Time-frequency featured co-movement between the stock and prices of crude oil and gold

被引:57
|
作者
Huang, Shupei [1 ,2 ]
An, Haizhong [1 ,2 ,3 ]
Gao, Xiangyun [1 ,2 ]
Huang, Xuan [1 ,2 ]
机构
[1] China Univ Geosci, Sch Humanities & Econ Management, Beijing 100083, Peoples R China
[2] Minist Land & Resources, Key Lab Carrying Capac Assessment Resource & Envi, Beijing 100083, Peoples R China
[3] China Univ Geosci, Lab Resources & Environm Management, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Wavelet; Time series; Co-movement; WAVELET ANALYSIS; UNIT-ROOT; MARKETS; SERIES; COHERENCE; EUROPE; SHOCKS; PERSPECTIVE; TRANSFORM; PATTERNS;
D O I
10.1016/j.physa.2015.10.080
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The nonlinear relationships among variables caused by the hidden frequency information complicate the time series analysis. To shed more light on this nonlinear issue, we examine their relationships in joint time frequency domain with multivariate framework, and the analyses in the time domain and frequency domain serve as comparisons. The daily Brent oil prices, London gold fixing price and Shanghai Composite index from January 1991 to September 2014 are adopted as example. First, they have long-term cointegration relationship in time domain from holistic perspective. Second, the Granger causality tests in different frequency bands are heterogeneous. Finally, the comparison between results from wavelet coherence and multiple wavelet coherence in the joint time frequency domain indicates that in the high (1-14 days) and medium frequency (14-128 days) bands, the combination of Brent and gold prices has stronger correlation with the stock. In the low frequency band (256-512 days), year 2003 is the structure broken point before which Brent and oil are ideal choice for hedging the risk of the stock market. Thus, this paper offers more details between the Chinese stock market and the commodities markets of crude oil and gold, which suggests that the decisions for different time and frequencies should consider the corresponding benchmark information. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:985 / 995
页数:11
相关论文
共 50 条
  • [21] Time-frequency analysis between Bloomberg Commodity Index (BCOM) and WTI crude oil prices
    Shahzad, Umer
    Jena, Sangram Keshari
    Tiwari, Aviral Kumar
    Doğan, Buhari
    Magazzino, Cosimo
    Resources Policy, 2022, 78
  • [22] Time-frequency analysis between Bloomberg Commodity Index (BCOM) and WTI crude oil prices
    Shahzad, Umer
    Jena, Sangram Keshari
    Tiwari, Aviral Kumar
    Dogan, Buhari
    Magazzino, Cosimo
    RESOURCES POLICY, 2022, 78
  • [23] Co-Movement and Dependency Between New York Stock Exchange, London Stock Exchange, Tokyo Stock Exchange, Oil Price, and Gold Price
    Pastpipatkul, Pathairat
    Yamaka, Woraphon
    Sriboonchitta, Songsak
    INTEGRATED UNCERTAINTY IN KNOWLEDGE MODELLING AND DECISION MAKING, IUKM 2015, 2015, 9376 : 362 - 373
  • [24] Time–frequency co-movement between COVID-19, crude oil prices, and atmospheric CO2 emissions: Fresh global insights from partial and multiple coherence approach
    Yasir Habib
    Enjun Xia
    Zeeshan Fareed
    Shujahat Haider Hashmi
    Environment, Development and Sustainability, 2021, 23 : 9397 - 9417
  • [25] TIME-FREQUENCY CO-MOVEMENT BETWEEN COVID-19 AND PAKISTAN'S STOCK MARKET: EMPIRICAL EVIDENCE FROM WAVELET COHERENCE ANALYSIS
    Ali, Shoaib
    Naveed, Muhammad
    Saleem, Aisha
    Nasir, Muhammad Wajahat
    ANNALS OF FINANCIAL ECONOMICS, 2022, 17 (04)
  • [26] Fundamental and Financial Influences on the Co-movement of Oil and Gas Prices
    Bunn, Derek
    Chevallier, Julien
    Le Pen, Yannick
    Sevi, Benoit
    ENERGY JOURNAL, 2017, 38 (02): : 201 - 228
  • [27] Co-movement in Stock Prices in Emerging Economies: The Case of the Caricom Region
    Cozier, John Gerard
    Watson, Patrick Kent
    INTERNATIONAL ECONOMIC JOURNAL, 2019, 33 (01) : 111 - 127
  • [28] Time-Varying Effect of Gold and Crude Oil prices to Stock Price Index
    Thongkairat, Sukrit
    Tansuchat, Roengchai
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ECONOMICS, FINANCE AND STATISTICS (ICEFS 2017), 2017, 26 : 398 - 402
  • [29] Dynamics of the co-movement between stock and maritime markets
    Erdogan, Oral
    Tata, Kenan
    Karahasan, B. Can
    Sengoz, M. Hakan
    INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2013, 25 : 282 - 290
  • [30] Analysing the spillovers between crude oil prices, stock prices and metal prices: The importance of frequency domain in USA
    Tiwari, Aviral Kumar
    Mishra, Bibhuti Ranjan
    Solarin, Sakiru Adebola
    ENERGY, 2021, 220