Conventionally, linear and univariate time series models are broadly used in earning forecast. However, their forecasting accuracies are seriously limited without considering sufficient important factors. On the other hand, using more variables does not g
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JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF JAPAN
