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Global Liquidity and Commodity Prices

Author

Listed:
  • Hyunju Kang

    (Korea Capital Market Institute)

  • Bok-Keun Yu

    (Micro & Institutional Economics Team, Economic Research Institute, The Bank of Korea)

  • Jongmin Yu

    (Hongik University)

Abstract

While monetary easing in major economies and the greater participation of financial institutions in commodity trading have enhanced the financialization of commodity markets since the global financial crisis, this paper empirically investigates whether the impact of global liquidity on commodity prices has grown since the crisis. For the agricultural products, energy and metals sectors, this paper uses a structural vector autoregression model of commodity supply, demand and prices with global liquidity to address the short-run relationship between global liquidity and commodity prices. The key finding is that the effect of global liquidity has been more pronounced for energy and metals commodity prices since the global financial crisis. This paper also suggests a price-based liquidity measure has a greater explanatory power for the commodity price dynamics than commonly-used monetary aggregates in the post-crisis period.

Suggested Citation

  • Hyunju Kang & Bok-Keun Yu & Jongmin Yu, 2015. "Global Liquidity and Commodity Prices," Working Papers 2015-14, Economic Research Institute, Bank of Korea.
    • Handle: RePEc:bok:wpaper:1514
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    References listed on IDEAS

    as
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    Cited by:

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    2. Young Sik Kim & Ohik Kwon, 2019. "Central Bank Digital Currency and Financial Stability," Working Papers 2019-6, Economic Research Institute, Bank of Korea.
    3. Doojav, Gan-Ochir & Luvsannyam, Davaajargal & Enkh-Amgalan, Elbegjargal, 2023. "Effects of global liquidity and commodity market shocks in a commodity-exporting developing economy," Journal of Commodity Markets, Elsevier, vol. 30(C).
    4. Mohanty, Sunil K. & Mishra, Sibanjan, 2020. "Regulatory reform and market efficiency: The case of Indian agricultural commodity futures markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    5. Jian Li & Jean-Paul Chavas & Xiaoli L. Etienne & Chongguang Li, 2017. "Commodity price bubbles and macroeconomics: evidence from the Chinese agricultural markets," Agricultural Economics, International Association of Agricultural Economists, vol. 48(6), pages 755-768, November.
    6. Sung Ho Park, 2018. "Fixed-Rate Loans and the Effectiveness of Monetary Policy," Working Papers 2018-20, Economic Research Institute, Bank of Korea.
    7. Lyu, Yongjian & Yi, Heling & Cao, Jin & Yang, Mo, 2022. "Time-varying monetary policy shocks and the dynamics of Chinese commodity prices," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    8. Shahriyar Aliyev & Evžen Kočenda, 2023. "ECB monetary policy and commodity prices," Review of International Economics, Wiley Blackwell, vol. 31(1), pages 274-304, February.
    9. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
    10. Zhang, Tianding & Du, Tianwen & Li, Jie, 2020. "The impact of China's macroeconomic determinants on commodity prices," Finance Research Letters, Elsevier, vol. 36(C).
    11. Yao Axel Ehouman, 2020. "Do oil-market shocks drive global liquidity?," EconomiX Working Papers 2020-33, University of Paris Nanterre, EconomiX.
    12. Pan, Wei-Fong, 2018. "Sentiment and asset price bubble in the precious metals markets," Finance Research Letters, Elsevier, vol. 26(C), pages 106-111.
    13. Ohik Kwon & Jaevin Park, 2018. "E-money: Legal Restrictions Theory and Monetary Policy," Working Papers 2018-17, Economic Research Institute, Bank of Korea.
    14. Youngjin Yun, 2018. "Cross-Border Bank Flows through Foreign Branches: Evidence from Korea," Working Papers 2018-23, Economic Research Institute, Bank of Korea.

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    More about this item

    Keywords

    Commodity prices; Global liquidity; Structural vector autoregression;
    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
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F42 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - International Policy Coordination and Transmission

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