In this paper, we investigate the impacts of oil price changes on energy stocks in Chinese stock market from the multifractal perspective. The well-known multifractal detrended fluctuation analysis (MF-DFA) is applied to detect the multifractality. We find that both returns and volatilities of energy industry index display apparent multifractal behavior. Oil market activity is an important source of multifractality in energy stocks index in addition to long-range correlations and fat-tail distributions. (C) 2016 Elsevier B.V. All rights reserved.
机构:
Department of Geography and Resource Management,The Chinese University of Hong KongDepartment of Geography and Resource Management,The Chinese University of Hong Kong
周煜
梁怡
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机构:
Department of Geography and Resource Management,The Chinese University of Hong Kong
Center for Environmental Policy and Resource Management,The Chinese University of Hong Kong
Institute of Space and Earth Information Science,The Chinese University of Hong KongDepartment of Geography and Resource Management,The Chinese University of Hong Kong
梁怡
喻祖国
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机构:
Discipline of Mathematical Sciences,Faculty of Science and Technology,Queensland University of Technology
School of Mathematics and Computational Science,Xiangtan UniversityDepartment of Geography and Resource Management,The Chinese University of Hong Kong
机构:
Chinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Hong Kong, Peoples R China
Zhou Yu
Leung Yee
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机构:
Chinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Ctr Environm Policy & Resource Management, Hong Kong, Hong Kong, Peoples R China
Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Hong Kong, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Hong Kong, Peoples R China
Leung Yee
Yu Zu-Guo
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机构:
Queensland Univ Technol, Fac Sci & Technol, Discipline Math Sci, Brisbane, Q 4001, Australia
Xiangtan Univ, Sch Math & Computat Sci, Xiangtan 411105, Hunan, Peoples R ChinaChinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong, Hong Kong, Peoples R China