Multifractal analysis of the dynamics of NIKKEI and HKSE Asian stock indices
The paper studies the dynamics of NIKKEI and HKSE stock indices in Asia from 2014 to 2015. The work uses multifractal analysis and R/S analysis to study the dynamics of the stock indices. The research reviews scientific works that has multifractal analysis as the subject of research. The study highl...
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2016-03-01
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Online Access: | http://journals.uran.ua/tarp/article/view/66117 |
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doaj-34d3f8c86fc545f097c12412b0bfd8b72020-11-25T02:14:21ZengPC Technology CenterTehnologìčnij Audit ta Rezervi Virobnictva2226-37802312-83722016-03-0126(28)151810.15587/2312-8372.2016.6611766117Multifractal analysis of the dynamics of NIKKEI and HKSE Asian stock indicesОлена Ігорівна Ляшенко0Катерина Ігорівна Крицун1Taras Shevchenko National University of Kyiv, 90a,Vasylkivska street, Kyiv, Ukraine, 03022Taras Shevchenko National University of Kyiv, 90a,Vasylkivska street, Kyiv, Ukraine, 03022The paper studies the dynamics of NIKKEI and HKSE stock indices in Asia from 2014 to 2015. The work uses multifractal analysis and R/S analysis to study the dynamics of the stock indices. The research reviews scientific works that has multifractal analysis as the subject of research. The study highlights the calculation of Hurst coefficient using Gretl and reveals the presence of memory in the time series. The research shows that time series has multifractal properties detected by SpectrAnalyzer. The paper graphically draws the characteristics of time series such as the multifractal singularity spectrum and dynamics of the fluctuation functions. The authors describe further plans in their study of financial indicators.http://journals.uran.ua/tarp/article/view/66117financial indicatorsmultifractal analysisthe coefficient of Hurst |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Олена Ігорівна Ляшенко Катерина Ігорівна Крицун |
spellingShingle |
Олена Ігорівна Ляшенко Катерина Ігорівна Крицун Multifractal analysis of the dynamics of NIKKEI and HKSE Asian stock indices Tehnologìčnij Audit ta Rezervi Virobnictva financial indicators multifractal analysis the coefficient of Hurst |
author_facet |
Олена Ігорівна Ляшенко Катерина Ігорівна Крицун |
author_sort |
Олена Ігорівна Ляшенко |
title |
Multifractal analysis of the dynamics of NIKKEI and HKSE Asian stock indices |
title_short |
Multifractal analysis of the dynamics of NIKKEI and HKSE Asian stock indices |
title_full |
Multifractal analysis of the dynamics of NIKKEI and HKSE Asian stock indices |
title_fullStr |
Multifractal analysis of the dynamics of NIKKEI and HKSE Asian stock indices |
title_full_unstemmed |
Multifractal analysis of the dynamics of NIKKEI and HKSE Asian stock indices |
title_sort |
multifractal analysis of the dynamics of nikkei and hkse asian stock indices |
publisher |
PC Technology Center |
series |
Tehnologìčnij Audit ta Rezervi Virobnictva |
issn |
2226-3780 2312-8372 |
publishDate |
2016-03-01 |
description |
The paper studies the dynamics of NIKKEI and HKSE stock indices in Asia from 2014 to 2015. The work uses multifractal analysis and R/S analysis to study the dynamics of the stock indices. The research reviews scientific works that has multifractal analysis as the subject of research. The study highlights the calculation of Hurst coefficient using Gretl and reveals the presence of memory in the time series. The research shows that time series has multifractal properties detected by SpectrAnalyzer. The paper graphically draws the characteristics of time series such as the multifractal singularity spectrum and dynamics of the fluctuation functions. The authors describe further plans in their study of financial indicators. |
topic |
financial indicators multifractal analysis the coefficient of Hurst |
url |
http://journals.uran.ua/tarp/article/view/66117 |
work_keys_str_mv |
AT olenaígorívnalâšenko multifractalanalysisofthedynamicsofnikkeiandhkseasianstockindices AT katerinaígorívnakricun multifractalanalysisofthedynamicsofnikkeiandhkseasianstockindices |
_version_ |
1724900082739838976 |