SYSTEM, METHOD AND PROGRAM FOR SUPPORTING WHOLESALE MERCHANDISE MARKET BIDDING PRICE SETTING

摘要

PROBLEM TO BE SOLVED: To support the setting of an optimum bidding price for maximizing a profit expected value in a merchandise spot market.

SOLUTION: A past time-series data acquiring part 21 acquires spot price past time-series data agreed in a spot market in the past, and a profit calculating data acquiring part 22 acquires production cost data or retail price data as profit calculating data for calculating an expected value of a profit index. A time-series analyzing part 23 generates time-series (predicted price time-series) of a predicted value ahead by one term of a past spot price and time-series of standard deviation or dispersion of predicted errors between the predicted value ahead by one term and a result value ahead by one term by analyzing the spot price past time-series data. A bidding price optimizing part 24 uses a predicted price time-series, the time-series of the standard deviation or dispersion of the predicted errors and the production cost data or the retail price data to thereby calculate an optimum bidding price to maximize an expected value of a preset profit index for a sales transaction and a purchase transaction.

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