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Learning in the Oil Futures Markets: Evidence and Macroeconomic Implications

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Abstract

We show that a model where investors learn about the persistence of oil-price movements accounts well for the fluctuations in oil-price futures since the late 1990s. Using a DSGE model, we then show that this learning process alters the impact of oil shocks, making it time-dependent and consistent with the muted impact oil-price changes had on macroeconomic outcomes during the early 2000s and again over the past two years. The Spring 2008 increase in oil prices had a larger impact because market participants considered that it was likely driven by permanent shocks.

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  • Sylvain Leduc & Kevin Moran & Robert J. Vigfusson, 2016. "Learning in the Oil Futures Markets: Evidence and Macroeconomic Implications," International Finance Discussion Papers 1179, Board of Governors of the Federal Reserve System (U.S.).
    • Handle: RePEc:fip:fedgif:1179
    DOI: 10.17016/IFDP.2016.1179
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    Cited by:

    1. Galego Mendes,Arthur & Pennings,Steven Michael, 2020. "One Rule Fits All ? Heterogeneous Fiscal Rules for Commodity Exporters When Price Shocks Can BePersistent: Theory and Evidence," Policy Research Working Paper Series 9400, The World Bank.
    2. Huang, Dayong & Li, Jay Y. & Wu, Kai, 2021. "The effect of oil supply shocks on industry returns," Journal of Commodity Markets, Elsevier, vol. 24(C).
    3. Lutz Kilian & Robert J. Vigfusson, 2017. "The Role of Oil Price Shocks in Causing U.S. Recessions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(8), pages 1747-1776, December.
    4. Holm-Hadulla, Fédéric & Hubrich, Kirstin, 2017. "Macroeconomic implications of oil price fluctuations: a regime-switching framework for the euro area," Working Paper Series 2119, European Central Bank.
    5. Nooman Rebei & Rashid Sbia, 2021. "Transitory and permanent shocks in the global market for crude oil," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 1047-1064, November.
    6. Deepa D. Datta & Benjamin K. Johannsen & Hannah Kwon & Robert J. Vigfusson, 2021. "Oil, Equities, and the Zero Lower Bound," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(2), pages 214-253, April.
    7. Moran, Kevin & Nono, Simplice Aimé, 2018. "Gradual learning about shocks and the forward premium puzzle," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 79-100.
    8. Fernández, Andrés & González, Andrés & Rodríguez, Diego, 2018. "Sharing a ride on the commodities roller coaster: Common factors in business cycles of emerging economies," Journal of International Economics, Elsevier, vol. 111(C), pages 99-121.
    9. Maryam Movahedifar & Hossein Hassani & Masoud Yarmohammadi & Mahdi Kalantari & Rangan Gupta, 2021. "A robust approach for outlier imputation: Singular Spectrum Decomposition," Working Papers 202164, University of Pretoria, Department of Economics.
    10. Baumeister, Christiane, 2021. "Measuring Market Expectations," CEPR Discussion Papers 16520, C.E.P.R. Discussion Papers.
    11. Gambetti, Luca & Moretti, Laura, 2017. "News, Noise and Oil Price Swings," Research Technical Papers 12/RT/17, Central Bank of Ireland.

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    More about this item

    Keywords

    Kalman filter; Time-variation; Inventories; Conditional response;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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