IDEAS home Printed from https://ideas.repec.org/a/bfr/rueban/201512.html

The fall in oil prices in 2014: the role of supply and demand components

Author

Listed:
  • Delle Chiaie, S.

Abstract

The price of oil plunged in the second half of 2014, falling by more than 40% from June to December 2014. In this article, we use a structural econometric model for the global oil market, as in Kilian and Murphy (2014), to quantify the contributions of oil supply, aggregate demand and oil-specific demand shocks to the cumulative oil price change from June to December 2014. The results obtained from the estimated model indicate that oil prices have been driven down by all three factors. However, unanticipated supply shifts explain only one-third of the oil price decline. Aggregate demand shocks associated with an unexpected weakening in global real activity and other oil-specific demand components related to changes in market expectations of future demand and supply conditions, account for a larger portion of the oil price fall.

Suggested Citation

  • Delle Chiaie, S., 2015. "The fall in oil prices in 2014: the role of supply and demand components," Rue de la Banque, Banque de France, issue 12, October..
    • Handle: RePEc:bfr:rueban:2015:12
    as

    Download full text from publisher

    File URL: https://publications.banque-france.fr/sites/default/files/medias/documents/rue-de-la-banque_12_2015-10_en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simona Delle Chiaie & Laurent Ferrara & Domenico Giannone, 2022. "Common factors of commodity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 461-476, April.
    2. 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.
    3. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Caldara, Dario & Cavallo, Michele & Iacoviello, Matteo, 2019. "Oil price elasticities and oil price fluctuations," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 1-20.
    2. Lutz Kilian & Xiaoqing Zhou, 2023. "The Econometrics of Oil Market VAR Models," Advances in Econometrics, in: Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications, volume 45, pages 65-95, Emerald Group Publishing Limited.
    3. Rubaszek, Michał, 2021. "Forecasting crude oil prices with DSGE models," International Journal of Forecasting, Elsevier, vol. 37(2), pages 531-546.
    4. Casoli, Chiara & Manera, Matteo & Valenti, Daniele, 2024. "Energy shocks in the Euro area: Disentangling the pass-through from oil and gas prices to inflation," Journal of International Money and Finance, Elsevier, vol. 147(C).
    5. Kilian, Lutz, 2022. "Facts and fiction in oil market modeling," Energy Economics, Elsevier, vol. 110(C).
    6. Abiad, Abdul & Qureshi, Irfan A., 2023. "The macroeconomic effects of oil price uncertainty," Energy Economics, Elsevier, vol. 125(C).
    7. Aït-Youcef, Camille & Joëts, Marc, 2024. "The role of index traders in the financialization of commodity markets: A behavioral finance approach," Energy Economics, Elsevier, vol. 136(C).
    8. Bruns, Stephan B. & Moneta, Alessio & Stern, David I., 2021. "Estimating the economy-wide rebound effect using empirically identified structural vector autoregressions," Energy Economics, Elsevier, vol. 97(C).
    9. Salzmann, Leonard, 2024. "Do Survey Data Help Identify Supply and Demand Shocks in Sign-restricted SVARs?," EconStor Preprints 289576, ZBW - Leibniz Information Centre for Economics.
    10. Sheng, Xin & Gupta, Rangan & Ji, Qiang, 2020. "The impacts of structural oil shocks on macroeconomic uncertainty: Evidence from a large panel of 45 countries," Energy Economics, Elsevier, vol. 91(C).
    11. repec:rnp:ppaper:r90221 is not listed on IDEAS
    12. Oguzhan Ozcelebi & Kaya Tokmakcioglu, 2022. "Assessment of the asymmetric impacts of the geopolitical risk on oil market dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 275-289, January.
    13. repec:diw:diwwpp:dp1672 is not listed on IDEAS
    14. Van Robays, Ine, 2012. "Macroeconomic uncertainty and the impact of oil shocks," Working Paper Series 1479, European Central Bank.
    15. Hong, Yanran & Cao, Shijiao & Xu, Pengfei & Pan, Zhigang, 2024. "Interpreting the effect of global economic risks on crude oil market: A supply-demand perspective," International Review of Financial Analysis, Elsevier, vol. 91(C).
    16. Joëts, Marc, 2015. "Heterogeneous beliefs, regret, and uncertainty: The role of speculation in energy price dynamics," European Journal of Operational Research, Elsevier, vol. 247(1), pages 204-215.
    17. Gerlach, Stefan & Stuart, Rebecca, 2024. "Commodity prices and international Inflation, 1851–1913," Journal of International Money and Finance, Elsevier, vol. 144(C).
    18. Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "A Model of the Fed's View on Inflation," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 686-704, October.
    19. Salisu, Afees A. & Adediran, Idris, 2020. "Gold as a hedge against oil shocks: Evidence from new datasets for oil shocks," Resources Policy, Elsevier, vol. 66(C).
    20. Drachal, Krzysztof, 2019. "Forecasting prices of selected metals with Bayesian data-rich models," Resources Policy, Elsevier, vol. 64(C).
    21. Ahmed, Rashad, 2020. "Global Flight-to-Safety Shocks," MPRA Paper 103501, University Library of Munich, Germany.
    22. David S. Jacks & Martin Stuermer, 2021. "Dry bulk shipping and the evolution of maritime transport costs, 1850–2020," Australian Economic History Review, Economic History Society of Australia and New Zealand, vol. 61(2), pages 204-227, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bfr:rueban:2015:12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael brassart (email available below). General contact details of provider: https://edirc.repec.org/data/bdfgvfr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.