scholarly journals Considerations for a Regression-Based Real Estate Valuation and Appraisal Model: A Pilot Study

2019 ◽  
Vol 8 (2) ◽  
pp. 99
Author(s):  
Shawn L. Robey ◽  
Mark A McKnight ◽  
Misty R. Price ◽  
Rachel N. Coleman
Keyword(s):  
Pilot Study ◽  
Real Estate ◽  
Market Value ◽  
Residential Real Estate ◽  
Independent Variables ◽  
Real Estate Valuation ◽  
Scientific Approach ◽  
Traditional Approaches ◽  
Different Characteristics ◽  
Total Market

This paper advocates a more scientific approach to residential real estate valuation as opposed to more traditional approaches, which are flawed for two main reasons: (1) appraiser judgements are almost exclusively used and (2) appraisers’ sample sizes are too small to provide adequate estimated values. By using a regression model, this paper explores the impacts of different characteristics on market value. Three hundred and fifteen properties in Evansville, Indiana, were analyzed testing twelve different variables. This model suggests that 91.8% of the total market value variation is explained by four independent variables. These findings provide evidence that multiple linear regression could be used to better predict a property’s value.

scholarly journals Added value of sites suitable for sustainable office development

2021 ◽  
Vol 13 (2) ◽  
pp. 2465-2471
Author(s):  
Josef Kupec
Keyword(s):  
Real Estate ◽  
Free Market ◽  
Market Value ◽  
Commercial Real Estate ◽  
Added Value ◽  
The Real Estate ◽  
Real Estate Valuation ◽  
Valuation Methodology ◽  
The Impact ◽  
Office Development

Abstract Valuations of real estate are widely used for various purposes and it relied always upon the financial and other markets. Valuation methodology is based on the operation of the free market economy and the real estate properties. The issue of certified properties is relatively new in the field of real estate valuation and is not sufficiently explored. Certified buildings are preferred by major corporate tenants with international field of activity who often have ethical rules for sustainable development. Therefore, certified properties are attractive to international commercial real estate investors who have higher purchasing power and are willing to pay a higher purchase price. Sustainable property certification is an element affecting the market value of the property. The purpose of this presented research is to quantify the impact of property certification on the value of office properties in Prague and subsequently to determine the impact of sustainability certificates on the market value of the land by using basic valuation techniques. The outcome of the project could be used by real estate valuation experts as a guideline to consider the future project certification and its impact on the land market value.

Real Estate Valuation Fraud

2015 ◽  
pp. 278-291
Keyword(s):  
Real Estate ◽  
Market Value ◽  
Real Estate Market ◽  
Personal Gain ◽  
The Real ◽  
The Real Estate ◽  
Real Estate Valuation ◽  
The Real Estate Market ◽  
Real Market

Valuation profession is a link between the borrower and the lender. Fraud is an intentional deliberate deception committed for illegitimate personal gain. There are several forms of real estate fraud, especially when the real estate market is facing a boom. The most widespread types of real estate fraud include the preparation of two sets of settlement statements, property flipping, and fraudulent qualifications. There are mainly three types of valuation to look out for. Valuation may be received from an unauthorized agency. Furthermore, a real valuation may be altered from the original to generate profit. Thirdly, intentional inflation of the value of a property will hide the real market value. It is usually difficult to spot real estate fraudulent activities, so deep investigations and professionalism is needed. This chapter explores real estate fraud.

scholarly journals Market and cadastral data comparison for the real estate market value forecasting

2020 ◽  
Vol 17 (4) ◽  
pp. 44-54
Author(s):  
M. B. Laskin ◽  
P. A. Cherkesova
Keyword(s):  
Real Estate ◽  
Normal Distribution ◽  
Market Value ◽  
Real Estate Market ◽  
Residential Real Estate ◽  
Market Data ◽  
The Real ◽  
The Real Estate ◽  
Saint Petersburg ◽  
The Real Estate Market

