It is shown in this paper that the informational relationships between mutual coupled statistical systems can be lucidly described by making use of communications theory, which is a generalization of Shannon's information theory. In groups with more than two systems interacting, which can be regarded as both information transmitters and receivers, information is not only solitarily produced by the particular systems, but also obtained by considering the combined behavior of more than one system. Finally, an example of communications theory application is presented. The statistical interrelationship between the index of stocks of four stock-exchanges and the previous day's notations has been evaluated during a period of three years and described by means of communications theory.
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