Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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C: FINANCE14J36
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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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): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 107
Country: Turkey
Subject: Global Journal of Management and Business Research - C: Finance
Authors: Cumhur Tas, Dr. Gazanfer Aonal (PhD/Dr. count: 1)
View Count (all-time): 122
Total Views (Real + Logic): 4503
Total Downloads (simulated): 2428
Publish Date: 2013 12, Thu
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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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