IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i22p12913-d684936.html
   My bibliography  Save this article

Transmission Mechanism of Stock Price Fluctuation in the Rare Earth Industry Chain

Author

Listed:
  • Yanjing Jia

    (School of Urban Geology and Engineering, Hebei GEO University, Shijiazhuang 050031, China)

  • Chao Ding

    (School of Management, Hebei GEO University, Shijiazhuang 050031, China)

  • Zhiliang Dong

    (Strategy and Management Base of Mineral Resources in Hebei Province, Hebei GEO University, Shijiazhuang 050031, China
    Key Laboratory of Intelligent Detection and Equipment for Underground Space of Beijing-Tianjin-Hebei Urban Agglomeration, Ministry of Natural Resources, Shijiazhuang 050031, China
    Natural Resource Asset Capital Research Center, Hebei GEO University, Shijiazhuang 050031, China)

Abstract

The transmission of stock price fluctuations of listed companies in the rare earth industry has complex characteristics. Mastering its transmission law is of great meaning to understand the relationship between the upstream and downstream of the rare earth industry chain and market investment. This article uses the time series of daily closing prices of stocks in the global rare earth industry chain in the past ten years as the research object. The Granger causality test and complex network theory were used to construct the risk transmission network of the industrial chain. We have identified the key stocks in the network of stock price fluctuation in the rare earth industry chain and obtained the transmission path of stock price fluctuation. According to the results: (1) The stocks of Chinese and Japanese listed companies considerably influence the transmission of the stock price fluctuation in the rare earth industry chain. (2) The transmission distance of the stock price fluctuation of each network is relatively small, and the transmission speed is relatively fast. (3) The fluctuation of stock price in the rare earth industry chain is mainly transmitted from the upstream and midstream links to the midstream and downstream links.

