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The long-run relationship between precious metal prices and the business cycle

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  • Kucher, Oleg
  • McCoskey, Suzanne

Abstract

This study examines the long-run relationships between major precious metal prices over the last forty years. Using a vector error correction model, we find that weekly futures log prices of gold and silver, and gold and platinum appear to be cointegrated. The results show that the cointegrating relationships between precious metal prices are not stable over time with significant shifts in the price relations around business cycle peaks and during recessions. Our results indicate that the long-run relationships between precious metal prices are strongly influenced by economic conditions. These findings should contribute to the growing literature on linkages between macroeconomic fundamentals and the exact nature of the price relationships across different precious metals.

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  • Kucher, Oleg & McCoskey, Suzanne, 2017. "The long-run relationship between precious metal prices and the business cycle," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 263-275.
    • Handle: RePEc:eee:quaeco:v:65:y:2017:i:c:p:263-275
    DOI: 10.1016/j.qref.2016.09.005
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    5. Agnese, Pablo & Garcia-del-Barrio, Pedro & Gil-Alana, Luis A. & de Gracia, Fernando Perez, 2023. "Precious Metal Prices: A Tale of Four U.S. Recessions," IZA Discussion Papers 16012, Institute of Labor Economics (IZA).
    6. Laurent Ferrara & Aikaterina Karadimitropoulou & Athanasios Triantafyllou & Theodora Bermpei, 2022. "Commodity currencies revisited: The role of global commodity price uncertainty," EconomiX Working Papers 2022-24, University of Paris Nanterre, EconomiX.
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    8. Dinh, Theu & Goutte, Stéphane & Nguyen, Duc Khuong & Walther, Thomas, 2022. "Economic drivers of volatility and correlation in precious metal markets," Journal of Commodity Markets, Elsevier, vol. 28(C).
    9. Ioannis E. Tsolas, 2020. "Precious Metal Mutual Fund Performance Evaluation: A Series Two-Stage DEA Modeling Approach," JRFM, MDPI, vol. 13(5), pages 1-13, April.
    10. Wang, Yang & Cao, Xinbang & Sui, Xiuping & Zhao, Wenxi, 2019. "How do black swan events go global? -Evidence from US reserves effects on TOCOM gold futures prices," Finance Research Letters, Elsevier, vol. 31(C).
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    13. Bermpei, Theodora & Ferrara, Laurent & Karadimitropoulou, Aikaterini & Triantafyllou, Athanasios, 2024. "Commodity currencies revisited: The role of global commodity price uncertainty," Journal of International Money and Finance, Elsevier, vol. 145(C).
    14. Brett J. Watson & Roderick G. Eggert, 2021. "Understanding relative metal prices and availability: Combining physical and economic perspectives," Journal of Industrial Ecology, Yale University, vol. 25(4), pages 890-899, August.
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    16. Qadan, Mahmoud, 2019. "Risk appetite and the prices of precious metals," Resources Policy, Elsevier, vol. 62(C), pages 136-153.
    17. Emrah Oral & Gazanfer Unal, 2019. "Modeling and forecasting time series of precious metals: a new approach to multifractal data," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-28, December.
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    20. Christian Pierdzioch & Marian Risse, 2020. "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, vol. 58(3), pages 1167-1184, March.

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    More about this item

    Keywords

    Gold; Silver; Platinum prices; Cointegration; The US business cycle;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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