IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v68y2020ics0301420719306695.html
   My bibliography  Save this article

Time-varying network analysis of fluctuations between crude oil and Chinese and U.S. gold prices in different periods

Author

Listed:
  • Li, Panpan
  • Dong, Zhiliang

Abstract

Gold has both commodity, monetary, and financial attributes and is a symbol of assets. The price of gold is not only affected by the relationship between the supply and demand of goods but also by economic and political changes. Crude oil crises, financial crises, etc. can cause the price of gold to fluctuate. We used a complex network method to study the correlation between crude oil and gold prices. First, the period was divided according to the fluctuation of crude oil prices. Then, the symbolic, coarse-grained methods of use to constructed mode. Finally, the following were defined: the mode as nodes, the transmission between the modes as edges, and the transmission frequency as the weight to construct the network. The network analysis results show that the network characteristics in the different periods are different. The changes of key mode in the correlation between crude oil and gold require at least 3–6 days, and more inclined to maintain the same state during the mode transformation. The change in the correlation between crude oil and gold can be changed from a positive (negative) to negative (positive) only with the help of the media mode. Crude oil is more correlated with US gold prices. By studying the correlation between crude oil and gold, this paper can manage price fluctuations in different markets and provide a reference for investors and policymakers.

Suggested Citation

  • Li, Panpan & Dong, Zhiliang, 2020. "Time-varying network analysis of fluctuations between crude oil and Chinese and U.S. gold prices in different periods," Resources Policy, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:jrpoli:v:68:y:2020:i:c:s0301420719306695
    DOI: 10.1016/j.resourpol.2020.101749
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420719306695
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2020.101749?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Narayan, Paresh Kumar & Narayan, Seema & Zheng, Xinwei, 2010. "Gold and oil futures markets: Are markets efficient?," Applied Energy, Elsevier, vol. 87(10), pages 3299-3303, October.
    2. Taimur Baig & Ilan Goldfajn, 1999. "Financial Market Contagion in the Asian Crisis," IMF Staff Papers, Palgrave Macmillan, vol. 46(2), pages 1-3.
    3. Zhang, Yue-Jun & Zhang, Lu, 2015. "Interpreting the crude oil price movements: Evidence from the Markov regime switching model," Applied Energy, Elsevier, vol. 143(C), pages 96-109.
    4. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    5. Wang, Yu Shan & Chueh, Yen Ling, 2013. "Dynamic transmission effects between the interest rate, the US dollar, and gold and crude oil prices," Economic Modelling, Elsevier, vol. 30(C), pages 792-798.
    6. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Huang, Xuan, 2016. "Time–frequency featured co-movement between the stock and prices of crude oil and gold," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 985-995.
    7. An, Haizhong & Gao, Xiangyun & Fang, Wei & Ding, Yinghui & Zhong, Weiqiong, 2014. "Research on patterns in the fluctuation of the co-movement between crude oil futures and spot prices: A complex network approach," Applied Energy, Elsevier, vol. 136(C), pages 1067-1075.
    8. Tiwari, Aviral Kumar & Sahadudheen, I., 2015. "Understanding the nexus between oil and gold," Resources Policy, Elsevier, vol. 46(P2), pages 85-91.
    9. An, Yang & Sun, Mei & Gao, Cuixia & Han, Dun & Li, Xiuming, 2018. "Analysis of the impact of crude oil price fluctuations on China’s stock market in different periods—Based on time series network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1016-1031.
