期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 437, 期 -, 页码 130-138出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2015.05.067
关键词
Long memory; Financial time series; Variational mode decomposition; Detrended fluctuation; Trend; Short term variations
The purpose of this study is to investigate long-range dependence in trend and short variation of stock market price and return series before, during, and after 2008 financial crisis. Variational mode decomposition (VMD), a newly introduced technique for signal processing, is adopted to decompose stock market data into a finite set of modes so as to obtain long term trends and short term movements of stock market data. Then, the detrended fluctuation analysis (DFA) and range scale (R/S) analysis are used to estimate Hurst exponent in each variational mode obtained from VMD. For both price and return series, the empirical results from twelve international stock markets show evidence that long term trends are persistent, whilst short term variations are anti-persistent before, during, and after 2008 financial crisis. (C) 2015 Published by Elsevier B.V.
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