IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v62y2019icp218-230.html
   My bibliography  Save this article

Gold prices fluctuation of co-movement forecast between China and Russia

Author

Listed:
  • Zhong, Wanxing
  • Kong, Rui
  • Chen, Guang

Abstract

In the past two years, China's gold development and investment in Russia has become a trend, the paper is conducted to provide the price reference for gold investors. This paper based on coarse-graining and complex network theory to build the fluctuation of gold prices' co-movement network structure by using the average prices of gold. Then analyzed the network patterns of critical co-movement modes, group, conversion and transition of the co-movement modes. The results show that the complex network is formed by one small group with 11 core modes and two large groups with the core modes of weak positive co-movement (yyyy) and weak negative co-movement (nnnn). The conversion between modes of different large groups requires an average of 6 days. Using weights of the nodes as probability to predict 185 days prices' co-movement from September 2017 to September 2018. The results may provide preferences for investors to avoid risks.

Suggested Citation

  • Zhong, Wanxing & Kong, Rui & Chen, Guang, 2019. "Gold prices fluctuation of co-movement forecast between China and Russia," Resources Policy, Elsevier, vol. 62(C), pages 218-230.
    • Handle: RePEc:eee:jrpoli:v:62:y:2019:i:c:p:218-230
    DOI: 10.1016/j.resourpol.2019.03.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420718303325
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2019.03.012?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. Zhang, Pei-Pei & Kan Chen, & He, Yue & Zhou, Tao & Su, Bei-Bei & Jin, Yingdi & Chang, Hui & Zhou, Yue-Ping & Sun, Li-Cheng & Wang, Bing-Hong & He, Da-Ren, 2006. "Model and empirical study on some collaboration networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 599-616.
    2. Mayer, Herbert & Rathgeber, Andreas & Wanner, Markus, 2017. "Financialization of metal markets: Does futures trading influence spot prices and volatility?," Resources Policy, Elsevier, vol. 53(C), pages 300-316.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Wang, Kuan-Min & Lee, Yuan-Ming & Thi, Thanh-Binh Nguyen, 2011. "Time and place where gold acts as an inflation hedge: An application of long-run and short-run threshold model," Economic Modelling, Elsevier, vol. 28(3), pages 806-819, May.
    5. Ramaprasad Bhar & Shigeyuki Hamori, 2004. "Information Flow between Price Change and Trading Volume in Gold Futures Contracts," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 3(1), pages 45-56, April.
    6. 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.
    7. Klaus North & Gita Kumta, 2018. "Knowledge Management," Springer Texts in Business and Economics, Springer, edition 2, number 978-3-319-59978-6, August.
    8. Apergis, Nicholas, 2014. "Can gold prices forecast the Australian dollar movements?," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 75-82.
    9. 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.
    10. Irandoust, Manuchehr, 2017. "Metal prices and stock market performance: Is there an empirical link?," Resources Policy, Elsevier, vol. 52(C), pages 389-392.
    11. Hou, Wenyu & Liu, Huifang & Wang, Hui & Wu, Fengyang, 2018. "Structure and patterns of the international rare earths trade: A complex network analysis," Resources Policy, Elsevier, vol. 55(C), pages 133-142.
    12. Aye, Goodness C. & Carcel, Hector & Gil-Alana, Luis A. & Gupta, Rangan, 2017. "Does gold act as a hedge against inflation in the UK? Evidence from a fractional cointegration approach over 1257 to 2016," Resources Policy, Elsevier, vol. 54(C), pages 53-57.
    13. Mensi, Walid & Hkiri, Besma & Al-Yahyaee, Khamis H. & Kang, Sang Hoon, 2018. "Analyzing time–frequency co-movements across gold and oil prices with BRICS stock markets: A VaR based on wavelet approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 74-102.
    14. Beckmann, Joscha & Czudaj, Robert & Pilbeam, Keith, 2015. "Causality and volatility patterns between gold prices and exchange rates," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 292-300.
    15. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    16. Zhu, Yanhui & Fan, Jingwen & Tucker, Jon, 2018. "The impact of monetary policy on gold price dynamics," Research in International Business and Finance, Elsevier, vol. 44(C), pages 319-331.
    17. Bhatia, Vaneet & Das, Debojyoti & Tiwari, Aviral Kumar & Shahbaz, Muhammad & Hasim, Haslifah M., 2018. "Do precious metal spot prices influence each other? Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 55(C), pages 244-252.
    18. Schmidbauer, Harald & Rösch, Angi, 2018. "The impact of festivities on gold price expectation and volatility," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 117-131.
    19. Greg Tkacz, 2007. "Gold Prices and Inflation," Staff Working Papers 07-35, Bank of Canada.
    20. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015. "Cointegration of the prices of gold and silver: RALS-based evidence," Finance Research Letters, Elsevier, vol. 15(C), pages 133-137.
    21. 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.
    22. Kaufmann, Robert K. & Ullman, Ben, 2009. "Oil prices, speculation, and fundamentals: Interpreting causal relations among spot and futures prices," Energy Economics, Elsevier, vol. 31(4), pages 550-558, July.
    23. Raza, Syed Ali & Shah, Nida & Shahbaz, Muhammad, 2018. "Does economic policy uncertainty influence gold prices? Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 57(C), pages 61-68.
    24. Xian, Lu & He, Kaijian & Lai, Kin Keung, 2016. "Gold price analysis based on ensemble empirical model decomposition and independent component analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 454(C), pages 11-23.
    25. Dutta, Anupam, 2018. "Impacts of oil volatility shocks on metal markets: A research note," Resources Policy, Elsevier, vol. 55(C), pages 9-19.
    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. Nguyen, Quynh Nga & Bedoui, Rihab & Majdoub, Najemeddine & Guesmi, Khaled & Chevallier, Julien, 2020. "Hedging and safe-haven characteristics of Gold against currencies: An investigation based on multivariate dynamic copula theory," Resources Policy, Elsevier, vol. 68(C).