    10. Zhang, Yue-Jun & Wei, Yi-Ming, 2010. "The crude oil market and the gold market: Evidence for cointegration, causality and price discovery," Resources Policy, Elsevier, vol. 35(3), pages 168-177, September.
    11. Jain, Anshul & Biswal, P.C., 2016. "Dynamic linkages among oil price, gold price, exchange rate, and stock market in India," Resources Policy, Elsevier, vol. 49(C), pages 179-185.
    12. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    13. Semei Coronado, Rebeca Jiménez-Rodrguez, and Omar Rojas, 2018. "An Empirical Analysis of the Relationships between Crude Oil, Gold and Stock Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    14. Wang, Minggang & Tian, Lixin & Du, Ruijin, 2016. "Research on the interaction patterns among the global crude oil import dependency countries: A complex network approach," Applied Energy, Elsevier, vol. 180(C), pages 779-791.
    15. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016. "Gold, oil, and stocks: Dynamic correlations," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 186-201.
    16. Kumar, Satish, 2017. "On the nonlinear relation between crude oil and gold," Resources Policy, Elsevier, vol. 51(C), pages 219-224.
    17. Bouri, Elie & Jain, Anshul & Biswal, P.C. & Roubaud, David, 2017. "Cointegration and nonlinear causality amongst gold, oil, and the Indian stock market: Evidence from implied volatility indices," Resources Policy, Elsevier, vol. 52(C), pages 201-206.
    18. repec:cii:cepiei:2012-q3-131-4 is not listed on IDEAS
    19. Reboredo, Juan C., 2013. "Is gold a hedge or safe haven against oil price movements?," Resources Policy, Elsevier, vol. 38(2), pages 130-137.
    20. Thai-Ha Le & Youngho Chang, 2012. "Oil Price Shocks and Gold Returns," International Economics, CEPII research center, issue 131, pages 71-104.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Zhu, You & Uddin, Gazi Salah, 2023. "Analysing and forecasting co-movement between innovative and traditional financial assets based on complex network and machine learning," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Wei, Yu & Wang, Zhuo & Li, Dongxin & Chen, Xiaodan, 2022. "Can infectious disease pandemic impact the long-term volatility and correlation of gold and crude oil markets?," Finance Research Letters, Elsevier, vol. 47(PA).
    3. Jiang, Qisheng & Cheng, Sheng, 2021. "How the fiscal and monetary policy uncertainty of China respond to global oil price volatility: A multi-regime-on-scale approach," Resources Policy, Elsevier, vol. 72(C).
    4. Zhang, Zitao & Qin, Yun, 2022. "Study on the nonlinear interactions among the international oil price, the RMB exchange rate and China's gold price," Resources Policy, Elsevier, vol. 77(C).
    5. Zhang, Dongyang & Bai, Dingchuan & Chen, Xingyu, 2024. "Can crude oil futures market volatility motivate peer firms in competing ESG performance? An exploration of Shanghai International Energy Exchange," Energy Economics, Elsevier, vol. 129(C).
    6. Xie, Wen-Jie & Wei, Na & Zhou, Wei-Xing, 2023. "An interpretable machine-learned model for international oil trade network," Resources Policy, Elsevier, vol. 82(C).
    7. Qian Wang & Yu Wei & Yifeng Zhang & Yuntong Liu, 2023. "Evaluating the Safe-Haven Abilities of Bitcoin and Gold for Crude Oil Market: Evidence During the COVID-19 Pandemic," Evaluation Review, , vol. 47(3), pages 391-432, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Golitsis, Petros & Gkasis, Pavlos & Bellos, Sotirios K., 2022. "Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    2. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2020. "The hedging effectiveness of industrial metals against different oil shocks: Evidence from the four newly developed oil shocks datasets," Resources Policy, Elsevier, vol. 69(C).
    3. Akkoc, Ugur & Civcir, Irfan, 2019. "Dynamic linkages between strategic commodities and stock market in Turkey: Evidence from SVAR-DCC-GARCH model," Resources Policy, Elsevier, vol. 62(C), pages 231-239.
