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Multifractal Diffusion Entropy Analysis: Applications to 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%2F14%3A00237853" target="_blank" >RIV/68407700:21340/14:00237853 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multifractal Diffusion Entropy Analysis: Applications to Financial Time Series

  • Original language description

    Scaling behavior of time series is the key aspect that enables one to reveal the relevant temporal dynamical scales. In this respect, a multifractal theory represents a powerful approach in complex dynamical systems that is designed for the study of scaling behavior. In this framework the estimation of multifractal spectrum is one of popular methods allowing one to detect and quantify the underlying complexity present in the system. Among many different approaches, the Multifractal Diffusion Entropy Analysis, based on estimation of Renyi entropy, provides an innovative approach for evaluation of multifractal exponents. In the recent article [1], we have shown that the proper estimation of probability histograms is crucial for correct evaluation of Renyi entropy and ensuing multifractal exponents. In this paper we summarize our recent results and apply them to various real financial time series, recorded both on minute and daily basis. Our aim is to illustrate the potency of the method

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-07983S" target="_blank" >GA14-07983S: Vacuum structure in Quantum Field Theories</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    International work-conference on Time Series 2014

  • ISBN

    978-84-15814-97-9

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    87-96

  • Publisher name

    Universidad de Granada

  • Place of publication

    Granada

  • Event location

    Granada

  • Event date

    Jun 25, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000359136600012