Abstract: A residual value of goods based on data is forecast based on a secondhand price database storing transaction data including the residual value of objects and age of the objects. A standardized forecast residual value is calculated for a prescribed future time based on the standardized residual value. The standardized residual value is calculated by modifying a residual value of the object included in the transaction data stored in the secondhand price database based on attribute values of a prescribed attribute of the object included in the transaction data. A non-standardized forecast residual value is determined by making adjustments corresponding to the attribute values of the object of which the residual value will be forecast.

Abstract: Provided is technology for enabling an accurate forecasting of a residual value of goods based on data showing the similar trend, without making reduction of the number of data caused by ramification, when the subject goods have an attribute that may largely affect the residual value thereof. In order to achieve the above, the system according to the present invention comprises a secondhand price database storing transaction data including the residual value of the object and the elapsed year of the object etc.