Suggested Citation

  • Yanjing Jia & Chao Ding & Zhiliang Dong, 2021. "Transmission Mechanism of Stock Price Fluctuation in the Rare Earth Industry Chain," Sustainability, MDPI, vol. 13(22), pages 1-21, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12913-:d:684936
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/22/12913/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/22/12913/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nikolay Yurevich Samsonov, 2018. "Global Chains of Supply of Rare-Earth and Rare Metals as High-Tech Raw Materials Within the Framework of International Industrial Cooperation," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 3, pages 43-66.
    2. Sun, Qingru & Gao, Xiangyun & Wen, Shaobo & Chen, Zhihua & Hao, Xiaoqing, 2018. "The transmission of fluctuation among price indices based on Granger causality network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 36-49.
    3. Bernardina Algieri & Emiliano Brancaccio & Damiano Buonaguidi, 2020. "Stock market volatility, speculation and unemployment: A Granger-causality analysis," PSL Quarterly Review, Economia civile, vol. 73(293), pages 137-160.
    4. Reboredo, Juan C. & Ugolini, Andrea, 2020. "Price spillovers between rare earth stocks and financial markets," Resources Policy, Elsevier, vol. 66(C).
    5. Wang, Minggang & Chen, Ying & Tian, Lixin & Jiang, Shumin & Tian, Zihao & Du, Ruijin, 2016. "Fluctuation behavior analysis of international crude oil and gasoline price based on complex network perspective," Applied Energy, Elsevier, vol. 175(C), pages 109-127.
    6. Chen, Yufeng & Zheng, Biao & Qu, Fang, 2020. "Modeling the nexus of crude oil, new energy and rare earth in China: An asymmetric VAR-BEKK (DCC)-GARCH approach," Resources Policy, Elsevier, vol. 65(C).
    7. Huang, Chuangxia & Wen, Shigang & Li, Mengge & Wen, Fenghua & Yang, Xin, 2021. "An empirical evaluation of the influential nodes for stock market network: Chinese A-shares case," Finance Research Letters, Elsevier, vol. 38(C).
    8. Zheng, Biao & Zhang, Yuquan & Chen, Yufeng, 2021. "Asymmetric connectedness and dynamic spillovers between renewable energy and rare earth markets in China: Evidence from firms’ high-frequency data," Resources Policy, Elsevier, vol. 71(C).
    9. Dong, Zhiliang & An, Haizhong & Liu, Sen & Li, Zhengyang & Yuan, Meng, 2020. "Research on the time-varying network structure evolution of the stock indices of the BRICS countries based on fluctuation correlation," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 63-74.
    10. Brown, Maxwell & Eggert, Roderick, 2018. "Simulating producer responses to selected chinese rare earth policies," Resources Policy, Elsevier, vol. 55(C), pages 31-48.
    11. Meng, Bo & Xue, Jinjun & Feng, Kuishuang & Guan, Dabo & Fu, Xue, 2013. "China’s inter-regional spillover of carbon emissions and domestic supply chains," Energy Policy, Elsevier, vol. 61(C), pages 1305-1321.
    12. Wang, Xibo & Lei, Yalin & Ge, Jianping & Wu, Sanmang, 2015. "Production forecast of China׳s rare earths based on the Generalized Weng model and policy recommendations," Resources Policy, Elsevier, vol. 43(C), pages 11-18.
    13. Xibo Wang & Mingtao Yao & Jiashuo Li & Kexue Zhang & He Zhu & Minsi Zheng, 2017. "China’s Rare Earths Production Forecasting and Sustainable Development Policy Implications," Sustainability, MDPI, vol. 9(6), pages 1-14, June.
    14. Boya Zhang & Shukuan Bai & Yadong Ning & Tao Ding & Yan Zhang, 2020. "Emission Embodied in International Trade and Its Responsibility from the Perspective of Global Value Chain: Progress, Trends, and Challenges," Sustainability, MDPI, vol. 12(8), pages 1-26, April.
    15. Liu, Sen & Dong, Zhiliang & Ding, Chao & Wang, Tian & Zhang, Yichi, 2020. "Do you need cobalt ore? Estimating potential trade relations through link prediction," Resources Policy, Elsevier, vol. 66(C).
    16. Hayes-Labruto, Leslie & Schillebeeckx, Simon J.D. & Workman, Mark & Shah, Nilay, 2013. "Contrasting perspectives on China's rare earths policies: Reframing the debate through a stakeholder lens," Energy Policy, Elsevier, vol. 63(C), pages 55-68.
    17. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    18. Alfred E. Kahn, 1951. "Investment Criteria in Development Programs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 65(1), pages 38-61.
    19. Elie Bouri & Kakali Kanjilal & Sajal Ghosh & David Roubaud & Tareq Saeed, 2021. "Rare earth and allied sectors in stock markets: extreme dependence of return and volatility," Applied Economics, Taylor & Francis Journals, vol. 53(49), pages 5710-5730, October.
    20. Jiangxia Liu & Sourish Sarkar & Sanjay Kumar & Zhenhu Jin, 2018. "An analysis of stock market impact from supply chain disruptions in Japan," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(1), pages 192-206, January.
    21. Wang, Jianliang & Guo, Meiyu & Liu, Mingming & Wei, Xinqiang, 2020. "Long-term outlook for global rare earth production," Resources Policy, Elsevier, vol. 65(C).
