Asymmetric multiscale multifractal detrended cross-correlation analysis for the 1999–2000 California electricity market

被引:0
|
作者
Fang Wang
Qingju Fan
Kehao Wang
机构
[1] Hunan Agricultural University,College of Science/Agricultural mathematical modeling and data processing center
[2] Wuhan University of Technology,Department of Statistics, School of Science
[3] Wuhan University of Technology,School of Information Engineering
来源
Nonlinear Dynamics | 2018年 / 91卷
关键词
Multiscale multifractal detrended cross-correlation analysis; Asymmetric cross-correlation; Local Hurst surface;
D O I
暂无
中图分类号
学科分类号
摘要
In order to access the asymmetric cross-correlation between two time series in a wide range of scales, the method of asymmetric multiscale multifractal detrended cross-correlation analysis (A-MMFCCA) is proposed in this study, which is an extension of the asymmetric detrended fluctuation analysis and the multifractal cross-correlation analysis. Multiscale multifractal detrended cross-correlation analysis enables us to find that the price and the load series of California electricity market exhibit long-range persistent multifractal cross-correlation at different scale ranges during 1999–2000, and the scale range has an important impact on the fractal properties of cross-correlation. Furthermore, the asymmetric cross-correlation between the price and the load series is detected by means of our proposed A-MMFCCA method. Through comparing the local Hurst surfaces with the uptrends and downtrends, we further find that the asymmetric cross-correlation between the price and the load series in 2000 is more significant than that in 1999; the contribution of asymmetric cross-correlation in 1999–2000 mainly depends on different directional trends at different scale ranges. The findings help to interpret the power crisis phenomenon and develop effective and prospective market policy recommendations.
引用
收藏
页码:1527 / 1540
页数:13
相关论文
共 50 条
  • [1] Asymmetric multiscale multifractal detrended cross-correlation analysis for the 1999-2000 California electricity market
    Wang, Fang
    Fan, Qingju
    Wang, Kehao
    NONLINEAR DYNAMICS, 2018, 91 (03) : 1527 - 1540
  • [2] Multifractal detrended cross-correlation analysis of Indian Electricity market
    Pal, Mayukha
    Rao, P. Madhusudana
    Manimaran, P.
    2015 50TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2015,
  • [3] Multiscale multifractal detrended cross-correlation analysis of traffic flow
    Yi Yin
    Pengjian Shang
    Nonlinear Dynamics, 2015, 81 : 1329 - 1347
  • [4] Multiscale multifractal detrended cross-correlation analysis of traffic flow
    Yin, Yi
    Shang, Pengjian
    NONLINEAR DYNAMICS, 2015, 81 (03) : 1329 - 1347
  • [5] Multifractal Detrended Cross-correlation Analysis of Market Clearing Price of electricity and SENSEX in India
    Ghosh, Dipak
    Dutta, Srimonti
    Chakraborty, Sayantan
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 434 : 52 - 59
  • [6] Multiscale multifractal detrended cross-correlation analysis of financial time series
    Shi, Wenbin
    Shang, Pengjian
    Wang, Jing
    Lin, Aijing
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2014, 403 : 35 - 44
  • [7] A novel coefficient for detecting and quantifying asymmetry of California electricity market based on asymmetric detrended cross-correlation analysis
    Wang, Fang
    CHAOS, 2016, 26 (06)
  • [8] Multifractal Detrended Cross-Correlation Analysis of Electricity and Carbon Markets in China
    Zou, Shaohui
    Zhang, Tian
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2019, 2019
  • [9] Multifractal cross-correlation analysis in electricity spot market
    Fan, Qingju
    Li, Dan
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 429 : 17 - 27
  • [10] Detrended cross-correlation analysis approach for assessing asymmetric multifractal detrended cross-correlations and their application to the Chinese financial market
    Cao, Guangxi
    Cao, Jie
    Xu, Longbing
    He, LingYun
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2014, 393 : 460 - 469