The aim of the research is to develop theoretical and methodological approaches to market value forecasting in the real estate market. The relevance of the research is determined by the system-forming place that the real estate market occupies in the economy of the country and regions, affecting the interests of owners of various forms of ownership, construction and development companies, insurance companies, banks. Another aspect that determines the actuality of the study is the discrepancy between well-structured cadastral databases and market data dispersed between different owners of information resources, and the unstructured nature of market data, which in most cases is focused on advertising, rather than on analytical market research.Materials and methods. The study uses a model of a multidimensional logarithmically normal distribution law of the ensemble of prices for residential real estate at equidistant points of time and cadastral value, the ARIMA model for predicting market value, taking into account the features of the logarithmically normal distribution of prices, as a distribution with positive asymmetry. As a statistical material, we used market data on residential real estate published in the periodical press in the period from the end of 2012 to 2018. The volume of samples of weekly publications is 15000-20000 objects; data for 21 quarters (more than five years) was used. As a comparison base, we used data from cadastral registration of real estate objects in Saint Petersburg for 2018. The total volume of the cadastral database of residential real estate in Saint Petersburg (individual apartments) is 2 226734 objects with a fairly complete (and well-structured) set of price-forming factors. The authors propose a method for estimating the most likely movement of the market value for a pre-selected real estate object that has passed cadastral registration and has a cadastral value entered in the register and predicting the market value in the future period.Results. The theoretical significance of the work is the proposed algorithm for estimating the most probable trajectory of the market value of the investigated object, based on the conditional multivariate log-normal distribution for a given value of the cadastral value. A well-developed and studied ARIMA time series forecasting model is applied to the logarithms of the obtained time series, the return from logarithmic prices to real prices is carried out taking into account the peculiarities of the logarithmically normal distribution. Results are compared with median scores and estimates, obtained by average values.Conclusion. The paper shows that the introduction of cadastral value in the Russian Federation opens up new opportunities for analyzing and forecasting market prices, since cadastral databases contain the most complete lists of real estate objects, including the cadastral value, which now, in accordance with the law, must be updated at least once every three years and, as of 2015 and 2018, was determined as the market value, therefore, until the next cadastral assessment, can serve as a basis for constant comparison with market data, which are constantly changing, primarily in the composition of objects.

scholarly journals Assessment of changes in the market value of residential real estate in the area of the commissioned transport interchange of the urban toll road

2019 ◽  
Vol 16 (5) ◽  
pp. 57-69
Author(s):  
M. B. Laskin ◽  
A. U. Talavirya
Keyword(s):  
Real Estate ◽  
High Speed ◽  
Market Value ◽  
Residential Real Estate ◽  
Mass Market ◽  
The Real ◽  
The Real Estate ◽  
Toll Road ◽  
The Impact ◽  
The City

The purpose of this research is to assess the impact of the commissioned toll road running through the city’s residential areas on the market value of residential real estate. The article presents a review of non-traditional methods for assessing real estate value, mainly in foreign publications. The Western High-Speed Diameter (WHSD) is the most significant transport and infrastructure project of the current decade for St. Petersburg. The most inaccessible part of the city on Vasilievsky Island was analyzed, as the example of new and secondary real estate value changes, were examined from August 2015 to December 2017, by the time when the new transport interchange of WHSD in the western part of the island was constructed and put into commission.  For the study, the authors used the data of the Real Estate Bulletin of St. Petersburg at the end of 2015 and 2017, the data of the cadastral assessment of residential real estate of St. Petersburg of 01.01.2015 and 01.01.2018. Main research method is the study of two-dimensional and conditional distributions of random values of bid prices and cadastral values, which allows obtaining estimates of the market value of the real estate that has passed cadastral registration, and estimates of growth rates.  The comparison of prices of offers with cadastral values applied in the article, with a simple and natural speculation of logarithmically normal distribution, allows us to propose a method of assessing the market  value for any property, even if the information about it is not available in the market data. The obtained numerical results showed a rise in the cost of a significant part of the mass-market for the study period up to 18% without discount on the auction, and up to 9% taking into account the discount on the auction. It turned out to be slightly higher than the general change in the prices of proposals that can be found in advertising publications. A significant change (from 50% to 73%) was found in business-class properties, located in the area with significantly changed species characteristics and improved transport accessibility, in the immediate vicinity of the exit from WHSD.  The results, indicating the growth of market value, allowed us to make a general conclusion about the changes in the attractiveness of the area for different segments of the population of the city: both for the mobile middle class, focused on the mass-market, and for buyers of the premium segment, having increased requirements for the real estate. The authors believe that the growth of the market value of real estate in the area of transport interchanges of modern infrastructure projects could be higher in other macroeconomic conditions. At present, the effective demand of the population is obviously not sufficient.  

