CUPAL, Martin. The Comparative Approach theory for real estate valuation. Online. In Iacob, AI. Procedia Social and Behavioral Sciences. Turecko: Academic World Education & Research Center, 2014, p. 19-23. ISSN 1877-0428. Available from: https://dx.doi.org/10.1016/j.sbspro.2013.12.414.
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Basic information
Original name The Comparative Approach theory for real estate valuation
Authors CUPAL, Martin (203 Czech Republic, guarantor, belonging to the institution).
Edition Turecko, Procedia Social and Behavioral Sciences, p. 19-23, 5 pp. 2014.
Publisher Academic World Education & Research Center
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50200 5.2 Economics and Business
Country of publisher Turkey
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW Odkaz na článek ve WoS
RIV identification code RIV/00216224:14560/14:00074918
Organization unit Faculty of Economics and Administration
ISSN 1877-0428
Doi http://dx.doi.org/10.1016/j.sbspro.2013.12.414
UT WoS 000335570200003
Keywords in English comparative approach; market value; Hotellings T2
Tags International impact, Reviewed
Changed by Changed by: doc. Ing. et Ing. Martin Cupal, Ph.D. et Ph.D., učo 137530. Changed: 10/3/2015 14:38.
Abstract
Comparative approach is embedded in the International valuation standards (IVS) or also in European valuation standards (EVS) as a main approach to receive a market value of realty. Course this is conditional on the existence of the real estate market, its supply and demand. This paper introduces advanced and detailed procedure against the usual classical procedure of qualified valuers and appraisers. Specifically in the comparative approach procedure were included diagnostic procedures based on statistical approach, mainly because of the type of good that is significantly heterogeneous and inclusion of vector calculus. Main task is to improve the process of selecting the basic sample data into sample set, ie qualitative analysis. It is very necessary, because in the event of poor performance of this step arises incorrect assumption when processing the sample data. This step should be improved by including cluster analysis (CLU), where each entity in the calculation with their variables, ie as a cross-sectional data. Values of each variable and their combination for one observing will indicate the degree of heterogeneity of the observing. Another way could be to use Hotelling T-2 control chart. It also allows qualitative selection of data the basic set. However the paper contains the entire procedure within the comparative approach, the unified methodology that is supported by the model cases
Links
MUNI/A/0753/2012, interní kód MUName: Evropské finanční systémy 2013 (Acronym: EFS)
Investor: Masaryk University, Category A
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