Price forecasting in the secondary housing market of Saint-Petersburg

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In article the prices in the housing market of St. Petersburg are analyzed. Modeling of the average price of housing based on a temporary row and an assessment of the choice of optimum model of auto-regression of the integrated sliding average is considered. The forecast of the average price in the secondary housing market of St. Petersburg is constructed. The attention is focused on an assessment of quality of the forecast and the choice of the best expected model.

Autoregression, time series modeling, forecasting, housing market, average price 1 sq. m of housing

Короткий адрес: https://sciup.org/14875885

IDR: 14875885

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