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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Fourier transform Windowed Fourier transform Power law Dynamics
Contexto Educativo
Citação
Editora
Springer