    4. Wang, Xinya & Lucey, Brian & Huang, Shupei, 2022. "Can gold hedge against oil price movements: Evidence from GARCH-EVT wavelet modeling," Journal of Commodity Markets, Elsevier, vol. 27(C).
    5. Huang, Jianbai & Dong, Xuesong & Chen, Jinyu & Zhong, Meirui, 2022. "Do oil prices and economic policy uncertainty matter for precious metal returns? New insights from a TVP-VAR framework," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 433-445.
    6. Salisu, Afees A. & Adediran, Idris, 2020. "Gold as a hedge against oil shocks: Evidence from new datasets for oil shocks," Resources Policy, Elsevier, vol. 66(C).
    7. Mishra, Aswini Kumar & Ghate, Kshitish & Renganathan, Jayashree & Kennet, Joushita J. & Rajderkar, Nilay Pradeep, 2022. "Rolling, recursive evolving and asymmetric causality between crude oil and gold prices: Evidence from an emerging market," Resources Policy, Elsevier, vol. 75(C).
    8. Raggad, Bechir & Bouri, Elie, 2023. "Gold and crude oil: A time-varying causality across various market conditions," Resources Policy, Elsevier, vol. 86(PA).
    9. Muhammad Shafiullah & Sajid M. Chaudhry & Muhammad Shahbaz & Juan C. Reboredo, 2021. "Quantile causality and dependence between crude oil and precious metal prices," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6264-6280, October.
    10. Mohamed Arbi Madani & Zied Ftiti, 2019. "The Generalisation of the DMCA Coefficient to Serve Distinguishing Between Hedge and Safe Haven Capabilities of the Gold," Papers 1912.12590, arXiv.org.
    11. İrfan Civcir & Uğur Akkoç, 2021. "Dynamic volatility linkages and hedging between commodities and sectoral stock returns in Turkey: Evidence from SVAR‐cDCC‐GARCH model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1978-1992, April.
    12. Aguilera, Roberto F. & Radetzki, Marian, 2017. "The synchronized and exceptional price performance of oil and gold: Explanations and prospects," Resources Policy, Elsevier, vol. 54(C), pages 81-87.
    13. Mohamed Albaity & Hasan Mustafa, 2018. "International and Macroeconomic Determinants of Oil Price: Evidence from Gulf Cooperation Council Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 8(1), pages 69-81.
    14. Cheng, Sheng & Han, Lingyu & Cao, Yan & Jiang, Qisheng & Liang, Ruibin, 2022. "Gold-oil dynamic relationship and the asymmetric role of geopolitical risks: Evidence from Bayesian pdBEKK-GARCH with regime switching," Resources Policy, Elsevier, vol. 78(C).
    15. Tiwari, Aviral Kumar & Mishra, Bibhuti Ranjan & Solarin, Sakiru Adebola, 2021. "Analysing the spillovers between crude oil prices, stock prices and metal prices: The importance of frequency domain in USA," Energy, Elsevier, vol. 220(C).
    16. Mongi Arfaoui & Aymen Ben Rejeb, 2017. "Oil, gold, US dollar and stock market interdependencies: a global analytical insight," European Journal of Management and Business Economics, Emerald Group Publishing Limited, vol. 26(3), pages 278-293, October.
    17. Dutta, Anupam & Bouri, Elie & Roubaud, David, 2019. "Nonlinear relationships amongst the implied volatilities of crude oil and precious metals," Resources Policy, Elsevier, vol. 61(C), pages 473-478.
    18. Kanjilal, Kakali & Ghosh, Sajal, 2017. "Dynamics of crude oil and gold price post 2008 global financial crisis – New evidence from threshold vector error-correction model," Resources Policy, Elsevier, vol. 52(C), pages 358-365.
    19. Ben Salem, Leila & Nouira, Ridha & Jeguirim, Khaled & Rault, Christophe, 2022. "The determinants of crude oil prices: Evidence from ARDL and nonlinear ARDL approaches," Resources Policy, Elsevier, vol. 79(C).
    20. Cui, Moyang & Wong, Wing-Keung & Wisetsri, Worakamol & Mabrouk, Fatma & Muda, Iskandar & Li, Zeyun & Hassan, Marria, 2023. "Do oil, gold and metallic price volatilities prove gold as a safe haven during COVID-19 pandemic? Novel evidence from COVID-19 data," Resources Policy, Elsevier, vol. 80(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:68:y:2020:i:c:s0301420719306695. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.