scholarly journals Forms and Effectiveness of the Client's Influence on the Market Value of Property - Case Study

2018 ◽  
Vol 26 (3) ◽  
pp. 82-92 ◽  
Author(s):  
Ewa Kucharska-Stasiak ◽  
Sabina Źróbek ◽  
Radosław Cellmer
Keyword(s):  
Statistical Analysis ◽  
Real Estate ◽  
Market Value ◽  
Ethical Standards ◽  
Gender And Age ◽  
Real Estate Valuation ◽  
Valuation Process ◽  
Survey Responses

Abstract Although real estate valuation is supposed to make the market transparent, it has been noted to be partial in many countries. Analysis of literature and results of the statistical analysis of survey responses of Polish property appraisers indicated that: Property valuers operate in an environment which exerts influence on the final result of valuation. The attempts of the client to influence the valuation process and their effectiveness do not depend on the gender and age of the property appraiser. The problem of valuation bias should be seen in the weakness of the system enforcing compliance with ethical standards, with this being an area which requires reinforcement in many countries.

scholarly journals The Issues of Real Estate Valuation in the Process of Privatization

2017 ◽  
Vol 5 (1) ◽  
pp. 201-208
Author(s):  
Levan Kalandadze
Keyword(s):  
Real Estate ◽  
Early Stage ◽  
Market Value ◽  
The State ◽  
Soviet System ◽  
Real Estate Valuation ◽  
Privatization Process ◽  
Production Facilities

Abstract The process of privatization in our country was characterized and unfortunately is still characterized by very important difficulties. The purpose of the research is to analyze the issues of real estate valuation in the process of privatization. In Georgia, the privatization process began after dissolution of the Soviet system. It should be noted that the process of privatization is of particular importance in terms of activation of investment activities in the country. In this regard, privatization can be considered one of the essential and most important incentives for attracting investments by the state. Currently, thousands of enterprises have already been privatized, but there are still quite many stateowned production facilities and property. Determination of the market value of the items of state-owned property is especially important when selling them at auctions or on competitive basis. In addition, one of the causes for incompetent privatization of the state-owned property at the early stage is disregard of the institute of appraisers of movable and immovable property, who did not participate in determining the market value of the property and in the privatization process. The information assessment, analysis, comparison and generalization, as well as systematic, quantitative, qualitative and logical generalization methods are used in the article.

scholarly journals MASS EVALUATION OF RESIDENTIAL REAL ESTATE USING MACHINE LEARNING METHODS

2020 ◽  
Author(s):  
V. Chernushevych
Keyword(s):  
Machine Learning ◽  
Real Estate ◽  
Residential Real Estate ◽  
Learning Methods ◽  
Mass Estimation ◽  
Machine Learning Methods ◽  
Real Estate Valuation

The essence of the concept of mass assessment is considered. The peculiarities of real estate valuation with the support of taxation in Ukraine are analyzed. The model of mass assessment of real estate with the use of machine learning methods is investigated. The results of modeling of mass estimation on the basis of gradient amplification are demonstrated.

scholarly journals Adjustment of comparison objects by processing of large amounts of cadastral data

2020 ◽  
Vol 17 (3) ◽  
pp. 208-220
Author(s):  
M. B. Laskin ◽  
◽  
L. B. Dampilon ◽  
Keyword(s):  
Growth Rate ◽  
Real Estate ◽  
Rate Of Change ◽  
Small Samples ◽  
Comparative Approach ◽  
Two Dimensional ◽  
Residential Real Estate ◽  
Market Data ◽  
Adjustment Method ◽  
Real Estate Valuation

The article proposes an adjustment method of comparison objects in the comparative approach to real estate valuation, based on the comparison of clusters of different groups of real estate objects formed by price-forming factors and the rate of change between the dates of cadastral valuation. Price-forming factors are divided into qualitative and continuous ones. The division of objects into clusters is carried out according to the growth rate in the period between cadastral valuation and to the qualitative factors. Then, in each cluster, two-dimensional distributions of cadastral values and the resulting dependencies of the changed cadastral value on continuous price-forming factors are considered. The proposed method makes it possible to adjust the objects of comparison of market data (including for small samples), based on the data of cadastral accounting of two periods. These examples are based on a comparison of cadastral valuation results of residential real estate in St. Petersburg in 2015 and 2018.

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