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

Jia, Yanjing; Ding, Chengri; Dong, Zhiliang

doi:10.3390/su132212913

Cited by 5 publications

(4 citation statements)

References 37 publications

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“…In recent years, network-based transmission models are developed to reveal the sources, receptors, hubs, media, paths, and motifs of price spillovers. Related studies have been examined in the steel supply chain (Liu et al, 2019;Qi et al, 2020) and rare earth supply chain (Jia et al, 2021).…”

Section: Price Volatility Spillover/transmissionmentioning

confidence: 99%

Supply chain risks of critical metals: Sources, propagation, and responses

Sun

2022

Front. Energy Res.

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In the era of globalization, industries of critical metals are organized through the global supply chain. However, the global supply chains have been disrupted since 2020 by the outbreak of COVID-19 and a series of geopolitical crises. To better address the supply chain challenges of critical metals, a review is needed about the sources, propagation, and responses of the supply chain risks. Firstly, this review provides an overview about the research progress in identifying the risk sources and assessing the risks and then proposes a new supply chain framework, categorizing relevant risk factors into upstream risks, middle-stream risks, downstream risks, and general risks, for risk analysis of critical metals. Secondly, this review offers a comprehensive understanding about how the risks propagate horizontally and vertically. Finally, responses such as supply diversification, stockpiling, material substitution, recycling and circular economy strategy, price volatility hedging, and supply chain traceability are reviewed. This survey features the supply chain perspective, overviews on network-based studies, and affirms the urgency and need for further studies on supply chain risks and resilience, which may contribute to a smooth clean energy transition.

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Section: Price Volatility Spillover/transmissionmentioning

confidence: 99%

Supply chain risks of critical metals: Sources, propagation, and responses

Sun

2022

Front. Energy Res.

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“…Through the analysis of network topology indicators, the overall pattern and evolution characteristics of international trade can be well reflected [21]. Some scholars have explored the trade network of a single mineral [22][23][24], and some studies have examined the trade network of multiple mineral resources [25]. These studies provide good ideas for the analysis of the international trade network of minerals, but there are still gaps in the current research on the multimineral trade network of the industrial chain.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Potential Trade Relationship of Lithium-Ion Battery’s Main Element Raw Material Minerals Combined with the Local Characteristics of the Trade Network

Zhang

Dong

Liu

et al. 2023

International Journal of Energy Research

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In recent years, with the rapid development of the lithium-ion battery industry, the massive upstream consumption of mineral raw materials has led to great crises and challenges in balancing global supply and demand. A diversity of trading partners can effectively alleviate the pressure of supply and demand for raw materials; so, it is particularly important for trading countries to find suitable trading partners. This study takes nine important minerals contained in the main element raw materials of lithium-ion batteries as the research object, and the international trade data range from 2011 to 2020. The study combines complex networks and motifs and links prediction methods to predict the potential international trade relations of the nine minerals based on the actual network topology. We summarize three trade link rules as follows. (1) The predicted links have a timeliness requirement, and they generally turn into actual trade links within 3 years. (2) When looking for trading partners, trading countries tend to establish long-term and stable trade relations. (3) The existing trade relations will promote the establishment of predicted trade relations. In addition, we find that successfully predicted links will promote the formation of important motifs in the network. This study can provide a theoretical basis for trading countries to find suitable trading partners and can strengthen the safety of trading countries in the trade of the main element minerals for lithium-ion batteries.

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“…Since rare earth is used by the military and in the metallurgical, petrochemical, and other industries, the development of the rare earth industry is vital for modern industrial development. The rare earth industry chain has an enterprise group structure with certain intrinsic connections, and the upper, middle, and downstream links of the industrial chain are responsible for the development of rare earth ores, rare earth smelting and separation, and their deep processing and application, respectively [1]. Products and value flow between each link: upstream to midstream transmission of products and downstream to upstream transmission of value and information.…”

Section: Introductionmentioning

confidence: 99%

Research on the Quantitative Causal Transmission of Stock Price Fluctuations of Listed Companies in the Rare Earth Industry Chain

Dong,

Jia,

Wang

et al. 2023

International Journal of Energy Research

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Rare earth is an important strategic mineral resource, and the study of the causes of stock price fluctuations of rare earth listed companies and their transmission can enable all parties in the market to have a clearer understanding of current market relationships. In this study, the quantitative causality analysis model and complex network method are used to analyze each link within the rare earth industry chain and the relationship between regions from the quantitative causality of stock price fluctuations among listed companies in the rare earth industry. The main transmission paths of fluctuations in each link between companies are also given. It is found that the quantitative causal relationship between the price fluctuations of rare earth industry stocks has positive causation, negative causation, and unclear causation, and the dominant causal relationship is mostly positive causation. The positive causal relationship between enterprises in the same region is significantly greater than that between enterprises in different regions. The negative causal relationship and unclear causal relationship between enterprises in different regions are significantly greater than the negative causal relationship and unclear causal relationship between enterprises in the same region.

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

Cited by 5 publications

References 37 publications

Supply chain risks of critical metals: Sources, propagation, and responses

Supply chain risks of critical metals: Sources, propagation, and responses

Prediction of the Potential Trade Relationship of Lithium-Ion Battery’s Main Element Raw Material Minerals Combined with the Local Characteristics of the Trade Network

Research on the Quantitative Causal Transmission of Stock Price Fluctuations of Listed Companies in the Rare Earth Industry Chain

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