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Applicattions of Multifractal Diffusion Entropy Analysis to Daily and Intraday Financial Time Series

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F15%3A00221495" target="_blank" >RIV/68407700:21340/15:00221495 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-319-10759-2_34" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-10759-2_34</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-10759-2_34" target="_blank" >10.1007/978-3-319-10759-2_34</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Applicattions of Multifractal Diffusion Entropy Analysis to Daily and Intraday Financial Time Series

  • Original language description

    Scaling properties and fractal structure are one of the most important aspects of real systems that point to their complexity. These properties are closely related to the theory of multifractal systems and theory of entropy. Estimation of scaling (or multifractal) exponents belongs to the essential techniques in that can to reveal complexity and inner structure of the system. To successful techniques belongs Multifractaldiffusion entropy analysis, based on estimation of Rényi entropy of the system. In the recent article [1], we have discussed one possible method to estimate the entropy from proper estimation of underlying probability histograms. We have applied the method to daily and intraday financial data in order to test the stability of the system. This article summarizes existing progress in this field and shows the robustness of the method on high-frequency financial data.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BE - Theoretical physics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GCP402%2F12%2FJ077" target="_blank" >GCP402/12/J077: Application of generalized statistics in critical phenomena and financial markets</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ISCS 2014: Interdisciplinary Symposium on Complex Systems

  • ISBN

    978-3-319-10758-5

  • ISSN

    2194-7287

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    333-342

  • Publisher name

    Springer

  • Place of publication

    Dordrecht

  • Event location

    Florence

  • Event date

    Sep 15, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article