The current study has been developed within the current research P.R.I.N. Project 2022: “INSPIRE—Improving Nature-Smart Policies through Innovative Resilient Evaluations”, Grant number: 2022J7RWNF
HIGHLIGHTS
  • the usefulness is the possibility of supporting valuers in determining the capitalization rate of residential sector
  • interpret and describe the capitalization rate determination of the residential sector at the sub-municipal scale in a clear and rigorous manner
  • the obtained outputs can be used to classify the investment risk according to the main factors selected by the model
KEYWORDS
TOPICS
ABSTRACT
The assessment of income-producing properties - considered as the bulk of the existing assets - has rapidly increased. An efficient assessment of the market value of this kind of properties requires an adequate involvement of the main risk factors of the local real estate market for the determination of the capitalization rate for the income approach application. The aim of the work is to identify the most significant local real estate risk factors related to the market, the tenant and the context on the residential capitalization rate. The development of a regressive methodological approach applied to the residential sector of the city of Rome (Italy) is proposed. The obtained results show the susceptibility of the analyzed capitalization rate to the variation of the local real estate risk factors, in particular the per capita income and the variation of the rental values, by also considering the influences of the exogenous shocks and the expectation of the investors. The practical implications of the work consist in the possibility for evaluators to assess the likely changes in the capitalization rate in different residential contexts if variations occur in the most influential local risk factors identified by the proposed model.
FUNDING
The current study has been developed within the current research P.R.I.N. Project 2022: “INSPIRE—Improving Nature-Smart Policies through Innovative Resilient Evaluations”, Grant number: 2022J7RWNF
eISSN:2300-5289
Journals System - logo
Scroll to top