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A novel coefficient for detecting and quantifying asymmetry of California electricity market based on asymmetric detrended cross-correlation analysis

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成果类型:
期刊论文
作者:
Wang, Fang*
通讯作者:
Wang, Fang
作者机构:
[Wang, Fang] Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Wang, Fang] H
Hunan Agr Univ, Coll Sci, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
power markets;statistical analysis;time series
期刊:
CHAOS
ISSN:
1054-1500
年:
2016
卷:
26
期:
6
页码:
063109
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [31501227]; Social Science Foundation of Hunan Province [15YBA204]; Key R & D Project Funds of Hunan Province, China [2015JC3098]; Young Scholar Project Funds of the Department of Education of Hunan Province, China [14B087]
机构署名:
本校为第一且通讯机构
院系归属:
理学院
摘要:
In order to detect and quantify asymmetry of two time series, a novel cross-correlation coefficient is proposed based on recent asymmetric detrended cross-correlation analysis (A-DXA), which we called A-DXA coefficient. The A-DXA coefficient, as an important extension of DXA coefficient rho(DXA), contains two directional asymmetric cross-correlated indexes, describing upwards and downwards asymmetric cross-correlations, respectively. By using the information of directional covariance function of two time series and directional variance function of each series itself instead of power-law betwee...

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