Self-similar approach to market analysis |
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Authors: | VI Yukalov |
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Institution: | (1) Bogolubov Laboratory of Theoretical Physics, Joint Institute for Nuclear Research, Dubna 141980, Russia, RU |
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Abstract: | A novel approach to analyzing time series generated by complex systems, such as markets, is presented. The basic idea of the
approach is the Law of Self-Similar Evolution, according to which any complex system develops self-similarly. There always exist some internal laws governing the evolution
of a system, say of a market, so that each of such systems possesses its own character regulating its behaviour. The problem
is how to discover these hidden internal laws defining the system character. This problem can be solved by employing the self-similar approximation theory, which supplies the mathematical foundation for the law of self-similar evolution. In this report, the theoretical basis
of the new approach to analyzing time series is formulated, with an accurate explanation of its principal points.
Received 15 August 2000 |
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Keywords: | PACS 01 75 +m Science and society – 02 30 Lt Sequences series and summability – 02 50 -r Probability theory stochasticprocesses and statistics |
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