Multifractal Behaviour in Natural Gas Prices by using MF-DFA and WTMM Methods

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Cumhur Tas
Cumhur Tas
2
Dr. Gazanfer Aonal
Dr. Gazanfer Aonal
1 Yeditepe University

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GJMBR Volume 13 Issue C11

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We make a comparative study of Multifractal Detrended Fluctuation Analysis (MF DFA) and the Wavelet Transform Modulus Maxima (WTMM) method to detect multifractal character of natural gas daily returns. We give a brief introduction on above methods and compare their effectiveness. The results from this methodoligies show that behaviour of natural gas daily returns were multifractal. The major sources of multifractality are long-range correlations of small and large fluctuations and Fat-tail distributions of the series.

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References

  1. B Manderlbrot (1982). The Fractal Geometry ofNature.
  2. W Kantelhardt,S Zschiegner,E Koscienlny-Bunde,S Havlin (2002). Multifractal detrended fluctuation analysis of nonstationary time series.
  3. J Muzy,E Bacry,A Arneodo (1994). The multifractal formalism revisited with wavelets.
  4. Z R Struzik (2000). Determining local singularity strengths and their spectra with the wavelet transform.
  5. Andrejs Puckovs,Andrejs Matvejevs (2012). Wavelet Transform Modulus Maxima Approach for World Stock Index Multifractal Analysis.
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  7. K Matia,Y Ashkenazy,H Stanley (2003). Multifractal properties of price fluctuations of stock and commodities.
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  10. R Yalamova (2003). Wavelet Analysis.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Cumhur Tas. 2013. \u201cMultifractal Behaviour in Natural Gas Prices by using MF-DFA and WTMM Methods\u201d. Global Journal of Management and Business Research - C: Finance GJMBR-C Volume 13 (GJMBR Volume 13 Issue C11): .

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Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

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v1.2

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December 19, 2013

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English

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We make a comparative study of Multifractal Detrended Fluctuation Analysis (MF DFA) and the Wavelet Transform Modulus Maxima (WTMM) method to detect multifractal character of natural gas daily returns. We give a brief introduction on above methods and compare their effectiveness. The results from this methodoligies show that behaviour of natural gas daily returns were multifractal. The major sources of multifractality are long-range correlations of small and large fluctuations and Fat-tail distributions of the series.

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Multifractal Behaviour in Natural Gas Prices by using MF-DFA and WTMM Methods

Cumhur Tas
Cumhur Tas Yeditepe University
Dr. Gazanfer Aonal
Dr. Gazanfer Aonal

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