Model Hybrid for Sales Forecast for the Housing Market of São Paulo

Abstract

This research proposes a combined model of time series for forecasting housing sales in the city of São Paulo. We used data referring to the time series of sales of residential units provided by SECOVI-SP. The Exponential Softening, Box-Jenkins and Artificial Neural Networks models are individually modelled, later these are combined through five forecast combination techniques.

Keywords

• real estate market
• sales forecast
• real estate management
• analysis of real estate
• forecast combination
• c53