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Economic and mathematical model for trading company’s production effects forecasting and advertising expenses optimization

The article presents an economic and mathematical model that may predict financial effects and maximize the enterprise profit by optimal distributing costs among various types of advertising. The underlying algorithm, tools and application example are discussed and economic efficiency of the proposed approach is estimated.

Stock prices forecasting model based on Walsh functions and Markov chain theory

A mathematical model for market stock prices forecasting within time periods from one to six months was developed. The model is based on modern signal processing methods and Markov chain theory. High forecasting accuracy regardless of stock prices probability distributions parameters and the model’s parameters adaptability due to calculations information storing are the model advantages. Economists, traders and students engaged in mathematical methods of financial markets behavior forecasting will be the most likely users of the model.