An assessment model for the periodic reviews of the market values of property assets
Authors: Ntalianis, Klimis 
Tajani, Francesco 
Di Liddo, Felicia 
Issue Date: 1-Jan-2017
Conference: 17th International Conference on Computational Science and Its Applications (ICCSA 2017), 3-6 July 2017, Trieste, Italy 
Book: Computational Science and Its Applications – ICCSA 2017 
Series: Lecture Notes in Computer Science
Keywords: Genetic algorithm, Independent advisor, Investment management company, Market value, Mass appraisal, Real Estate Funds
Abstract: 
In this paper a mass appraisal methodology for the periodic reviews of the market values of special properties that constitute the asset balance of relevant real estate portfolios has been developed. Using the information published by Italian databases, a study sample of office properties of medium and large size, located in the city of Milan (Italy) and sold in the last decade, has been obtained. After having identified the main characteristics that contribute to the formation of property prices for the study sample considered, a model for the “quick” assessment of similar properties for intended use and explanatory variables of the prices and located in the same territorial context has been defined through the implementation of a genetic algorithm. The methodology developed satisfies the need to perform repetitive valuations, that should be not only contextualized to the spatial characteristics, but also timed to the different stages of evolution of the property cycles.
ISBN: 978-3-319-62398-6
ISSN: 1611-3349
DOI: 10.1007/978-3-319-62398-6_35
URI: https://uniwacris.uniwa.gr/handle/3000/2920
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

CORE Recommender
Show full item record

SCOPUSTM   
Citations

6
checked on Dec 17, 2024

Page view(s)

5
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.