Abstract
The goal of this study is to analyze the dynamical properties of financial data series from nineteen worldwide stock market indices (SMI) during the period 1995–2009. SMI reveal a complex behavior that can be explored since it is available a considerable volume of data. In this paper is applied the window Fourier transform and methods of fractional calculus. The results reveal classification patterns typical of fractional order systems.
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Machado, J.T., Duarte, F.B. & Duarte, G.M. Analysis of financial indices by means of the windowed Fourier transform. SIViP 6, 487–494 (2012). https://doi.org/10.1007/s11760-012-0331-3
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DOI: https://doi.org/10.1007/s11760-012-0331-3