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Automated valuation models for real estate portfolios

Author

Listed:
  • Francesco Tajani
  • Pierluigi Morano
  • Klimis Ntalianis

Abstract

Purpose - As regards the assessment of the market values of properties that compose real estate portfolios, the purpose of this paper is to propose and test an automated valuation model. In particular, the method defined allows for providing for objective, reliable and “quick” valuations of the assets in the phases of periodic reviews of the property values. Design/methodology/approach - Aiming at both predictive and interpretative purposes, the method, based on multi-objective genetic algorithms to search those model expressions that simultaneously maximize the accuracy of the data and the parsimony of the mathematical functions, is applied to a sample data of office properties characterized by medium and large size, located in the city of Milan (Italy) and sold in the period between 2004 and 2015. Findings - The model obtained could be an integration of the canonical methodologies (market approach, income approach, cost approach) implemented in the assessment of the market values of properties, so as to provide an additional tool to verify the results. In particular, the inclusion of economic variables in the model is consistent with the need to reiterate the valuations, contextualizing them to the locational characteristics and to the current property cycle phase in the specific area. Practical implications - The model can be applied by all the operators involved in the periodic reviews of the values of property portfolios: from real estate funds’ insiders, in order to monitor the values obtained through the canonical approaches, to the public institutions, such as the revenue agencies, in order to ensure the fair payment of the taxes through the updating values of the properties according to the actual and current market trends. Originality/value - The method proposed can be a valid support for all public and private entities that hold significant property assets and that, for various reasons (periodic reviews of the balance sheets, sales, enhancement, investment, etc.), require cyclical updated values of the properties. The automated valuation model developed can be used for the assessment of “comparison” values with the estimates values obtained by other assessment techniques, in order to ensure a further monitoring tool of the results from the subjects involved.

Suggested Citation

  • Francesco Tajani & Pierluigi Morano & Klimis Ntalianis, 2018. "Automated valuation models for real estate portfolios," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 36(4), pages 324-347, July.
  • Handle: RePEc:eme:jpifpp:jpif-10-2017-0067
    DOI: 10.1108/JPIF-10-2017-0067
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    Citations

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    Cited by:

    1. Elena Bykowa & Maria Hełdak & Julia Sishchuk, 2020. "Cadastral Land Value Modelling Based on Zoning by Prestige: A Case Study of a Resort Town," Sustainability, MDPI, vol. 12(19), pages 1-26, September.
    2. Maria Rosa Trovato & Salvatore Giuffrida & Giuseppe Collesano & Ludovica Nasca & Filippo Gagliano, 2023. "People, Property and Territory: Valuation Perspectives and Economic Prospects for the Trazzera Regional Property Reuse in Sicily," Land, MDPI, vol. 12(4), pages 1-38, March.
    3. Daikun Wang & Victor Jing Li, 2019. "Mass Appraisal Models of Real Estate in the 21st Century: A Systematic Literature Review," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
    4. Francesco Tajani & Pierluigi Morano & Maria Paz Saez-Perez & Felicia Di Liddo & Marco Locurcio, 2019. "Multivariate Dynamic Analysis and Forecasting Models of Future Property Bubbles: Empirical Applications to the Housing Markets of Spanish Metropolitan Cities," Sustainability, MDPI, vol. 11(13), pages 1-21, June.
    5. Daikun Wang & Victor Jing Li & Huayi Yu, 2020. "Mass Appraisal Modeling of Real Estate in Urban Centers by Geographically and Temporally Weighted Regression: A Case Study of Beijing’s Core Area," Land, MDPI, vol. 9(5), pages 1-18, May.

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