Application of multiple linear regression model for potash prices short-term forecasting

The modern economy instability due to global and regional conflicts and contradictions leads to significant fluctuations in commodity markets. The demand and prices unpredictability leads to the raw materials industries risks increase and limits their successful functioning and development. The purpose of the study. In this paper, we made an attempt of a multiple linear regression model application to obtain a forecast price of potash products acceptable quality. Despite the wide application and simplicity of construction and interpretation, the forecasting properties of such models are usually unsatisfactory. Nevertheless, an adequate selection of factors and the sample size used to estimate unknown parameters of the model, allows to achieve an acceptable forecasting quality.