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Asymmetric Multifractal Analysis of Rebar Futures and Spot Market in China
Author(s) -
Qiaoyan Zhang,
Lixian Wang,
Jin Shang,
Xiaozhen Hao,
Zhenlong Chen
Publication year - 2020
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2020.p0282
Subject(s) - multifractal system , futures contract , detrended fluctuation analysis , wavelet , computer science , correlation , statistical physics , econometrics , mathematics , economics , artificial intelligence , physics , scaling , financial economics , mathematical analysis , fractal , geometry
In this study, a wavelet denoising method is first used to eliminate the influence of noise. Then, an overlapping smooth window technique is introduced into the asymmetric multifractal detrended cross-correlation analysis method, which was combined with the multiscale multifractal analysis method, resulting in the proposed asymmetric multiscale multifractal detrended cross-correlation analysis method. This method not only remedies the pseudo-fluctuation defect of the traditional method, but also explores the asymmetric multifractal cross-correlation between China’s rebar futures and spot markets at different scales. The results show the existence of an asymmetric multifractal cross-correlation between rebar futures and spot markets with upward and downward trends at different scales. This cross-correlation is highly complex at the small-scale, and more pronounced when the futures market is in an uptrend.

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