چكيده به لاتين
Investments in stock are made by stockholders and investors based on a large amount of information. One of these cases is the information in the financial statements. Changes in this information can be the basis for making decisions. In recent years, financial markets have been a good base for economists and statisticians, most of them focusing on economics and statistics such as neural networks, linear regression, and correlation coefficients. In the economic system, financial market indicators have internal and interdependent interaction, and it is widely used to investigate these effects through mutual information or transfer entropy (TE).Today, transfer entropy¬ is widely used in data mining and economics. The existence of an transfer entropy is that time series tend to go to a stationary point and apply in Markov conditions, and we study transfer entropy over time series, so this study focuses on the transfer of entropy on nonlinear transformations on the data of the daily sales volumes of the two automotive and industrial industries This article will show that one of the nonlinear behavioral transformations is almost like the behavior of the main data, and the rest of the nonlinear transformations have dramatic changes and fluctuations over the entropy of the original data.
