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Modelling the Global Price of Oil:Is there any Role for the Oil Futures-spot Spread?

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  • Daniele Valenti

Abstract

This paper illustrates the main benefits of accounting for the oil futures-spot spread in a Structural Vector Autoregressive model of the international market for crude oil. To this end, we replace the proxy for global above-ground crude oil inventories with the spread, which is derived by Brent crude futures prices with maturity 3-months. This model can be motivated on the basis of several economic considerations. First, the spread exploits the price discovery role in the crude oil futures markets. Second, the spread-based model alongside a proper set of identifying assumptions accounts for the presence of informational frictions and it allows for the feedback effect from futures to spot markets. Finally, the inventory proxy is affected by measurement error. The dynamic response functions show a positive relationship between the spread and the real price of oil, triggered by speculative shocks to financial markets. Moreover, this study provides a clear picture of the historical dynamic of the real price of oil and the spread during some of the exogenous events in the oil markets.

Suggested Citation

  • Daniele Valenti, 2022. "Modelling the Global Price of Oil:Is there any Role for the Oil Futures-spot Spread?," The Energy Journal, , vol. 43(2), pages 41-66, March.
  • Handle: RePEc:sae:enejou:v:43:y:2022:i:2:p:41-66
    DOI: 10.5547/01956574.43.2.dval
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    References listed on IDEAS

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    1. Andrea Carriero & Haroon Mumtaz & Konstantinos Theodoridis & Angeliki Theophilopoulou, 2015. "The Impact of Uncertainty Shocks under Measurement Error: A Proxy SVAR Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(6), pages 1223-1238, September.
    2. Eugene F. Fama & Kenneth R. French, 2015. "Commodity Futures Prices: Some Evidence on Forecast Power, Premiums, and the Theory of Storage," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 4, pages 79-102, World Scientific Publishing Co. Pte. Ltd..
    3. Ana María Herrera & Sandeep Kumar Rangaraju, 2020. "The effect of oil supply shocks on US economic activity: What have we learned?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(2), pages 141-159, March.
    4. Lutz Kilian & Daniel P. Murphy, 2012. "Why Agnostic Sign Restrictions Are Not Enough: Understanding The Dynamics Of Oil Market Var Models," Journal of the European Economic Association, European Economic Association, vol. 10(5), pages 1166-1188, October.
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