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Price spillovers between rare earth stocks and financial markets

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  • Reboredo, Juan C.
  • Ugolini, Andrea

Abstract

We study price transmission between rare earth stocks and the base metals, gold, clean energy, oil and global MSCI stock markets. Using a Markov switching vector autoregressive model that accounts for different volatility regimes, our empirical findings reveal that price connectedness between rare earth (RE) and other stock markets differs across volatility regimes. Specifically, in a low-volatility regime: (a) RE stocks are linked to the base metals market, receiving and transmitting sizeable price spillovers, and (b) RE stocks are weakly connected with clean energy, gold, oil and general stock markets. In contrast, in a high-volatility regime, there is increased RE price co-movement with price oscillations in the clean energy, oil and general stock markets. These findings have implications for hedging risk associated with positions in RE companies using other financial assets.

Suggested Citation

  • Reboredo, Juan C. & Ugolini, Andrea, 2020. "Price spillovers between rare earth stocks and financial markets," Resources Policy, Elsevier, vol. 66(C).
  • Handle: RePEc:eee:jrpoli:v:66:y:2020:i:c:s0301420719308311
    DOI: 10.1016/j.resourpol.2020.101647
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    1. Fama, Eugene F. & French, Kenneth R., 2017. "International tests of a five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 123(3), pages 441-463.
    2. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    3. Mancheri, Nabeel A., 2015. "World trade in rare earths, Chinese export restrictions, and implications," Resources Policy, Elsevier, vol. 46(P2), pages 262-271.
    4. Proelss, Juliane & Schweizer, Denis & Seiler, Volker, 2020. "The economic importance of rare earth elements volatility forecasts," International Review of Financial Analysis, Elsevier, vol. 71(C).
    5. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2014. "Clean energy industries and rare earth materials: Economic and financial issues," Energy Policy, Elsevier, vol. 66(C), pages 53-61.
    6. Proelss, Juliane & Schweizer, Denis & Seiler, Volker, 2018. "Do announcements of WTO dispute resolution cases matter? Evidence from the rare earth elements market," Energy Economics, Elsevier, vol. 73(C), pages 1-23.
    7. Klossek, Polina & Kullik, Jakob & van den Boogaart, Karl Gerald, 2016. "A systemic approach to the problems of the rare earth market," Resources Policy, Elsevier, vol. 50(C), pages 131-140.
    8. Fernandez, Viviana, 2017. "Rare-earth elements market: A historical and financial perspective," Resources Policy, Elsevier, vol. 53(C), pages 26-45.
    9. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    10. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    11. Apergis, Emmanuel & Apergis, Nicholas, 2017. "The role of rare earth prices in renewable energy consumption: The actual driver for a renewable energy world," Energy Economics, Elsevier, vol. 62(C), pages 33-42.
    12. Smith Stegen, Karen, 2015. "Heavy rare earths, permanent magnets, and renewable energies: An imminent crisis," Energy Policy, Elsevier, vol. 79(C), pages 1-8.
    13. Riesgo García, María Victoria & Krzemień, Alicja & Manzanedo del Campo, Miguel Ángel & Menéndez Álvarez, Mario & Gent, Malcolm Richard, 2017. "Rare earth elements mining investment: It is not all about China," Resources Policy, Elsevier, vol. 53(C), pages 66-76.
    14. Riesgo García, María Victoria & Krzemień, Alicja & Manzanedo del Campo, Miguel Ángel & Escanciano García-Miranda, Carmen & Sánchez Lasheras, Fernando, 2018. "Rare earth elements price forecasting by means of transgenic time series developed with ARIMA models," Resources Policy, Elsevier, vol. 59(C), pages 95-102.
    15. Schmid, Marc, 2019. "Mitigating supply risks through involvement in rare earth projects: Japan's strategies and what the US can learn," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    16. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    17. Rabe, Wiebke & Kostka, Genia & Smith Stegen, Karen, 2017. "China's supply of critical raw materials: Risks for Europe's solar and wind industries?," Energy Policy, Elsevier, vol. 101(C), pages 692-699.
    18. Kim, Chang-Jin, 1994. "Dynamic linear models with Markov-switching," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
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    4. Mensi, Walid & Hammoudeh, Shawkat & Vinh Vo, Xuan & Hoon Kang, Sang, 2021. "Volatility spillovers between oil and equity markets and portfolio risk implications in the US and vulnerable EU countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    5. Urom, Christian & Ndubuisi, Gideon & Del Lo, Gaye & Yuni, Denis, 2023. "Global commodity and equity markets spillovers to Africa during the COVID-19 pandemic," Emerging Markets Review, Elsevier, vol. 55(C).
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    12. 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).
    13. Borkowski, Bolesław & Krawiec, Monika & Karwański, Marek & Szczesny, Wiesław & Shachmurove, Yochanan, 2021. "Modeling garch processes in base metals returns using panel data," Resources Policy, Elsevier, vol. 74(C).
    14. Kamal, Elham & Bouri, Elie, 2023. "Dependence structure among rare earth and financial markets: A multiscale-vine copula approach," Resources Policy, Elsevier, vol. 83(C).
    15. Caner Özdurak & Veysel Ulusoy, 2020. "Spillovers from the Slowdown in China on Financial and Energy Markets: An Application of VAR–VECH–TARCH Models," IJFS, MDPI, vol. 8(3), pages 1-17, August.
    16. Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Extreme spillovers among fossil energy, clean energy, and metals markets: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 107(C).
    17. Mensi, Walid & Reboredo, Juan C. & Ugolini, Andrea, 2021. "Price-switching spillovers between gold, oil, and stock markets: Evidence from the USA and China during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 73(C).
    18. 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).
    19. 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).
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    21. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2020. "Extreme spillovers across Asian-Pacific currencies: A quantile-based analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    22. 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.
    23. Yahya, Farzan & Abbas, Ghulam & Lee, Chien-Chiang, 2023. "Asymmetric effects and volatility transmission from metals markets to solar energy stocks: Evidence from DCC, ADCC, and quantile regression approach," Resources Policy, Elsevier, vol. 82(C).

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    More about this item

    Keywords

    Rare earths; Financial markets; Price spillovers; Markov switching VAR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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