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Co-movements and spillovers between prices of precious metals and non-ferrous metals: A multiscale analysis

Author

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  • Al-Yahyaee, Khamis Hamed
  • Rehman, Mobeen Ur
  • Wanas Al-Jarrah, Idries Mohammad
  • Mensi, Walid
  • Vo, Xuan Vinh

Abstract

This study examines the co-movements between price returns of precious metals (gold and silver) and non-ferrous metals (aluminium, copper, Lead and zinc). To do this, we use the spillover index developed by Diebold and Yilmaz (2012) and various wavelet. The results show that aluminum is the highest contributor to shocks in the other metal markets whereas Lead and copper are the least contributors. Moreover, silver, copper, zinc and Lead are net receivers of shocks while gold and aluminium are net contributors to shocks in the other markets. In addition, the trajectory of the spillover index among all metals under investigation is influenced by economic crises. On the other hand, the results of wavelet methods reveal strong co-movements between precious and non-ferrous metals under medium and low frequencies where gold and silver are leading the non-ferrous metals. Besides, precious metal-non-ferrous metal pairs are in phase. The results show strong multiscale co-movements among non-ferrous metals. Gold offers better diversification benefits to non-ferrous metals under 2–4 days. The diversification benefits decrease as scale rise. These findings are interesting and entail significant implications to investors, portfolio managers, and policy-makers to inform their decision-making.

Suggested Citation

  • Al-Yahyaee, Khamis Hamed & Rehman, Mobeen Ur & Wanas Al-Jarrah, Idries Mohammad & Mensi, Walid & Vo, Xuan Vinh, 2020. "Co-movements and spillovers between prices of precious metals and non-ferrous metals: A multiscale analysis," Resources Policy, Elsevier, vol. 67(C).
    • Handle: RePEc:eee:jrpoli:v:67:y:2020:i:c:s0301420720301173
    DOI: 10.1016/j.resourpol.2020.101680
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    as
    1. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    2. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    3. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    4. 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.
    5. Bhatia, Vaneet & Das, Debojyoti & Kumar, Surya Bhushan, 2020. "Hedging effectiveness of precious metals across frequencies: Evidence from Wavelet based Dynamic Conditional Correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    6. Donald Lien & Li Yang, 2009. "Intraday return and volatility spill‐over across international copper futures markets," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 5(1), pages 135-149, February.
    7. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    8. Rossen, Anja, 2015. "What are metal prices like? Co-movement, price cycles and long-run trends," Resources Policy, Elsevier, vol. 45(C), pages 255-276.
    9. Demiralay, Sercan & Ulusoy, Veysel, 2014. "Non-linear volatility dynamics and risk management of precious metals," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 183-202.
    10. Vivian, Andrew & Wohar, Mark E., 2012. "Commodity volatility breaks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 395-422.
    11. Uddin, Gazi Salah & Shahzad, Syed Jawad Hussain & Boako, Gideon & Hernandez, Jose Areola & Lucey, Brian M., 2019. "Heterogeneous interconnections between precious metals: Evidence from asymmetric and frequency-domain spillover analysis," Resources Policy, Elsevier, vol. 64(C).
    12. Reboredo, Juan C. & Ugolini, Andrea, 2015. "Downside/upside price spillovers between precious metals: A vine copula approach," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 84-102.
    13. Hkiri, Besma & Hammoudeh, Shawkat & Aloui, Chaker & Shahbaz, Muhammad, 2018. "The interconnections between U.S. financial CDS spreads and control variables: New evidence using partial and multivariate wavelet coherences," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 237-257.
    14. Ciner, Cetin & Lucey, Brian & Yarovaya, Larisa, 2020. "Spillovers, integration and causality in LME non-ferrous metal markets," Journal of Commodity Markets, Elsevier, vol. 17(C).
    15. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    16. Tweneboah, George, 2019. "Dynamic interdependence of industrial metal price returns: Evidence from wavelet multiple correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    17. Choi, Kyongwook & Hammoudeh, Shawkat, 2010. "Volatility behavior of oil, industrial commodity and stock markets in a regime-switching environment," Energy Policy, Elsevier, vol. 38(8), pages 4388-4399, August.
    18. Klein, Tony, 2017. "Dynamic correlation of precious metals and flight-to-quality in developed markets," Finance Research Letters, Elsevier, vol. 23(C), pages 283-290.
    19. He, Kaijian & Liu, Youjin & Yu, Lean & Lai, Kin Keung, 2016. "Multiscale dependence analysis and portfolio risk modeling for precious metal markets," Resources Policy, Elsevier, vol. 50(C), pages 224-233.
    20. 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.
    21. Gil-Alana, Luis A. & Tripathy, Trilochan, 2014. "Modelling volatility persistence and asymmetry: A Study on selected Indian non-ferrous metals markets," Resources Policy, Elsevier, vol. 41(C), pages 31-39.
    22. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    23. Wang, Tian & Wang, Cangfeng, 2019. "The spillover effects of China's industrial growth on price changes of base metal," Resources Policy, Elsevier, vol. 61(C), pages 375-384.
    24. McMillan, David G. & Speight, Alan E. H., 2001. "Non-ferrous metals price volatility: a component analysis," Resources Policy, Elsevier, vol. 27(3), pages 199-207, September.
    25. Reboredo, Juan C., 2013. "Is gold a hedge or safe haven against oil price movements?," Resources Policy, Elsevier, vol. 38(2), pages 130-137.
    26. Al-Yahyaee, Khamis Hamed & Mensi, Walid & Maitra, Debasish & Al-Jarrah, Idries Mohammad Wanas, 2019. "Portfolio management and dependencies among precious metal markets: Evidence from a Copula quantile-on-quantile approach," Resources Policy, Elsevier, vol. 64(C).
    27. Karanasos, Menelaos & Menla Ali, Faek & Margaronis, Zannis & Nath, Rajat, 2018. "Modelling time varying volatility spillovers and conditional correlations across commodity metal futures," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 246-256.
    28. Balcilar, Mehmet & Ozdemir, Zeynel Abidin, 2019. "The volatility effect on precious metals price returns in a stochastic volatility in mean model with time-varying parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    29. Lau, Marco Chi Keung & Vigne, Samuel A. & Wang, Shixuan & Yarovaya, Larisa, 2017. "Return spillovers between white precious metal ETFs: The role of oil, gold, and global equity," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 316-332.
    30. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    More about this item

    Keywords

    Co-Movements; Spillovers; Precious metals; Non-ferrous metals; Multivariate wavelet;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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