Methods and Techniques for Multifractal Spectrum Estimation in Financial Time Series
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F14%3A00217663" target="_blank" >RIV/68407700:21340/14:00217663 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.asmda.es" target="_blank" >http://www.asmda.es</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Methods and Techniques for Multifractal Spectrum Estimation in Financial Time Series
Popis výsledku v původním jazyce
In this paper, we compare two key approaches used in time series analysis, namely the Multifractal Detrended Fluctuation Analysis and Multifractal Diusion Entropy Analysis. The comparison is done from both the theoretical and numerical point of view. Toput some esh on bare bones, we illustrate our analysis by applying both methods to three model time series. As a fourth illustration we analyze em- pirical time series of daily returns of S&P500 stock index recorded over the 50 years period. We argue that while the Multifractal Detrended Analysis is computationally more ecient, the Multifractal Diusion Entropy Analysis is conceptually cleaner. In addition, the latter allows a wider applicability in cases when time series have underlying distributions that are heavy tailed.
Název v anglickém jazyce
Methods and Techniques for Multifractal Spectrum Estimation in Financial Time Series
Popis výsledku anglicky
In this paper, we compare two key approaches used in time series analysis, namely the Multifractal Detrended Fluctuation Analysis and Multifractal Diusion Entropy Analysis. The comparison is done from both the theoretical and numerical point of view. Toput some esh on bare bones, we illustrate our analysis by applying both methods to three model time series. As a fourth illustration we analyze em- pirical time series of daily returns of S&P500 stock index recorded over the 50 years period. We argue that while the Multifractal Detrended Analysis is computationally more ecient, the Multifractal Diusion Entropy Analysis is conceptually cleaner. In addition, the latter allows a wider applicability in cases when time series have underlying distributions that are heavy tailed.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
BA - Obecná matematika
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GCP402%2F12%2FJ077" target="_blank" >GCP402/12/J077: Aplikace zobecněné statistiky v teorii kritických jevů a ve finančních trzích</a><br>
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů