Application of wavelet data analysis for forecast model development
О. В. Чубарова, А. В. Чубаров, Д. И. Ликсонова · Vestnik kibernetiki · 2024
The work is devoted to the development of a model for forecasting the price of any product based on the study of input data using the wavelet analysis. This method is a convenient tool for processing and transforming various types of initial data. Each element of the market mechanism is asassociated with a price, which is the key criterion affecting supply and demand. The processes of planning, stimulating and managing economic activity at all stages of reproduction are associated with pricing. Forecasting the consequences of decisions taken is a very important task. In the course of experiments on data from open sources, satisfactory results were obtained. It was established that it is possible to build a forecast for no more than three subsequent days.