Case
Extrapolation of the value per square meter in the real property market
Problem
Bank clients make deals when buying real estate. In these transactions, the banks act as intermediaries or sellers.
To reduce risks when investing their reserves in real estate, the bank must effectively predict the dynamics of real estate prices.
Solution
Forecast of prices per square meter with a given horizon on the history of transactions.
Benefits
The project resulted in a 20% improvement in prediction quality — mean absolute percentage error (MAPE) / mean absolute percentage deviation (MAPD).
