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The impact of macroeconomic uncertainty on international commodity prices

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  • Xiaofen Tan
  • Yongjiao Ma

Abstract

Purpose - The purpose of this paper is to empirically analyze the impact of macroeconomic uncertainty on a large sample of 19 commodity markets. Design/methodology/approach - The authors rely on Juradoet al.’s (2015) measure of macroeconomic uncertainty based on a wide range of monthly macroeconomic and financial indicators and estimate a threshold VAR model to assess whether the impact of macroeconomic uncertainty on commodity prices differs under the high- or low-uncertainty state. Findings - The findings show that positive macroeconomic uncertainty shocks affect commodity prices returns negatively on average and the impact of macroeconomic uncertainty is generally higher in high-uncertainty states compared with low-uncertainty states. Besides, although the safe-haven role of precious metals is confirmed, energy and industrial markets are more sensitive to short-run and long-run macroeconomic uncertainty, respectively. Research limitations/implications - The findings in this study suggest that commodity prices reflect not only the level of economic fundamental but also the volatility of economic fundamental. Originality/value - This study empirically analyzes and verifies the influence of macroeconomic uncertainty not only on oil prices but also on four groups of 19 raw materials. As for the methodological issues, the authors rely on a structural threshold vector autoregressive specification for modeling commodity price returns to account for potentially different effects depending on the macroeconomic uncertainty states.

Suggested Citation

  • Xiaofen Tan & Yongjiao Ma, 2017. "The impact of macroeconomic uncertainty on international commodity prices," China Finance Review International, Emerald Group Publishing Limited, vol. 7(2), pages 163-184, May.
  • Handle: RePEc:eme:cfripp:cfri-06-2016-0066
    DOI: 10.1108/CFRI-06-2016-0066
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    References listed on IDEAS

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    6. Zhang, Zhikai & He, Mengxi & Zhang, Yaojie & Wang, Yudong, 2022. "Geopolitical risk trends and crude oil price predictability," Energy, Elsevier, vol. 258(C).
    7. Erica X. N. Li & Haitao Li & Shujing Wang & Shujing Wang, 2019. "Macroeconomic Risks and Asset Pricing: Evidence from a Dynamic Stochastic General Equilibrium Model," Management Science, INFORMS, vol. 65(8), pages 3585-3604, August.
    8. Guo, Jiaqi & Long, Shaobo & Luo, Weijie, 2022. "Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas," International Review of Financial Analysis, Elsevier, vol. 83(C).
    9. Chen, Peng & Miao, Xinru, 2024. "Understanding the role of China's factors in international commodity price fluctuations: A perspective of monetary-fiscal policy interaction," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1464-1483.
    10. Shao, Lili & Shao, Jun & Sun, Zheng & Xu, Huaxin, 2019. "Hedging, speculation, and risk management effect of commodity futures: Evidence from firm voluntary disclosures," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    11. Lu, Fei & Ma, Feng & Li, Pan & Huang, Dengshi, 2022. "Natural gas volatility predictability in a data-rich world," International Review of Financial Analysis, Elsevier, vol. 83(C).
    12. Li, Huijing & Li, Hong & Lu, Lei & Theocharides, George & Xiong, Xiong, 2020. "Macro disagreement and international options markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    13. Zeng, Qing & Ma, Feng & Lu, Xinjie & Xu, Weiju, 2022. "Policy uncertainty and carbon neutrality: Evidence from China," Finance Research Letters, Elsevier, vol. 47(PB).
    14. Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, vol. 10(8), pages 1-27, August.

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