Interplay of multifractal dynamics between shadow policy rates and energy markets

被引:1
|
作者
Aslam, Faheem [1 ,2 ]
Hunjra, Ahmed Imran [3 ]
Memon, Bilal Ahmed [4 ]
Zhang, Mingda [5 ]
机构
[1] Al Akhawayn Univ, Sch Business Adm SBA, Ifrane, Morocco
[2] COMSATS Univ, Dept Management Sci, Pk Rd, Islamabad 45550, Pakistan
[3] Int Univ Rabat, Rabat Business Sch, Rabat, Morocco
[4] Westminster Int Univ Tashkent, Sch Business & Econ, Tashkent, Uzbekistan
[5] SUNY Albany, Dept Econ, Albany, NY 12222 USA
关键词
Short Shadow Rates; Energy Prices; Monetary Policy; Cross Correlation Analysis; MONETARY-POLICY; CROSS-CORRELATIONS; GLOBAL LIQUIDITY; CRUDE-OIL; COMMODITY; PRICE; IMPACT; VOLUME; UNCERTAINTY; DEPENDENCE;
D O I
10.1016/j.najef.2024.102085
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study examines the interconnections between short shadow rates (SSR) and energy markets. We conduct multifractal detrended cross -correlation analysis (MF-DXA) on the daily SSR from four major economies (USA, Eurozone, Japan, and UK) and the daily prices of four energy markets (WTI, Brent, Natural Gas, and Heating Oil) spanning January 1995 to March 2022. Our analysis shows that all energy market -short shadow rate pairs display significant multifractal characteristics. The presence of power law cross -correlation suggests that substantial changes in short shadow rates are associated with significant price changes in energy markets. The highest multifractal cross -correlation is observed between energy prices and shadow short rates of Japan and the US. Energy markets demonstrate persistent cross -correlations for small fluctuations compared to large fluctuations. However, the rolling windows analysis reveal a shift from persistent to anti -persistence cross -correlations during global financial crises (GFC), the 2014-2016 energy crises and the COVID-19 pandemic. Lastly, the cross -correlation exhibit positive skewness. We suggest that integrating these long-term dependency features into financial analysis has the potential to support decision -making for market participants.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Interplay of multifractal dynamics between shadow policy rates and stock markets
    Aslam, Faheem
    Mohti, Wahbeeah
    Ali, Haider
    Ferreira, Paulo
    HELIYON, 2023, 9 (07)
  • [2] Application of Multifractal Analysis in Estimating the Reaction of Energy Markets to Geopolitical Acts and Threats
    Aslam, Faheem
    Ferreira, Paulo
    Ali, Haider
    Jose, Ana Ercilia
    SUSTAINABILITY, 2022, 14 (10)
  • [3] On the relationship between energy returns and trading volume: a multifractal analysis
    Ftiti, Zied
    Jawadi, Fredj
    Louhichi, Wael
    Madani, Mohamed Arbi
    APPLIED ECONOMICS, 2019, 51 (29) : 3122 - 3136
  • [4] Interplay between stock trading volume, policy, and investor sentiment: A multifractal approach
    Pan, Yueling
    Hou, Lei
    Pan, Xue
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 603
  • [5] Multifractal Fluctuation Analysis of Correlations Between the Sector Stock Markets in China and the US
    Feng, You-Shuai
    Wang, Hong-Yong
    FLUCTUATION AND NOISE LETTERS, 2021, 20 (04):
  • [6] Interplay Multifractal Dynamics Among Carbon Trading Market, Geopolitical Risk and Economic Policy Uncertainty
    Feng, You-Shuai
    Ling, Mei-Jun
    Gao, Jing
    FLUCTUATION AND NOISE LETTERS, 2024, 23 (03):
  • [7] Multifractal behavior relationship between crypto markets and Wikipedia-Reddit online platforms
    Telli, Sahin
    Chen, Hongzhuan
    CHAOS SOLITONS & FRACTALS, 2021, 152
  • [8] Does clean energy matter? Revisiting the spillovers between energy and foreign exchange markets
    Liu, Yang
    Qiao, Tongshuai
    Han, Liyan
    JOURNAL OF FUTURES MARKETS, 2022, 42 (11) : 2068 - 2083
  • [9] Multifractal detrended cross-correlation analysis and frequency dynamics of connectedness for energy futures markets
    Wang, Bangcan
    Wei, Yu
    Xing, Yuhui
    Ding, Wenjiao
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 527
  • [10] Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?
    Assaf, Ata
    Charif, Husni
    Mokni, Khaled
    RESOURCES POLICY, 2021, 72 (72)