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Professional macroeconomic forecasts and Chinese commodity futures prices

Author

Listed:
  • Ye, Wuyi
  • Guo, Ranran
  • Jiang, Ying
  • Liu, Xiaoquan
  • Deschamps, Bruno

Abstract

The literature has seen a significant relation between prices of commodities and their futures and macroeconomic variables indicating the important role that commodities play in the real economy. We contribute to the literature by exploring the causal relation between Chinese commodity futures and forecasted Chinese and US macroeconomic variables. We show a significant nonlinear causality from Chinese commodity futures prices to professional forecasts of Chinese macroeconomic variables. Meanwhile, these commodity futures prices are Granger caused by professional forecasts of US macroeconomic variables. Our findings highlight the economic significance of professional macroeconomic forecasts in the Chinese commodity futures markets.

Suggested Citation

  • Ye, Wuyi & Guo, Ranran & Jiang, Ying & Liu, Xiaoquan & Deschamps, Bruno, 2019. "Professional macroeconomic forecasts and Chinese commodity futures prices," Finance Research Letters, Elsevier, vol. 28(C), pages 130-136.
  • Handle: RePEc:eee:finlet:v:28:y:2019:i:c:p:130-136
    DOI: 10.1016/j.frl.2018.04.011
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    References listed on IDEAS

    as
    1. Huayun Jiang & Jen‐Je Su & Neda Todorova & Eduardo Roca, 2016. "Spillovers and Directional Predictability with a Cross‐Quantilogram Analysis: The Case of U.S. and Chinese Agricultural Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(12), pages 1231-1255, December.
    2. Georgios Rallis & Joëlle Miffre & Ana‐Maria Fuertes, 2013. "Strategic and Tactical Roles of Enhanced Commodity Indices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(10), pages 965-992, October.
    3. Smales, L.A., 2017. "Commodity market volatility in the presence of U.S. and Chinese macroeconomic news," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 15-27.
    4. Browne, Frank & Cronin, David, 2010. "Commodity prices, money and inflation," Journal of Economics and Business, Elsevier, vol. 62(4), pages 331-345, July.
    5. Menzie D. Chinn & Olivier Coibion, 2014. "The Predictive Content of Commodity Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(7), pages 607-636, July.
    6. Dieter Hess & He Huang & Alexandra Niessen, 2008. "How do commodity futures respond to macroeconomic news?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 22(2), pages 127-146, June.
    7. Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sousa, Ricardo M., 2015. "US monetary policy and sectoral commodity prices," Journal of International Money and Finance, Elsevier, vol. 57(C), pages 61-85.
    8. Ram Acharya & Paul Gentle & Krishna Paudel, 2010. "Examining the CRB index as a leading indicator for US inflation," Applied Economics Letters, Taylor & Francis Journals, vol. 17(15), pages 1493-1496.
    9. Hua, Ping, 1998. "On Primary Commodity Prices: The Impact of Macroeconomic/Monetary Shocks," Journal of Policy Modeling, Elsevier, vol. 20(6), pages 767-790, December.
    10. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    11. Yu Xin & Gongmeng Chen & Michael Firth, 2006. "The Efficiency of the Chinese Commodity Futures Markets: Development and Empirical Evidence," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 14(2), pages 79-92, March.
    12. Belke, Ansgar H. & Bordon, Ingo G. & Hendricks, Torben W., 2014. "Monetary policy, global liquidity and commodity price dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 1-16.
    13. Elder, John & Miao, Hong & Ramchander, Sanjay, 2012. "Impact of macroeconomic news on metal futures," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 51-65.
    14. Ajmi, Ahdi Noomen & El Montasser, Ghassen & Nguyen, Duc Khuong, 2013. "Testing the relationships between energy consumption and income in G7 countries with nonlinear causality tests," Economic Modelling, Elsevier, vol. 35(C), pages 126-133.
    15. Anderson, Heather M, 1997. "Transaction Costs and Non-linear Adjustment towards Equilibrium in the US Treasury Bill Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 465-484, November.
    16. Andreasson, Pierre & Bekiros, Stelios & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2016. "Impact of speculation and economic uncertainty on commodity markets," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 115-127.
    17. Zhang, Hui Jun & Dufour, Jean-Marie & Galbraith, John W., 2016. "Exchange rates and commodity prices: Measuring causality at multiple horizons," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 100-120.
    18. Prasad Bal, Debi & Narayan Rath, Badri, 2015. "Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India," Energy Economics, Elsevier, vol. 51(C), pages 149-156.
    19. Christie-David, Rohan & Chaudhry, Mukesh & Koch, Timothy W., 2000. "Do macroeconomics news releases affect gold and silver prices?," Journal of Economics and Business, Elsevier, vol. 52(5), pages 405-421.
    20. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    21. Mallick, Sushanta K. & Sousa, Ricardo M., 2012. "Real Effects Of Monetary Policy In Large Emerging Economies," Macroeconomic Dynamics, Cambridge University Press, vol. 16(S2), pages 190-212, September.
    22. Gargano, Antonio & Timmermann, Allan, 2014. "Forecasting commodity price indexes using macroeconomic and financial predictors," International Journal of Forecasting, Elsevier, vol. 30(3), pages 825-843.
    23. Fernandez, Viviana, 2014. "Linear and non-linear causality between price indices and commodity prices," Resources Policy, Elsevier, vol. 41(C), pages 40-51.
    24. Liu, Qingfu & An, Yunbi, 2011. "Information transmission in informationally linked markets: Evidence from US and Chinese commodity futures markets," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 778-795, September.
    25. Daniel Tsvetanov & Jerry Coakley & Neil Kellard, 2016. "Is news related to GDP growth a risk factor for commodity futures returns?," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1887-1899, December.
    26. Fung, Hung-Gay & Tse, Yiuman & Yau, Jot & Zhao, Lin, 2013. "A leader of the world commodity futures markets in the making? The case of China's commodity futures," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 103-114.
    27. Shang, Hua & Yuan, Ping & Huang, Lin, 2016. "Macroeconomic factors and the cross-section of commodity futures returns," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 316-332.
    28. Bhar, Ramaprasad & Hamori, Shigeyuki, 2008. "Information content of commodity futures prices for monetary policy," Economic Modelling, Elsevier, vol. 25(2), pages 274-283, March.
    29. Hess, Dieter E. & Huang, He & Niessen-Ruenzi, Alexandra, 2008. "How do commodity futures respond to macroeconomic news?," CFR Working Papers 08-03, University of Cologne, Centre for Financial Research (CFR).
    30. Malliaris, A.G., 2006. "US inflation and commodity prices: Analytical and empirical issues," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 267-271, March.
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    Cited by:

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    3. Ye, Wuyi & Guo, Ranran & Deschamps, Bruno & Jiang, Ying & Liu, Xiaoquan, 2021. "Macroeconomic forecasts and commodity futures volatility," Economic Modelling, Elsevier, vol. 94(C), pages 981-994.
    4. Marek Vochozka & Svatopluk Janek & Lenka Širáňová, 2023. "Geopolitical deadlock and phosphate shortfall behind the price hike? Evidence from Moroccan commodity markets," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(8), pages 301-308.
    5. Pradhan, Ashis Kumar & Mishra, Bibhuti Ranjan & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2020. "Macroeconomic factors and frequency domain causality between Gold and Silver returns in India," Resources Policy, Elsevier, vol. 68(C).

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    More about this item

    Keywords

    Commodity futures index; Nonlinear Granger causality; Professional macroeconomic forecasts;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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