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Revisiting gold price behaviour: a structural VAR

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  • Zurika Robinson

    (UNISA)

Abstract

This article looks to shed some light on a fluctuating commodity price and gold production. In this regard, a structural vector autoregression (VAR) was applied to observe the sensitivity of the gold price and future pricing due to changes in macroeconomic variables, and also to review changes in macroeconomic variables due to changes in the gold (commodity) price. The variables used for decomposition were the gold price, the oil price, the real effective exchange rate of the United States (US), the US Federal funds rate, and the total combined gross domestic product (GDP) of the Organisation for Economic Co-operation and Development (OECD) countries. Impulse response functions, with shocks to each system, was investigated, and the forecast error variance decomposition was examined. The main results over a period of 10 years show that a shock to OECD GDP caused the gold price to increase, thus showing a positive correlation between economic output and the gold price. A shock to the oil price caused the gold price to spike over the short term, then move sideways over the long term. A shock to the US Federal funds rate caused the gold price to spike over the short term, then decrease slightly over the medium and long terms; while a shock to the real effective exchange rate of the US caused the gold price to be relatively flat and move sideways. The results show that the relationship between gold and other relevant factors are not just a simple monetary relationship as many previously assumed. The relationship between gold and oil is still dynamic, whereas exchange rate shocks might not be as significant as previously thought.

Suggested Citation

  • Zurika Robinson, 2019. "Revisiting gold price behaviour: a structural VAR," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 32(3), pages 365-372, November.
  • Handle: RePEc:spr:minecn:v:32:y:2019:i:3:d:10.1007_s13563-019-00204-4
    DOI: 10.1007/s13563-019-00204-4
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    References listed on IDEAS

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    1. Yu-Chin Chen & Kenneth S. Rogoff & Barbara Rossi, 2010. "Can Exchange Rates Forecast Commodity Prices?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1145-1194.
    2. Mudd, Gavin M., 2007. "Global trends in gold mining: Towards quantifying environmental and resource sustainability," Resources Policy, Elsevier, vol. 32(1-2), pages 42-56.
    3. Jeffrey A. Frankel, 2008. "The Effect of Monetary Policy on Real Commodity Prices," NBER Chapters, in: Asset Prices and Monetary Policy, pages 291-333, National Bureau of Economic Research, Inc.
    4. Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M., 2010. "The macroeconomic determinants of volatility in precious metals markets," Resources Policy, Elsevier, vol. 35(2), pages 65-71, June.
    5. Kaufmann, Thomas D. & Winters, Richard A., 1989. "The price of gold : A simple model," Resources Policy, Elsevier, vol. 15(4), pages 309-313, December.
    6. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
    7. Maponga, Oliver & Maxwell, Philip, 2000. "The internationalisation of the Australian mineral industry in the 1990s," Resources Policy, Elsevier, vol. 26(4), pages 199-210, December.
    8. Aguilera, Roberto F. & Radetzki, Marian, 2017. "The synchronized and exceptional price performance of oil and gold: Explanations and prospects," Resources Policy, Elsevier, vol. 54(C), pages 81-87.
    9. Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M, 2014. "On the economic determinants of the gold–inflation relation," Resources Policy, Elsevier, vol. 41(C), pages 101-108.
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    Cited by:

    1. Z. Robinson, 2024. "A macroeconomic viewpoint using a structural VAR analysis of silver price behaviour," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(1), pages 15-23, March.

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    More about this item

    Keywords

    Gold; Mineral resources; Commodity prices;
    All these keywords.

    JEL classification:

    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development

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