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This article is cited in 2 scientific papers (total in 2 papers)
Short Communication
Mathematical Modelling
High volatile markets analysis with using Berg method and Chebyshev type II filters, and statistical modeling of the risk of loss for its tools
A. P. Kotenko, M. B. Bukarenko Dept. of Applied Mathematics and Computer Science, Samara State Technical University, Samara
(published under the terms of the Creative Commons Attribution 4.0 International License)
Abstract:
We describe the method of technical analysis of highly volatile markets in the framework of signal processing theory, which uses Chebyshev filter. Berg method is used to estimate spectral density of the signal power. The algorithm of optimal AR-model order calculation is given. The method for profit rate estimation based on artificial noise generation, preserving its structure, is developed.
Keywords:
linear filter, median filter, Chebyshev filter, spectral estimation, Berg method.
Original article submitted 03/XI/2010 revision submitted – 05/VI/2011
Citation:
A. P. Kotenko, M. B. Bukarenko, “High volatile markets analysis with using Berg method and Chebyshev type II filters, and statistical modeling of the risk of loss for its tools”, Vestn. Samar. Gos. Tekhn. Univ., Ser. Fiz.-Mat. Nauki [J. Samara State Tech. Univ., Ser. Phys. Math. Sci.], 3(24) (2011), 189–192
Linking options:
https://www.mathnet.ru/eng/vsgtu838 https://www.mathnet.ru/eng/vsgtu/v124/p189
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