trends and bank risk exposure. We test for any significant difference of real estate banks with respect to other banks and the different roles of the real estate market trend in explaining changes in bank risk exposure. The empirical evidence demonstrates that real estate banks are not always riskier than other banks, and specialized banks are less sensitive to real estate market trends than other banks.

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