ANALYSIS OF THE INFLUENCE OF SPECIFIC FACTORS ON REAL ESTATE PRICES IN THE REPUBLIC OF SRPSKA
Dragan Stanković
Abstract
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Dragan Stanković
Abstract
Open-access reader
The work deals with the analysis of the real estate market and the specificities of the formation of real estate prices in the Republic of Srpska. The specificity is reflected, among other things, in the definition of the market value of real estate if the prices are known from the sales contracts entered in the Real Estate Price Register (formed on the basis of supply and demand for apartments), the formation of value zones (location factor), the value tables (relational tables and value levels), the additional factors of influence (factor of the position of the apartment in the building) and equations for estimating the value of the real estate. The analysis was done using the CAMA algorithm. The research results show that real estate prices from the Real Estate Price Register and real estate prices calculated according to the CAMA algorithm are 70% accurate, i.e. they are within the permitted deviation interval of +,- 10 %, which means that the CAMA algorithm can also be used for real estates that have not been registered in the Real Estate Price Register yet.
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The work deals with the analysis of the real estate market and the specificities of the formation of real estate prices in the Republic of Srpska. The specificity is reflected, among other things, in the definition of the market value of real estate if the prices are known from the sales contracts entered in the Real Estate Price Register (formed on the basis of supply and demand for apartments), the formation of value zones (location factor), the value tables (relational tables and value levels), the additional factors of influence (factor of the position of the apartment in the building) and equations for estimating the value of the real estate. The analysis was done using the CAMA algorithm. The research results show that real estate prices from the Real Estate Price Register and real estate prices calculated according to the CAMA algorithm are 70% accurate, i.e. they are within the permitted deviation interval of +,- 10 %, which means that the CAMA algorithm can also be used for real estates that have not been registered in the Real Estate Price Register yet.
Key concepts: Real estate, Price on application, Capitalization rate, Value (mathematics), Cost approach, Apartment, Position (finance), Option fee