Article residual value predicting device

Abstract

An article residual value predicting device for accurately predicting the residual value of an article such as a used car. The device, for example, updates a set of basic records including the names of cars, used car prices, new car prices, and the years and months of the used car prices (S2), reads the used car prices and the new car prices, calculates the car residual value ratio actual values as their ratios (S6), performs regression analysis on the basis of the quantification theory type-I by using the car residual value ratio actual values as the response variables and the names of cars and the years and months of the used car prices as the explanatory variables, calculates the category scores (S9), and calculates the car residual value ratio predicted value to be predicted at a future time point as the scores-by-car name + scores-by-year + scores-by-month + constant from the category scores (S13). Prior to the regression analysis, the device carries out weighting processing (S4 to S8), copies the records according to the weights based on the then number of new cars sold, the number of car colors, and the number of records corresponding to them.

Description

technical field [0001] The present invention relates to a technique for predicting the future residual value of an item or a vehicle, and particularly relates to an item residual value predicting device and an item effective in the case of classified data that cannot quantify factors affecting the residual value of the item or the residual value of the vehicle. A residual value prediction system, a vehicle residual value prediction device and a vehicle residual value prediction system. Background technique [0002] As one of techniques for predicting the future residual value of an article or vehicle whose value decreases with time, there is a depreciation compensation method as an accounting method. However, in this depreciation compensation method, neither the fixed rate method nor the fixed amount method sets the residual value rate of the item or the residual value rate of the vehicle according to the number of years that have passed regardless of the attribute informati...

AI Technical Summary

Problems solved by technology

[0004] The vehicle residual value prediction technology developed in the past is the prediction of theoretical formulas such as multiple regression analysis based on numerical data only. However, the factors that have a large impact on the prediction of vehicle residual value are represented by the name of the vehicle and cannot be numerical. Therefore, based on subdividing the basic records according to the attribute values ​​of the factors, it is applied to theoretical formulas such as multiple regression analysis, so the law of large numbers cannot fully function and has the disadvantage of being easily dominated by outliers

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