    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. Swamy, Vighneswara & Lagesh, M.A., 2023. "Does happy Twitter forecast gold price?," Resources Policy, Elsevier, vol. 81(C).
    2. Rasool Dehghanzadeh Shahabad & Mehmet Balcilar, 2022. "Modelling the Dynamic Interaction between Economic Policy Uncertainty and Commodity Prices in India: The Dynamic Autoregressive Distributed Lag Approach," Mathematics, MDPI, vol. 10(10), pages 1-21, May.
    3. Ding, Qian & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2022. "Does political risk matter for gold market fluctuations? A structural VAR analysis," Research in International Business and Finance, Elsevier, vol. 60(C).
    4. Akbar, Muhammad & Iqbal, Farhan & Noor, Farzana, 2019. "Bayesian analysis of dynamic linkages among gold price, stock prices, exchange rate and interest rate in Pakistan," Resources Policy, Elsevier, vol. 62(C), pages 154-164.
    5. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "Are precious metals a hedge against exchange-rate movements? An empirical exploration using bayesian additive regression trees," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 27-38.
    6. Huang, Xiaoyong & Jia, Fei & Xu, Xiangyun & Yu shi,, 2019. "The threshold effect of market sentiment and inflation expectations on gold price," Resources Policy, Elsevier, vol. 62(C), pages 77-83.
    7. 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).
    8. 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.
    9. Roman Grynberg & Teresa Kaulihowa & Fwasa K Singogo, 2019. "Structural Changes of the 21st Century and their Impact on the Gold Price," Journal of Economics and Behavioral Studies, AMH International, vol. 11(3), pages 72-83.
    10. 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).
    11. Hanan Naser, 2017. "Can Gold Investments Provide a Good Hedge Against Inflation? An Empirical Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 7(1), pages 470-475.
    12. 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).
    13. Salisu, Afees A. & Ndako, Umar B. & Oloko, Tirimisiyu F., 2019. "Assessing the inflation hedging of gold and palladium in OECD countries," Resources Policy, Elsevier, vol. 62(C), pages 357-377.
    14. Zainudin, Ahmad Danial & Mohamad, Azhar, 2021. "Financial contagion in the futures markets amidst global geo-economic events," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 288-308.
    15. Qin, Meng & Su, Chi-Wei & Pirtea, Marilen Gabriel & Dumitrescu Peculea, Adelina, 2023. "The essential role of Russian geopolitics: A fresh perception into the gold market," Resources Policy, Elsevier, vol. 81(C).
    16. Salisu, Afees A. & Adediran, Idris A., 2019. "Assessing the inflation hedging potential of coal and iron ore in Australia," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    17. Su, Chi-Wei & Wang, Xiao-Qing & Zhu, Haotian & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Testing for multiple bubbles in the copper price: Periodically collapsing behavior," Resources Policy, Elsevier, vol. 65(C).
    18. Alzahrani, Mohammed & Masih, Mansur & Al-Titi, Omar, 2014. "Linear and non-linear Granger causality between oil spot and futures prices: A wavelet based test," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 175-201.
    19. Alameer, Zakaria & Elaziz, Mohamed Abd & Ewees, Ahmed A. & Ye, Haiwang & Jianhua, Zhang, 2019. "Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm," Resources Policy, Elsevier, vol. 61(C), pages 250-260.
    20. Umar, Zaghum & Nasreen, Samia & Solarin, Sakiru Adebola & Tiwari, Aviral Kumar, 2019. "Exploring the time and frequency domain connectedness of oil prices and metal prices," Resources Policy, Elsevier, vol. 64(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:62:y:2019:i:c:p:218-230. 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.