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2014 | OriginalPaper | Buchkapitel

Modeling Financial Time Series: Multifractal Cascades and Rényi Entropy

verfasst von : Petr Jizba, Jan Korbel

Erschienen in: ISCS 2013: Interdisciplinary Symposium on Complex Systems

Verlag: Springer Berlin Heidelberg

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Abstract

We show that a number of realistic financial time series can be well mimicked by multiplicative multifractal cascade processes. The key observation is that the multi-scale behavior in financial progressions fits well the multifractal cascade scaling paradigm. Connections with Kolmogorov’s idea of multiplicative cascade of eddies in the well developed turbulence are briefly discussed. To put some flesh on a bare bones we compare volatility time series for S&P 500 stock index with a simulated multiplicative multifractal cascade processes. Qualitative agreement is surprisingly good. Salient issues, such as Codimension functions or Multifractal Diffusion analysis and its role in scaling identification are also discussed.

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Fußnoten
1
We shall note that for \(q<0\) the definition of entropy can be problematic (e.g. can exhibit instabilities, see e.g. Ref. [12]), and therefore shall deal only with \(q \ge 0\).
 
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Metadaten
Titel
Modeling Financial Time Series: Multifractal Cascades and Rényi Entropy
verfasst von
Petr Jizba
Jan Korbel
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-45438-7_22