A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The estimation of selling possibility of houses
Abstract With the exception of a living place, the house is an asset which needs to be estimated the future price and possibility of being sold. Main purpose of this paper is to estimate the prediction of the selling possibility of houses. Selling possibility of apartments in every city depends on qualitative and quantitative characteristics of houses. The area of per sq. m., number of rooms, the distance from the city center, located floor in building, and some quality indicators as the repair, parquet, furniture, distance to metro station, availability of documents, equipment with natural gas, project type, etc. are explanatory variables of our model. Dependent variable of the model was called as G score. This score was coded “0” when the house has not been sold during the period; otherwise “1”. On the base of this database, we calculated G score and found that, if the computed G value is equal to or greater than 0.33, then the house is considered with high possibility of selling. If the score is less than 0.33; it is classified as low-selling chance or illiquid. This estimation instrument might be useful for real-estate brokers, commercial banks, or even financial market participants working with real-estate-based derivatives.
The estimation of selling possibility of houses
Abstract With the exception of a living place, the house is an asset which needs to be estimated the future price and possibility of being sold. Main purpose of this paper is to estimate the prediction of the selling possibility of houses. Selling possibility of apartments in every city depends on qualitative and quantitative characteristics of houses. The area of per sq. m., number of rooms, the distance from the city center, located floor in building, and some quality indicators as the repair, parquet, furniture, distance to metro station, availability of documents, equipment with natural gas, project type, etc. are explanatory variables of our model. Dependent variable of the model was called as G score. This score was coded “0” when the house has not been sold during the period; otherwise “1”. On the base of this database, we calculated G score and found that, if the computed G value is equal to or greater than 0.33, then the house is considered with high possibility of selling. If the score is less than 0.33; it is classified as low-selling chance or illiquid. This estimation instrument might be useful for real-estate brokers, commercial banks, or even financial market participants working with real-estate-based derivatives.
The estimation of selling possibility of houses
Abbasov, Jeyhun (author)
Asian Journal of Civil Engineering ; 19 ; 827-837
2018-07-23
11 pages
Article (Journal)
Electronic Resource
English
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