Stock Market Decision-Making Model Based on Spline Approximation Using Minimax Criterion
The article concerns spline approximation method for share price analyzing under the conditions of an unstable trend. The proposed method is based on the use of polynomial splines in combination with the minimax approximation criterion. The theoretical approach to the approximation task solution is substantiated, a numerical method of data spline approximation has been developed on the basis of the minimax approach. Computational experiments were carried out to approximate PJSC “Rosseti” share quotation. The proposed method allows identifying trends at an early stage and implementing effective trading strategy for shareholders and investors.
KeywordsInterval data Spline approximation Share price
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