Multifractal Analysis of International Energy and Agricultural Markets Under the Influence of Russia-Ukraine Conflict

被引:0
作者
Wei, Jing-Wen [1 ,2 ]
Wang, Hong-Yong [2 ]
Cao, Guang-Xi [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China
[2] Nanjing Univ Finance & Econ, Sch Appl Math, Nanjing 210023, Peoples R China
来源
FLUCTUATION AND NOISE LETTERS | 2024年 / 23卷 / 04期
关键词
Energy markets; agricultural markets; cross-correlations; multifractal analysis; Russia-Ukraine conflict; DETRENDED FLUCTUATION ANALYSIS;
D O I
10.1142/S0219477524500342
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Taking six representative futures in the international energy and agricultural markets as the research objects, we use multifractal analysis methods to study the fluctuation characteristics, market risks and cross-correlations within and between these markets before and after the outbreak of the Russia-Ukraine conflict in this paper. The empirical results show that both the auto-correlations and cross-correlations have obvious multifractal features. It is confirmed that the multifractal strength and market risks of the international energy markets have weakened, while those of the international agricultural markets have enhanced after the Russia-Ukraine conflict broke out. In addition, the Russia-Ukraine conflict has intensified the strength of the multifractality and the degree of fluctuation complexity between these two classes of international markets. Further, the intrinsic multifractal natures of cross-correlations are tested, and the apparent and intrinsic multifractality before and after the conflict are revealed. Finally, some policy suggestions are put forward based on the empirical results.
引用
收藏
页数:30
相关论文
共 48 条
[1]  
Bilal H. X., 2022, RESOUR POLICY77
[2]   Effect of nonlinear correlations on the statistics of return intervals in multifractal data sets [J].
Bogachev, Mikhail I. ;
Eichner, Jan F. ;
Bunde, Armin .
PHYSICAL REVIEW LETTERS, 2007, 99 (24)
[3]   Measuring Geopolitical Risk [J].
Caldara, Dario ;
Iacoviello, Matteo .
AMERICAN ECONOMIC REVIEW, 2022, 112 (04) :1194-1225
[4]  
Chen Y. Wei, 2023, FINANC RES LETT, V53
[5]   Analysis of the Czech Intraday Electricity Market During COVID-19 Pandemic from the Multifractal Perspective [J].
Curpek, Juraj .
FLUCTUATION AND NOISE LETTERS, 2023, 22 (03)
[6]   Quantitative features of multifractal subtleties in time series [J].
Drozdz, S. ;
Kwapien, J. ;
Oswiecimka, P. ;
Rak, R. .
EPL, 2009, 88 (06)
[7]  
Du Z. W., 2022, PROCEDIA COMPUT SCI, V214, P935
[8]   Multiscale multifractal detrended fluctuation analysis of multivariate time series [J].
Fan, Qingju ;
Liu, Shuanggui ;
Wang, Kehao .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 532
[9]   The Russia-Ukraine conflict and volatility risk of commodity markets [J].
Fang, Yi ;
Shao, Zhiquan .
FINANCE RESEARCH LETTERS, 2022, 50
[10]  
Federle A., 2022, CEPR DISCUSSION PAPE