    22. Wen-Cheng Lu, 2016. "Electricity Consumption and Economic Growth: Evidence from 17 Taiwanese Industries," Sustainability, MDPI, vol. 9(1), pages 1-15, December.
    23. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    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. Zhu, Mingxue & Zhang, Hua & Xing, Wanli & Zhou, Xuanru & Wang, Lu & Sun, Haoyu, 2023. "Research on price transmission in Chinese mining stock market: Based on industry," Resources Policy, Elsevier, vol. 83(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. Hanif, Waqas & Mensi, Walid & Gubareva, Mariya & Teplova, Tamara, 2023. "Impacts of COVID-19 on dynamic return and volatility spillovers between rare earth metals and renewable energy stock markets," Resources Policy, Elsevier, vol. 80(C).
    2. Henriques, Irene & Sadorsky, Perry, 2023. "Forecasting rare earth stock prices with machine learning," Resources Policy, Elsevier, vol. 86(PA).
    3. Gao, Wang & Wei, Jiajia & Zhang, Hongwei & Zhang, Haizhen, 2024. "The higher-order moments connectedness between rare earth and clean energy markets and the role of geopolitical risk:New insights from a TVP-VAR framework," Energy, Elsevier, vol. 305(C).
    4. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2022. "Time and frequency spillovers between political risk and the stock returns of China's rare earths," Resources Policy, Elsevier, vol. 75(C).
    5. Gao, Yang & Liu, Xiaoyi, 2024. "Time and frequency spillovers and drivers between rare earth and energy, metals, green, and agricultural markets," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    6. Madaleno, Mara & Taskin, Dilvin & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "A dynamic connectedness analysis between rare earth prices and renewable energy," Resources Policy, Elsevier, vol. 85(PB).
    7. Thibeault, Al & Ryder, Michael & Tomomewo, Olusegun & Mann, Michael, 2023. "A review of competitive advantage theory applied to the global rare earth industry transition," Resources Policy, Elsevier, vol. 85(PA).
    8. Ding, Qian & Huang, Jianbai & Chen, Jinyu & Luo, Xianfeng, 2024. "Climate warming, renewable energy consumption and rare earth market: Evidence from the United States," Energy, Elsevier, vol. 290(C).
    9. Song, Ying & Bouri, Elie & Ghosh, Sajal & Kanjilal, Kakali, 2021. "Rare earth and financial markets: Dynamics of return and volatility connectedness around the COVID-19 outbreak," Resources Policy, Elsevier, vol. 74(C).
    10. Hau, Liya & Zhu, Huiming & Yu, Yang & Yu, Dongwei, 2022. "Time-frequency coherence and quantile causality between trade policy uncertainty and rare earth prices: Evidence from China and the US," Resources Policy, Elsevier, vol. 75(C).
    11. Yufeng Chen & Biao Zheng, 2019. "What Happens after the Rare Earth Crisis: A Systematic Literature Review," Sustainability, MDPI, vol. 11(5), pages 1-26, March.
    12. Jianyun Chen & Wenxing Zhu & Xianping Luo, 2022. "Government Reserve of Rare Earths under Total Quota Management: An Interactive Game between Government and Rare-Earth Firms," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    13. Kamal, Elham & Bouri, Elie, 2023. "Dependence structure among rare earth and financial markets: A multiscale-vine copula approach," Resources Policy, Elsevier, vol. 83(C).
    14. Zheng, Biao & Zhang, Yuquan W. & Qu, Fang & Geng, Yong & Yu, Haishan, 2022. "Do rare earths drive volatility spillover in crude oil, renewable energy, and high-technology markets? — A wavelet-based BEKK- GARCH-X approach," Energy, Elsevier, vol. 251(C).
    15. Jose Perez-Montiel & Carles Manera Erbina, 2019. "Investment Sustained by Consumption: A Linear and Nonlinear Time Series Analysis," Sustainability, MDPI, vol. 11(16), pages 1-15, August.
    16. Cagli, Efe Caglar, 2023. "The volatility spillover between battery metals and future mobility stocks: Evidence from the time-varying frequency connectedness approach," Resources Policy, Elsevier, vol. 86(PA).
    17. Yang, Xiaoming & Islam, Md. Monirul & Mentel, Grzegorz & Ahmad, Ashfaq & Vasa, László, 2024. "Synergistic dynamics unveiled: Interplay between rare earth prices, clean energy innovations, and tech companies' market resilience amidst the Covid-19 pandemic and Russia-Ukraine conflict," Resources Policy, Elsevier, vol. 89(C).
    18. Li, Zheng-Zheng & Meng, Qin & Zhang, Linling & Lobont, Oana-Ramona & Shen, Yijuan, 2023. "How do rare earth prices respond to economic and geopolitical factors?," Resources Policy, Elsevier, vol. 85(PA).
    19. Schlinkert, Dominik & van den Boogaart, Karl Gerald, 2015. "The development of the market for rare earth elements: Insights from economic theory," Resources Policy, Elsevier, vol. 46(P2), pages 272-280.
    20. Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Quantile connectedness between energy, metal, and carbon markets," International Review of Financial Analysis, Elsevier, vol. 83(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:gam:jsusta:v:13:y:2021:i:22:p:12913-:d:684936. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.