The economic crisis of the last decade, started from the real estate sector, has spread the awareness of the importance of the use of advanced evaluation models, as a support in the assessments and in the periodic value updates of public and private property assets. With reference to a sample of recently sold properties located in the city of Rome (Italy), an innovative automated valuation model is explained and applied. The outputs are represented by different mathematical expressions, able to interpret and to simulate the investigated phenomena (i.e. the market prices formation). The application carried out outlines, in the selection phase of the best model, the fundamental condition that the valuer must adequately know the reference market. In this way, it is possible to identify the existing patterns in the detected data in terms of mathematical expressions, according to the empirical knowledge of the economic phenomena.

An evaluation method for searching the functional relationships between property prices and influencing factors in the detected data / Morano, Pierluigi; Tajani, Francesco; Del Giudice, Vincenzo; De Paola, Pierfrancesco; DI LIDDO, Felicia. - In: INTERNATIONAL JOURNAL OF BUSINESS INTELLIGENCE AND DATA MINING. - ISSN 1743-8195. - 21:1(2022), pp. 23-47.

An evaluation method for searching the functional relationships between property prices and influencing factors in the detected data

Francesco Tajani
;
Felicia Di Liddo
2022

Abstract

The economic crisis of the last decade, started from the real estate sector, has spread the awareness of the importance of the use of advanced evaluation models, as a support in the assessments and in the periodic value updates of public and private property assets. With reference to a sample of recently sold properties located in the city of Rome (Italy), an innovative automated valuation model is explained and applied. The outputs are represented by different mathematical expressions, able to interpret and to simulate the investigated phenomena (i.e. the market prices formation). The application carried out outlines, in the selection phase of the best model, the fundamental condition that the valuer must adequately know the reference market. In this way, it is possible to identify the existing patterns in the detected data in terms of mathematical expressions, according to the empirical knowledge of the economic phenomena.
2022
price property formation; office market; retail market; automated valuation methods; AVMs; genetic algorithm; reliable valuations
01 Pubblicazione su rivista::01a Articolo in rivista
An evaluation method for searching the functional relationships between property prices and influencing factors in the detected data / Morano, Pierluigi; Tajani, Francesco; Del Giudice, Vincenzo; De Paola, Pierfrancesco; DI LIDDO, Felicia. - In: INTERNATIONAL JOURNAL OF BUSINESS INTELLIGENCE AND DATA MINING. - ISSN 1743-8195. - 21:1(2022), pp. 23-47.
File allegati a questo prodotto
File Dimensione Formato  
Tajani_Property-prices-factors_2022.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 888.45 kB
Formato Adobe PDF
888.45 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1650189
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact